Relevant bibliographies by topics / Chemical compound

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Chemical compound'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Chemical compound"

1

Wang, Hongwei, Edgar Chambers, and Jianquan Kan. "Sensory Characteristics of Combinations of Phenolic Compounds Potentially Associated with Smoked Aroma in Foods." Molecules 23, no. 8 (July 26, 2018): 1867. http://dx.doi.org/10.3390/molecules23081867.

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The sensory characteristics of phenolic compounds combinations were evaluated. A highly trained descriptive panel evaluated combinations of chemicals (two chemicals at a time) containing either one smoky aroma and one non-smoky aroma chemical compound, two smoky aroma chemicals, or two non-smoky aroma chemicals. The non-smoky compounds had been associated with smoke aroma in other studies, but were not found to be smoky when tested individually. Smoked flavor characteristics and intensities were changed significantly when two phenolic compounds were combined. Non-smoky phenolic compounds often contributed the smoked flavor when combined with one smoky phenolic compound or another non-smoky phenolic compound. It is necessary to understand the sensory characteristics of compound combinations as well as individual compounds.
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Klein, Ursula. "Origin of the Concept Chemical Compound." Science in Context 7, no. 2 (1994): 163–204. http://dx.doi.org/10.1017/s0269889700001666.

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The ArgumentMost historians of science share the conviction that the incorporation of the corpuscular theory into seventeenth-century chemistry was the beginning of modern chemistry. My thesis in this paper is that modern chemisty started with the concept of the chemicl compound, which emerged at the end of the seventeenth and the beginning of the eighteenth century, without any signifivant influence of the corpuscular theory. Rather the historical reconstruction of the emergence of this concept shows that it resulted from the reflection on the chemical operations in the sixteenth-century metallurgy and seventeenth-century pharmacy. I argue that the reversibility of these operations and their understanding as crafts (metallurgy) or chemical arts (pharmacy) were decisive factors for the emergence of the first ideas about chemical compounds in the seventeenth-century pharmaceutical works written by pharmaceutically trained authors, influenced by the Paracelsian image of nature. There is a direct line of descent from these authors to E.F.Geoffroy (1675–1742), who integrated the first scattered ideas of chemical compound into a general concept comprising chemical artefacts as well as natural bodies.
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Dofuor, Aboagye Kwarteng, Temitayo Samson Ademolue, Cynthia Mmalebna Amisigo, Kwaku Kyeremeh, and Theresa Manful Gwira. "Chemical Derivatization and Characterization of Novel Antitrypanosomals for African Trypanosomiasis." Molecules 26, no. 15 (July 25, 2021): 4488. http://dx.doi.org/10.3390/molecules26154488.

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The search for novel antitrypanosomals and the investigation into their mode of action remain crucial due to the toxicity and resistance of commercially available antitrypanosomal drugs. In this study, two novel antitrypanosomals, tortodofuordioxamide (compound 2) and tortodofuorpyramide (compound 3), were chemically derived from the natural N-alkylamide tortozanthoxylamide (compound 1) through structural modification. The chemical structures of these compounds were confirmed through spectrometric and spectroscopic analysis, and their in vitro efficacy and possible mechanisms of action were, subsequently, investigated in Trypanosoma brucei (T. brucei), one of the causative species of African trypanosomiasis (AT). The novel compounds 2 and 3 displayed significant antitrypanosomal potencies in terms of half-maximal effective concentrations (EC50) and selectivity indices (SI) (compound 1, EC50 = 7.3 μM, SI = 29.5; compound 2, EC50 = 3.2 μM, SI = 91.3; compound 3, EC50 = 4.5 μM, SI = 69.9). Microscopic analysis indicated that at the EC50 values, the compounds resulted in the coiling and clumping of parasite subpopulations without significantly affecting the normal ratio of nuclei to kinetoplasts. In contrast to the animal antitrypanosomal drug diminazene, compounds 1, 2 and 3 exhibited antioxidant absorbance properties comparable to the standard antioxidant Trolox (Trolox, 0.11 A; diminazene, 0.50 A; compound 1, 0.10 A; compound 2, 0.09 A; compound 3, 0.11 A). The analysis of growth kinetics suggested that the compounds exhibited a relatively gradual but consistent growth inhibition of T. brucei at different concentrations. The results suggest that further pharmacological optimization of compounds 2 and 3 may facilitate their development into novel AT chemotherapy.
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Tang, Xiaoling, and Ting Peng. "Chemical Compound Chemical Treatment in Animal Husbandry." Journal of Chemistry 2020 (November 20, 2020): 1–8. http://dx.doi.org/10.1155/2020/4263124.

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The acidulant is widely used in the production of animal husbandry, and its use is affected by many factors, including environmental factors, dosage, diet composition, and animal’s own factors, so only the correct use of the acidulant can bring good results in animal production and financial income. This article takes acidifier as an example to study the application of compound chemical treatment in livestock farms. In this paper, the effect of using acidulant in the first 1 to 3 weeks after early weaning of piglets is obvious through this experimental study. The effect gradually decreases after 3 weeks and basically has no effect after 4 weeks. Experimental studies have found that the combination of organic acids, antibiotics, and high copper is the most effective. These three have different functions and have complementary or additive effects. Under harsh feeding conditions, especially when the environmental sanitation and environmental conditions are relatively poor, the effect of acidulants is better than good feeding conditions. Experimental data show that fulvic acid depletes milk’s somatic cells in a short period of time and then quickly activates immune function, which is indicated by the increase in lymphocytes in the blood. When a large number of somatic cells migrate to the breast, the somatic cells in milk will also increase, thereby improving the immunity mediated by human cells. The experimental results show that the BFA formula added 1% to the cattle feed. After the research control of this experiment, the milk output increased by 9–17%, and the quality milk output increased by 19.12%, so the use of acidulant increased feed compensation and reduces gastrointestinal diseases and the reproduction of microorganisms in the rumen of dairy cows.
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de la Vega de León, Antonio, and Jürgen Bajorath. "Design of chemical space networks incorporating compound distance relationships." F1000Research 5 (November 4, 2016): 2634. http://dx.doi.org/10.12688/f1000research.10021.1.

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Networks, in which nodes represent compounds and edges pairwise similarity relationships, are used as coordinate-free representations of chemical space. So-called chemical space networks (CSNs) provide intuitive access to structural relationships within compound data sets and can be annotated with activity information. However, in such similarity-based networks, distances between compounds are typically determined for layout purposes and clarity and have no chemical meaning. By contrast, inter-compound distances as a measure of dissimilarity can be directly obtained from coordinate-based representations of chemical space. Herein, we introduce a CSN variant that incorporates compound distance relationships and thus further increases the information content of compound networks. The design was facilitated by adapting the Kamada-Kawai algorithm. Kamada-Kawai networks are the first CSNs that are based on numerical similarity measures, but do not depend on chosen similarity threshold values.
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de la Vega de León, Antonio, and Jürgen Bajorath. "Design of chemical space networks incorporating compound distance relationships." F1000Research 5 (November 30, 2016): 2634. http://dx.doi.org/10.12688/f1000research.10021.2.

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Networks, in which nodes represent compounds and edges pairwise similarity relationships, are used as coordinate-free representations of chemical space. So-called chemical space networks (CSNs) provide intuitive access to structural relationships within compound data sets and can be annotated with activity information. However, in such similarity-based networks, distances between compounds are typically determined for layout purposes and clarity and have no chemical meaning. By contrast, inter-compound distances as a measure of dissimilarity can be directly obtained from coordinate-based representations of chemical space. Herein, we introduce a CSN variant that incorporates compound distance relationships and thus further increases the information content of compound networks. The design was facilitated by adapting the Kamada-Kawai algorithm. Kamada-Kawai networks are the first CSNs that are based on numerical similarity measures, but do not depend on chosen similarity threshold values.
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Luo, Yong Ming, Xiao Yin Yin, and Ming Yong Xie. "Chemical Constituents and Bioactivity of Chloranthus Multistachys." Advanced Materials Research 343-344 (September 2011): 1189–92. http://dx.doi.org/10.4028/www.scientific.net/amr.343-344.1189.

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From Chloranthus multistachys, three sesquiterpene lactones, multislactone (1), codonolactone(2), lasianthuslactone A(3), and three diterpenes, 12R,15- dihydroxylabda-8(17), 13E- dien-19-oic acid(4), 12(S),15- dihydroxy labda-8(17), 13E-dien- 19-oic acid(5), 12-oxo-15- hydroxylabda-8(17), 13E-dien-19-oic acid(6) were isolated. The structures of the isolated compounds were established by means of NMR and MS analyses. Compound 1~6 were firstly isolated from this plant. Compound 1 is new natural products. Among them , compound 1 and 6 show anti- inflammatory activities.
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Perualila-Tan, Nolen Joy, Ziv Shkedy, Willem Talloen, Hinrich W. H. Göhlmann, Marijke Van Moerbeke, and Adetayo Kasim. "Weighted similarity-based clustering of chemical structures and bioactivity data in early drug discovery." Journal of Bioinformatics and Computational Biology 14, no. 04 (August 2016): 1650018. http://dx.doi.org/10.1142/s0219720016500189.

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The modern process of discovering candidate molecules in early drug discovery phase includes a wide range of approaches to extract vital information from the intersection of biology and chemistry. A typical strategy in compound selection involves compound clustering based on chemical similarity to obtain representative chemically diverse compounds (not incorporating potency information). In this paper, we propose an integrative clustering approach that makes use of both biological (compound efficacy) and chemical (structural features) data sources for the purpose of discovering a subset of compounds with aligned structural and biological properties. The datasets are integrated at the similarity level by assigning complementary weights to produce a weighted similarity matrix, serving as a generic input in any clustering algorithm. This new analysis work flow is semi-supervised method since, after the determination of clusters, a secondary analysis is performed wherein it finds differentially expressed genes associated to the derived integrated cluster(s) to further explain the compound-induced biological effects inside the cell. In this paper, datasets from two drug development oncology projects are used to illustrate the usefulness of the weighted similarity-based clustering approach to integrate multi-source high-dimensional information to aid drug discovery. Compounds that are structurally and biologically similar to the reference compounds are discovered using this proposed integrative approach.
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Yokosuka, Akihito, Atsushi Sekiguchi, and Yoshihiro Mimaki. "Chemical Constituents of the Leaves of Dracaena thalioides." Natural Product Communications 8, no. 3 (March 2013): 1934578X1300800. http://dx.doi.org/10.1177/1934578x1300800309.

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Two new furostanol bisdesmosides (1 and 2) and seven known compounds (3-9) were isolated from the leaves of Dracaena thalioides (Agavaceae). The structures of the new compounds were determined on the basis of spectroscopic data and the results of hydrolytic cleavage. The isolated compounds were evaluated for cytotoxic activity against HL-60 human promyelocytic leukemia cells. Compound 5, a glyceroglycolipid-related compound assigned as (2 S)-1- O-linoleoyl-3- O-β-D-galactopyranosylglycerol, was found to induce apoptotic cell death in HL-60 cells with an IC50 value of 25.8 μM.
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Chel Kwun, Young, Manzoor Ahmad Zahid, Waqas Nazeer, Ashaq Ali, Maqbool Ahmad, and Shin Min Kang. "On the zagreb polynomials of benzenoid systems." Open Physics 16, no. 1 (November 30, 2018): 734–40. http://dx.doi.org/10.1515/phys-2018-0092.

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AbstractTopological indices play significant role in determining properties of chemical compound. Algebraic polynomials help to compute topological indices of studied chemical compounds. Benzenoid systems are used mainly as an intermediate to make other chemicals. In this report we aim to compute Zagreb polynomials of zigzag, rhombic, triangular, hourglass and jagged-rectangle benzenoid systems.
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Dissertations / Theses on the topic "Chemical compound"

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Zhu, Ya. "Chemical Compound Classification Ensemble." Thesis, North Dakota State University, 2013. https://hdl.handle.net/10365/27059.

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Document incorrectly classified as a dissertation on title page (decision to classify as a thesis from NDSU Graduate School)
In the research of health science, scientists often need to screen numerous chemical compounds to find drugs that can treat a disease. The process of testing the functionality of these compounds in the laboratory is very time-consuming. Computational methods have been used to accelerate this process. These computational methods are implemented based on the principle that chemical compounds with similar structure often have similar function. Thus, these methods maintain a database of chemical compounds whose function has been verified using laboratory experiments. The database contains the chemical structural formula of a compound, the 3D coordinate of every atom, and whether it has a certain function, e.g. it can kill a virus. Then, for a new compound, the programs compare its structure with those in the database and predict if it has the function based on the structure similarity. Thus, predicting the function of a compound is a two-class classification problem. In this project, we try to address this two-class classification problem using global and local similarity between compounds. The global similarity measures the overall structural resemblance between two compounds. When a group of compounds have the same function, they usually share some common sub-structures. These common sub-structures may correspond to their functional sites. Local similarity is computed based on the occurrences of common sub-structures between compounds. We built several classification models based on global and local similarity. To improve the classification result, we used an ensemble of those models to predict the function compounds in NCI cancer data sets. We predict whether a compound can inhibit cancer cell growth or not, obtaining AUC higher than 80% for five datasets. We compare our results with other state-of-the-art methods. Our classification result is the best in all five datasets. Our results show that local similarity is more useful than global similarity in predicting compound function. An ensemble method integrating global and local similarity achieves much better performance than single predicting models.
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Tsamopoulos, John Abraham. "Nonlinear dynamics of simple and compound drops." Thesis, Massachusetts Institute of Technology, 1985. http://hdl.handle.net/1721.1/119604.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1985.
MICROFICHE COPY AVAILABLE IN ARCHIVES AND SCIENCE.
Bibliography: leaves 176-186.
by John Abraham Tsamopoulos.
Ph.D.
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Wang, Hao. "Design of a Structure Search Engine for Chemical Compound Database." Digital Archive @ GSU, 2008. http://digitalarchive.gsu.edu/cs_diss/33.

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The search for structural fragments (substructures) of compounds is very important in medicinal chemistry, QSAR, spectroscopy, and many other fields. In the last decade, with the development of hardware and evolution of database technologies, more and more chemical compound database applications have been developed along with interfaces of searching for targets based on user input. Due to the algorithmic complexity of structure comparison, essentially a graph isomorphism problem, the current applications mainly work by the approximation of the comparison problem based on certain chemical perceptions and their search interfaces are often e-mail based. The procedure of approximation usually invokes subjective assumption. Therefore, the accuracy of the search is undermined, which may not be acceptable for researchers because in a time-consuming drug design, accuracy is always the first priority. In this dissertation, a design of a search engine for chemical compound database is presented.The design focuses on providing a solution to develop an accurate and fast search engine without sacrificing performance. The solution is comprehensive in a way that a series of related problems were addressed throughout the dissertation with proposed methods. Based on the design, a flexible computing model working for compound search engine can be established and the model can be easily applied to other applications as well. To verify the solution in a practical manner, an implementation based on the presented solution was developed. The implementation clarifies the coupling between theoretic design and technique development. In addition, a workable implementation can be deployed to test the efficiency and effectiveness of the design under variant of experimental data.
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McDaniel, Eric B. "Organophosphorus Compound Detection Using Enzyme Encapsulated in Peptide Nanotubes." University of Toledo / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1384526146.

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Castro, Joseph Emmanuel 1962. "Model compound interactions characterizing aquatic humic substances." Thesis, The University of Arizona, 1990. http://hdl.handle.net/10150/277256.

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An attempt was made to simulate XAD-8 isolates of Orange County groundwater and Biscayne Aquifer groundwater using mixtures of single ligands. Mixtures of catechol, glycine, phthalic acid and salicylic acid were used to simulate potentiometric and complexometric titrations. Concentrations used for the mixtures were based on carboxylic acidity, dissolved organic carbon, and assumed values for phenolic acidity and nitrogen content. Potentiometric titrations were reproduced with mixtures of the ligands; however, complexometric titrations at pH 6.2 and pH 7.5 could not be duplicated. A stronger ligand was required to fit the pH 6.2 titrations, and higher carboxylic contents were needed for pH 7.5. At pH 6.2 70 percent of the binding sites were attributed to phthalic acid-type groups and 20 percent to catechol-type groups. At pH 7.5 greater than 98 percent was attributed to phthalic acid-type groups.
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Yahya, Faridah Binti. "Extraction of aroma compound from Pandan leaf and use of the compound to enhance rice flavour." Thesis, University of Birmingham, 2012. http://etheses.bham.ac.uk//id/eprint/3773/.

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Supercritical carbon dioxide (SC-CO\(_2\)) and Soxhlet extraction using hexane as solvent were used to extract 2-acetyl-1-pyrroline (2-AP) from Pandan leaves. The effect of different extraction pre-treatments, such as particle size and drying on the extraction yield and concentration of 2-AP were investigated. The identification and quantification of 2-AP were carried out by gas chromatography-mass spectrometry and gas chromatography-flame ionization detector, respectively. This work aims to provide an understanding of the phenomena that occur during cooking and storage; typically on the changes of 2-AP absorption when cooking rice grains with Pandan leaves. The parameters investigated were cooking method of excess and optimal water conditions. Even though low in yield, and the 2-AP concentration was obtained from supercritical carbon dioxide extraction, the extracts were pure without any contamination. The grinding and freeze-drying method revealed the best pre-treatments for supercritical extraction. The absorption of 2-AP during the cooking of rice grains did not smoothly increase with time. This unexpected result indicated that the phenomena occurring during cooking are quite complex. This work also quantified the potential of Pandan leaves to enhance the flavour of cooked rice, particularly under excess water conditions. Storage for 15 min at 24.0 \(\pm\)1.0\( \circ\)C is considered as the optimum time for obtaining cooked rice with a high quality of flavour.
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Kotsiopoulos, Athanasios. "The hydrocracking of Fischer-Tropsch wax : using n-tetradecane as a model compound." Master's thesis, University of Cape Town, 2005. http://hdl.handle.net/11427/8662.

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Includes bibliographical references (p. 99-102).
Increasingly stringent legislation has been applied to transportation fuels to minimise or eliminate aromatics and sulphur compounds in diesel fuel. This has led to manufacturers determining alternative production methods to comply to legislation. Part of the current diesel fuel is being produced by hydrocracking heavier fractions derived from crude oil. These hydrocracking processes utilise bi-functional catalysts which have a metal (hydrogenating/dehydrogenating) function and an acid (cracking) function. The most common of these hydrocracking catalysts are combinations of either noble metals and acid zeolites, such as Pt/ HY, or combined sulphides of group VIA and VIIIA metals on amorphous acidic supports, such as CoMo/SiO2-Al2O3. For good quality diesel, the fuel should have a high cetane number and the aromatics and sulphur content should also be kept to a. minimum (e.g. EU legislation: sulphur content must be below 10 ppm (wt) by 2008). Fischer-Tropsch wax is made up predominantly of long-chain linear paraffins with exceptionally low aromatics and heteroatom content (sulphur and nitrogen-containing compounds) and therefore a good source for very 'clean', good quality diesel. The objective of this study was therefore to investigate the suitability of a conventional bi-functional hydrocracking catalyst namely, CoMo/SiO2-Al2O3 in unsulphided form for the hydrocracking of Fischer-Tropsch wax using n-tetradecane as a model compound. The purpose of using the catalyst in unsulphided form was not to introduce any sulphur to the already sulphur-free feedstock.
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Fenwick, William Edward. "Metalorganic chemical vapor deposition of gallium nitride on sacrificial substrates." Diss., Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/34687.

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GaN-based light emitting diodes (LEDs) face several challenges if the technology is to make a significant impact on the solid state lighting market. The two most pressing of these challenges are cost and efficiency. The development of alternative substrate technologies shows promise toward addressing both of these challenges, as both GaN-based device technology and the associated metalorganic chemical vapor deposition (MOCVD) technology are already relatively mature. Zinc oxide (ZnO) and silicon (Si) are among the most promising alternative substrates for GaN epitaxy. This work focuses on the development of MOCVD growth processes to yield high quality GaN-based materials and devices on ZnO and Si. ZnO, because of its similar lattice constant and thermal expansion coefficient, is a promising substrate for growth of low defect-density GaN. The major hurdles for GaN growth on ZnO are the instability of ZnO in a hydrogen atmosphere and out-diffusion of zinc and oxygen from the substrate. A process was developed for the MOCVD growth of wurtzite GaN and InxGa1-xN on ZnO, and the structural and optical properties of these films were studied. High zinc and oxygen concentrations remained an issue, however, and the diffusion of zinc and oxygen into the subsequent GaN layer was studied more closely. Silicon is the most promising material for the development of an inexpensive, large-area substrate technology. The challenge in GaN growth on Si is the tensile strain induced by the lattice and thermal mismatch between GaN and Si. A thin atomic layer deposition (ALD)-grown Al2O3 interlayer was employed to relieve strain while also simplifying the growth process. While some strain was still observed, the oxide interlayer leads to an improvement in thin film quality and a reduction in both crack density and screw dislocation density in the GaN films. A comparison of GaN-based LEDs grown on sapphire and Al2O3/Si shows similar performance characteristics for both devices. IQE of the devices on silicon is ~32%, compared to ~37% on sapphire. These results show great promise toward an inexpensive, large-area, silicon-based substrate technology for MOCVD growth of GaN-based optoelectronic devices.
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Gopal, Madan. "Microwave enhanced chemical vapor deposition of silicon compound thin films and their characterization." Ohio : Ohio University, 1991. http://www.ohiolink.edu/etd/view.cgi?ohiou1183728633.

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Kanekal, Kiran H. [Verfasser]. "Investigating the Effect of Coarse-Graining on Chemical Compound Space / Kiran H. Kanekal." Mainz : Universitätsbibliothek der Johannes Gutenberg-Universität Mainz, 2021. http://d-nb.info/1231433515/34.

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Books on the topic "Chemical compound"

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Dybkov, V. I. Growth kinetics of chemical compound layers. Cambridge: Cambridge International Science, 1998.

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Dybkov, V. I. Growth Kinetics of Chemical Compound Layers. Cambridge: Cambridge International Science Publishing, 1998.

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Jones, Anthony C. CVD of compound semiconductors: Precursor synthesis, development and applications. Weinheim, Germany: VCH, 1997.

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Stringfellow, G. B. Organometallic vapor-phase epitaxy: Theory and practice. 2nd ed. San Diego: Academic Press, 1999.

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Stringfellow, G. B. Organometallic vapor phase epitaxy: Theory and practice. Boston: Academic Press, 1989.

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Wetz, Jennifer Jarrell. Pump station data report for the May 2001, August 2001 and January 2003 COAST cruises: Nutrients, extracted chlorophyll, and dissolved and particulate organic carbon and nitrogen. Corvallis, Or: College of Oceanic and Atmospheric Sciences, Oregon State University, 2005.

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Organometallic vapor phase epitaxy: Theoryand practice. Boston: Academic Press, 1989.

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Handbook of chemical compound data for process safety: Comprehensive safety and health-related data for hydrocarbons and organic chemicals : selected data for inorganic chemicals. Houston, Tex: Gulf Pub. Co., 1997.

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Wetz, Jennifer Jarrell. Particulate and dissolved organic carbon and nitrogen data from the GLOBEC long-term observation program, 1997-2004. Corvallis, Or: College of Oceanic and Atmospheric Sciences, Oregon State University, 2006.

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Oxlade, Chris. Elements and compounds. Oxford: Heinemann Library, 2007.

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Book chapters on the topic "Chemical compound"

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Richardson, Reg. "Compound Collections." In Plant Chemical Biology, 19–39. Hoboken, NJ: John Wiley & Sons, Inc, 2013. http://dx.doi.org/10.1002/9781118742921.ch2.1.

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Bäuerle, Dieter. "Alloying, Compound Formation." In Chemical Processing with Lasers, 157–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-662-02505-5_7.

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Tate, Fred A. "The Chemical Compound Registry System." In Novartis Foundation Symposia, 158–64. Chichester, UK: John Wiley & Sons, Ltd., 2008. http://dx.doi.org/10.1002/9780470719572.ch11.

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Bandini, Stefania, Alessandro Mosca, and Matteo Palmonari. "Model-Based Chemical Compound Formulation." In Model-Based Reasoning in Science, Technology, and Medicine, 413–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71986-1_24.

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Popa-Burke, Ioana, Stephen Besley, and Zoe Blaxill. "Assessing Compound Quality." In Management of Chemical and Biological Samples for Screening Applications, 23–44. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2012. http://dx.doi.org/10.1002/9783527645251.ch3.

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Vladutz, George, and Scott R. Gould. "Joint Compound/Reaction Storage and Retrieval and Possibilities of a Hyperstructure-Based Solution." In Chemical Structures, 371–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73975-0_39.

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MacCuish, Norah E., and John D. MacCuish. "Clustering Compound Data: Asymmetric Clustering of Chemical Datasets." In ACS Symposium Series, 157–71. Washington, DC: American Chemical Society, 2005. http://dx.doi.org/10.1021/bk-2005-0894.ch011.

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Cox, Philip B., and Anil Vasudevan. "Generating a High-Quality Compound Collection." In Management of Chemical and Biological Samples for Screening Applications, 9–21. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2012. http://dx.doi.org/10.1002/9783527645251.ch2.

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Allen, Michael. "Thinking Lean in Compound Management Laboratories." In Management of Chemical and Biological Samples for Screening Applications, 83–105. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2012. http://dx.doi.org/10.1002/9783527645251.ch6.

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Lee, S., H. Kim, S. A. Solin, and T. J. Pinnavaia. "Layer rigidity of clay intercalation compound: [Me4N+]1−x [Me3NH+]x −V." In Chemical Physics of Intercalation, 497–500. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4757-9649-0_44.

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Conference papers on the topic "Chemical compound"

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Fei, Hongliang, and Jun Huan. "Structure feature selection for chemical compound classification." In 2008 8th IEEE International Conference on Bioinformatics and BioEngineering (BIBE). IEEE, 2008. http://dx.doi.org/10.1109/bibe.2008.4696655.

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Watanabe, Taiki, Akihiro Tamura, Takashi Ninomiya, Takuya Makino, and Tomoya Iwakura. "Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing." In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/d19-1648.

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"Photolytic Oxidation of Hazardous Organic Compound: Phenol." In International Conference on Chemical, Environmental and Biological Sciences. International Institute of Chemical, Biological & Environmental Engineering, 2015. http://dx.doi.org/10.15242/iicbe.c0315027.

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Shi, B. Q., and C. W. Tu. "Simulation of chemical beam epitaxy with triethylgallium and tris(dimethylamino) arsine." In Compound Semiconductors 1997. Proceedings of the IEEE Twenty-Fourth International Symposium on Compound Semiconductors. IEEE, 1997. http://dx.doi.org/10.1109/iscs.1998.711600.

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SMALTER, AARON M., J. HUAN, and GERALD H. LUSHINGTON. "CHEMICAL COMPOUND CLASSIFICATION WITH AUTOMATICALLY MINED STRUCTURE PATTERNS." In The 6th Asia-Pacific Bioinformatics Conference. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 2007. http://dx.doi.org/10.1142/9781848161092_0007.

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"SCAFFOLD HUNTER - Visual Analysis of Chemical Compound Databases." In International Conference on Information Visualization Theory and Applications. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003836806260635.

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Morozov, A., A. Freidin, W. H. Muller, A. Semencha, and M. Tribunskiy. "Modeling temperature dependent chemical reaction of intermetallic compound growth." In 2019 20th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE). IEEE, 2019. http://dx.doi.org/10.1109/eurosime.2019.8724531.

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Engelken, Henriette. "A system for semantic analysis of chemical compound names." In the ACL-IJCNLP 2009 Student Research Workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1667884.1667890.

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Kindler, B. "Chemical Compound Targets for SHIP — Production, Properties, and Application." In APPLICATION OF ACCELERATORS IN RESEARCH AND INDUSTRY: 17TH International Conference on the Application of Accelerators in Research and Industry. AIP, 2003. http://dx.doi.org/10.1063/1.1619828.

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Akaiwa, Kazuaki, Tsubasa Hiroe, Moe Nagano, Tomoki Abe, Motohisa Kado, and Kunio Ichino. "Growth of Ga2(O,S)3 Alloy Films on YSZ Substrates by Mist Chemical Vapor Deposition." In 2019 Compound Semiconductor Week (CSW). IEEE, 2019. http://dx.doi.org/10.1109/iciprm.2019.8819039.

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Reports on the topic "Chemical compound"

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Rinderspacher, B. C. Chemical Compound Design Using Nuclear Charge Distributions. Fort Belvoir, VA: Defense Technical Information Center, March 2012. http://dx.doi.org/10.21236/ada559412.

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Katz, Robert W. Low Volatile Organic Compound (VOC) Chemical Agent Resistant Coating (CARC). Fort Belvoir, VA: Defense Technical Information Center, April 2000. http://dx.doi.org/10.21236/ada608313.

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Wale, Nikil, and George Karypis. Acyclic Subgraph Based Descriptor Spaces for Chemical Compound Retrieval and Classification. Fort Belvoir, VA: Defense Technical Information Center, March 2006. http://dx.doi.org/10.21236/ada444816.

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Rockenfeller, U., and L. Kirol. Solid-vapor complex compound chemical heat pumps for industrial applications: Final report. Office of Scientific and Technical Information (OSTI), October 1988. http://dx.doi.org/10.2172/6296832.

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Duncan, Jeffrey L., John Escarsega, Lisa Weiser, Anthony Eng, and William Hoogsteden. Demonstration/Validation of Low Volatile Organic Compound (VOC) Chemical Agent Resistant Coating (CARC). Fort Belvoir, VA: Defense Technical Information Center, August 2004. http://dx.doi.org/10.21236/ada636811.

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Duncan, Jeffrey, John Escarsega, Lisa Weiser, Anthony Eng, William Hoogsteden, Charles Cundiff, and Allan Schnur. Demonstration/Validation of Low Volatile Organic Compound (VOC) Chemical Agent Resistant Coating (CARC). Fort Belvoir, VA: Defense Technical Information Center, November 2003. http://dx.doi.org/10.21236/ada603760.

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Cundiff, Charles H., Robert M. Leverette, and Jason R. Varner. Low Volatile Organic Compound (VOC) Chemical Agent Resistant Coating (CARC) Removal and Disposal. Fort Belvoir, VA: Defense Technical Information Center, February 2001. http://dx.doi.org/10.21236/ada388926.

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Duncan, Jeffrey L., and John A. Escarsega. Demonstration/Validation of Low Volatile Organic Compound (VOC) Chemical Agent Resistant Coating (CARC) at Tobyhanna Army Depot. Fort Belvoir, VA: Defense Technical Information Center, May 2003. http://dx.doi.org/10.21236/ada416042.

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Staib, Philippe, Gregory Belenky, Leon Shterengas, W. L. Calley, and Gela Kipshidze. Chemical Analyzer for In Situ and Real Time Surface Monitoring for Composition Control During Synthesis of Compound Semiconductor Films. Fort Belvoir, VA: Defense Technical Information Center, March 2014. http://dx.doi.org/10.21236/ada634008.

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Longworth, Terri L., and Kwok Y. Ong. Domestic Preparedness Program: Testing of RAE Systems ppbRAE Volatile Organic Compound (VOC) Monitor Photo-Ionization Detector (PID) Against Chemical Warfare Agents Summary Report. Fort Belvoir, VA: Defense Technical Information Center, September 2001. http://dx.doi.org/10.21236/ada440436.

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