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Relevant bibliographies by topics / Matter phases classification

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Academic literature on the topic 'Matter phases classification'

Author: Grafiati

Published: 6 September 2023

Last updated: 7 September 2023

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Journal articles on the topic "Matter phases classification"

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Schakel, A. M. J., and F. A. Bais. "A symmetry classification of superfluid3He phases." Journal of Physics: Condensed Matter 1, no. 9 (1989): 1743–52. http://dx.doi.org/10.1088/0953-8984/1/9/017.

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Thiang, Guo Chuan. "On the K-Theoretic Classification of Topological Phases of Matter." Annales Henri Poincaré 17, no. 4 (2015): 757–94. http://dx.doi.org/10.1007/s00023-015-0418-9.

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Elben, Andreas, Jinlong Yu, Guanyu Zhu, et al. "Many-body topological invariants from randomized measurements in synthetic quantum matter." Science Advances 6, no. 15 (2020): eaaz3666. http://dx.doi.org/10.1126/sciadv.aaz3666.

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Many-body topological invariants, as quantized highly nonlocal correlators of the many-body wave function, are at the heart of the theoretical description of many-body topological quantum phases, including symmetry-protected and symmetry-enriched topological phases. Here, we propose and analyze a universal toolbox of measurement protocols to reveal many-body topological invariants of phases with global symmetries, which can be implemented in state-of-the-art experiments with synthetic quantum systems, such as Rydberg atoms, trapped ions, and superconducting circuits. The protocol is based on e

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Hernandes, V. F., M. S. Marques, and José Rafael Bordin. "Phase classification using neural networks: application to supercooled, polymorphic core-softened mixtures." Journal of Physics: Condensed Matter 34, no. 2 (2021): 024002. http://dx.doi.org/10.1088/1361-648x/ac2f0f.

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Abstract Characterization of phases of soft matter systems is a challenge faced in many physical chemical problems. For polymorphic fluids it is an even greater challenge. Specifically, glass forming fluids, as water, can have, besides solid polymorphism, more than one liquid and glassy phases, and even a liquid–liquid critical point. In this sense, we apply a neural network algorithm to analyze the phase behavior of a mixture of core-softened fluids that interact through the continuous-shouldered well (CSW) potential, which have liquid polymorphism and liquid–liquid critical points, similar t

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FARAGGI, ALON E. "TOWARD CLASSIFICATION OF THE REALISTIC FREE-FERMIONIC SUPERSTRING MODELS." International Journal of Modern Physics A 14, no. 11 (1999): 1663–702. http://dx.doi.org/10.1142/s0217751x99000841.

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The realistic free-fermionic models have had remarkable success in providing plausible explanations for various properties of the Standard Model, which include the natural appearance of three generations, the explanation of the heavy top quark mass and the qualitative structure of the fermion mass spectrum in general, the stability of the proton, and more. These intriguing achievements make evident the need to understand the general space of these models. While the number of possibilities is large, general patterns can be extracted. In this paper I present a detailed discussion on the construc

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Benalcazar, Wladimir A., B. Andrei Bernevig, and Taylor L. Hughes. "Quantized electric multipole insulators." Science 357, no. 6346 (2017): 61–66. http://dx.doi.org/10.1126/science.aah6442.

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The Berry phase provides a modern formulation of electric polarization in crystals. We extend this concept to higher electric multipole moments and determine the necessary conditions and minimal models for which the quadrupole and octupole moments are topologically quantized electromagnetic observables. Such systems exhibit gapped boundaries that are themselves lower-dimensional topological phases. Furthermore, they host topologically protected corner states carrying fractional charge, exhibiting fractionalization at the boundary of the boundary. To characterize these insulating phases of matt

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Chan, Amos, and Thorsten B. Wahl. "Classification of symmetry-protected topological many-body localized phases in one dimension." Journal of Physics: Condensed Matter 32, no. 30 (2020): 305601. http://dx.doi.org/10.1088/1361-648x/ab7f01.

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Wunderlich, B. "A classification of molecules, phases, and transitions as recognized by thermal analysis." Thermochimica Acta 340-341 (December 1999): 37–52. http://dx.doi.org/10.1016/s0040-6031(99)00252-x.

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Salcedo-Gallo, J. S., C. C. Galindo-González, and E. Restrepo-Parra. "Deep learning approach for image classification of magnetic phases in chiral magnets." Journal of Magnetism and Magnetic Materials 501 (May 2020): 166482. http://dx.doi.org/10.1016/j.jmmm.2020.166482.

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Cedzich, C., T. Geib, F. A. Grünbaum, L. Velázquez, A. H. Werner, and R. F. Werner. "Quantum Walks: Schur Functions Meet Symmetry Protected Topological Phases." Communications in Mathematical Physics 389, no. 1 (2021): 31–74. http://dx.doi.org/10.1007/s00220-021-04284-8.

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AbstractThis paper uncovers and exploits a link between a central object in harmonic analysis, the so-called Schur functions, and the very hot topic of symmetry protected topological phases of quantum matter. This connection is found in the setting of quantum walks, i.e. quantum analogs of classical random walks. We prove that topological indices classifying symmetry protected topological phases of quantum walks are encoded by matrix Schur functions built out of the walk. This main result of the paper reduces the calculation of these topological indices to a linear algebra problem: calculating

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Dissertations / Theses on the topic "Matter phases classification"

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Riesch, Christian. "Non-equilibrium dynamics in ordered modulated phases." Doctoral thesis, Universitätsbibliothek Chemnitz, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-172821.

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In der vorliegenden Arbeit wird die Dynamik geordneter modulierter Phasen außerhalb des thermischen Gleichgewichts untersucht. Der Schwerpunkt liegt auf einem zweidimensionalen, streifenbildenden System, genannt Modell B mit Coulomb-Wechselwirkung, welches aus einem geordneten Anfangszustand unter dem Einfluß eines Rauschterms relaxiert. Aus den mittels numerischer Simulationen gewonnenen Daten wird die lokale Orientierung der Streifen extrahiert und deren raum-zeitliche Korrelationsfunktionen berechnet. Wir beobachten eine langsame Dynamik und Alterungseffekte in der Zwei-Zeit-Autokorrelation

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Schmiedt, Jacob. "Interplay of magnetic, orthorhombic, and superconducting phase transitions in iron-based superconductors." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-154434.

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The physics of iron pnictides has been the subject of intense research for half a decade since the discovery of superconductivity in doped LaFeAsO in 2008. By now there exists a large number of different materials that are summarized under the term "pnictides'' with significant differences in their crystal structure, electronic properties, and their phase diagrams. This thesis is concerned with the investigation of the various phase transitions that are observed in the underdoped compounds of the pnictide subgroups RFeAsO, where R is a rare-earth element, and AFe_2As_2, where A is an alkaline

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Wang, Zitao. "Topological Phases of Matter: Exactly Solvable Models and Classification." Thesis, 2019. https://thesis.library.caltech.edu/11488/14/Wang_Zitao_2019.pdf.

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<p>In this thesis, we study gapped topological phases of matter in systems with strong inter-particle interaction. They are challenging to analyze theoretically, because interaction not only gives rise to a plethora of phases that are otherwise absent, but also renders methods used to analyze non-interacting systems inadequate. By now, people have had a relatively systematic understanding of topological orders in two spatial dimensions. However, less is known about the higher dimensional cases. In Chapter 2, we will explore three dimensional long-range entangled topological orders in the frame

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Roy, Sthitadhi. "Nonequilibrium and semiclassical dynamics in topological phases of quantum matter." 2017. https://monarch.qucosa.de/id/qucosa%3A32068.

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The discovery of topological phases of quantum matter has brought about a new paradigm in the understanding of rich and exotic phases which fall outside the conventional classification of phases using Landau’s theory of broken symmetries. The thesis addresses various aspects of nonequilibrium and semiclassical dynamics in systems hosting such topological phases. While the study of nonequilibrium closed quantum systems is an exciting field in itself, it has gained a lot of importance in the context topological systems. Much of this has been fuelled by the immense progress in the experimental re

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You, Minyoung. "Topological Phases of Matter: Classification, Stacking Law, and Relation to Topological Quantum Field Theory." Thesis, 2020. https://thesis.library.caltech.edu/13859/1/Caltech_Thesis_Minyoung_You.pdf.

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<p>We study aspects of gapped phases of matter, focusing on their classification, including the group law under stacking, and their relation to topological quantum field theories (TQFT). In one spatial dimension, it is well-known that Matrix Product States (MPS) efficiently approximate ground states of gapped systems; by showing that these states arise naturally in 1 + 1-dimensional lattice TQFT, which in turn are closely related to continuum TQFT, we provide a concrete connection between ground states of lattice systems and TQFT in 1 + 1 dimensions. We generalize this to systems with symmetri

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Gupta, Gaurav Kumar. "Interplay of Interaction and Topology From Topological Band Theory to Topological Field Theory." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/4892.

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Classification of phases of matter has long been a central point of interest in the research community in condensed matter physics. Over the past several decades mainly two kinds of classification schemes have emerged, namely, one related to spontaneous symmetry breaking and the other to symmetry invariant topological classification. Although the latter one is fairly new, a lot of progress has been made over the past couple of decades, but still these two classification schemes are generally treated separately. In this thesis, I discuss systems where both the classification schemes need to be

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Alaimo, Francesco. "Phase Field Crystal Modeling of Active Matter." 2018. https://tud.qucosa.de/id/qucosa%3A32687.

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Active matter describes systems that convert energy from their environment into directed motion. Therefore, these systems are in intrinsic nonequilibrium, unlike their passive counterparts. From a theoretical point of view, such active systems have been modeled by agent-based models, as well as hydrodynamic approaches, which allowed for the investigation of a wide range of observed collective phenomena characterizing active matter. In this thesis we develop a microscopic field-theoretical approach to describe generic properties of active systems. This description combines the phase field cryst

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Books on the topic "Matter phases classification"

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Keil, Geert, Lara Keuck, and Rico Hauswald, eds. Vagueness in Psychiatry. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198722373.001.0001.

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Blurred boundaries between the normal and the pathological are a recurrent theme in almost every publication concerned with the classification of mental disorders. However, systematic approaches that take into account the philosophical discussions about vagueness are rare. This is the first volume to systematically draw various lines of philosophical and psychiatric inquiry together–including the debates about categorial versus dimensional approaches in current psychiatric classification systems, the principles of psychiatric classification, the problem of prodromal phases and subthreshold dis

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Janssen, Ted, Gervais Chapuis, and Marc de Boissieu. Description and symmetry of aperiodic crystals. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198824442.003.0002.

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This chapter first introduces the mathematical concept of aperiodic and quasiperiodic functions, which will form the theoretical basis of the superspace description of the new recently discovered forms of matter. They are divided in three groups, namely modulated phases, composites, and quasicrystals. It is shown how the atomic structures and their symmetry can be characterized and described by the new concept. The classification of superspace groups is introduced along with some examples. For quasicrystals, the notion of approximants is also introduced for a better understanding of their stru

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Compston, Alastair. Multiple sclerosis and other demyelinating diseases. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780198569381.003.0871.

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The oligodendrocyte–myelin unit subserves saltatory conduction of the nerve impulse in the healthy central nervous system. At one time, many disease processes were thought exclusively to target the structure and function of myelin. Therefore, they were designated ‘demyelinating diseases’. But recent analyses, based mainly on pathological and imaging studies, (re)emphasize that axons are also directly involved in these disorders during both the acute and chronic phases. Another ambiguity is the extent to which these are inflammatory conditions. Here, distinctions should be made between inflamma

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Giacovazzo, Carmelo. Phasing in Crystallography. Oxford University Press, 2013. http://dx.doi.org/10.1093/oso/9780199686995.001.0001.

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Modern crystallographic methods originate from the synergy of two main research streams, the small-molecule and the macro-molecular streams. The first stream was able to definitively solve the phase problem for molecules up to 200 atoms in the asymmetric unit. The achievements obtained by the macromolecular stream are also impressive. A huge number of protein structures have been deposited in the Protein Data Bank. The solution of them is no longer reserved to an elite group of scientists, but may be attained in a large number of laboratories around the world, even by young scientists. New pro

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Book chapters on the topic "Matter phases classification"

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"Phase States of Matter, Their Classification." In Thermodynamics and Equations of State for Matter. WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789814749206_0002.

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Adriana, REYES-NAVA, SANCHEZ-FLORES Diego, LÓPEZ-GONZÁLEZ Erika, and ANTONIO-VELAZQUEZ Juan Alberto. "Classification of mature corn cobs using Convolutional Neural Networks." In Handbook Science of Technology and Innovation. ECORFAN, 2022. http://dx.doi.org/10.35429/h.2022.3.16.31.

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The aim of this study is to analyze an algorithm capable of classifying mature corn cobs for the detection of diseases, including Aspergillus, Gibberella and Fusarium fungi, in addition to the common charcoal that these elements may have. The process was carried out through a Convolutional Neural Network associated to a classification algorithm, based on deep learning techniques using MobileNet. This work is divided into two phases, the first one is to determine the performance of the algorithm for a small sample of images and videos analysis and the second one is the extension of the data corpus for the automatic analysis of new samples. It is necessary to mention that this work focuses on the development of the first phase, in which the identification and classification of the cob has had promising results.

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West-Eberhard, Mary Jane. "Heterochrony." In Developmental Plasticity and Evolution. Oxford University Press, 2003. http://dx.doi.org/10.1093/oso/9780195122343.003.0019.

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Heterochrony is evolutionary change in the timing of expression of a phenotype trait, that transfers expression of the trait from one life stage or behavioral or physiological phase to another—”the shifting of characters from one part of an ontogeny to another” (Valentine, 1977b, p. 260) or simply “the displacement of characters in time” (Gould, 1977, p. 225). A clear fossil example occurs in monograptids, where there is a temporal shift in the onset of a modified morphology, a life-history modification that is recorded in the structure of the body (figure 13.1). Heterochrony can occur at any level of organization, including the molecular level, where evolutionary changes in the timing of gene expression have been demonstrated, for example, in echinoids and a fibronectin gene of amphibians (Collazo, 1994). Some recent authors (e.g., McKinney and McNamara, 1991; Reilly et al., 1997) define heterochrony as any change in the timing of regulatory events. Most novel traits qualify as heterochrony by this regulatory-timing definition, since virtually all evolutionary change involves change in the timing of developmental events. This regulatorytiming definition of heterochrony leads to a classification of evolutionary change termed panheterochrony by McKinney and McNamara (1991)—a classification of evolutionary transitions that lumps all evolutionary change under the heading of heterochrony. “Because all developmental events occur along a time line, any significant change is likely to result in a heterochrony at some level” (Raff, 1992, p. 211). As expressed by Barbara McClintock in a staff meeting at Cold Spring Harbor Laboratories, “If I could control the time of gene action, I could cause a fertilized snail egg to develop into an elephant. Their biochemistries are not all that different; it's simply a matter of timing”. I will adhere to a classification that divides the effects of regulatory change into their different kinds of effects on phenotypes, in keeping with the general emphasis on phenotypes in this book.

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Conference papers on the topic "Matter phases classification"

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Thiang, Guo Chuan. "On the K-theoretic classification of topological phases of matter." In Frontiers of Fundamental Physics 14. Sissa Medialab, 2016. http://dx.doi.org/10.22323/1.224.0149.

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Badawi, W. K., Z. M. Osman, M. A. Sharkas, and M. Tamazin. "A classification technique for condensed matter phases using a combination of PCA and SVM." In 2017 Progress In Electromagnetics Research Symposium - Spring (PIERS). IEEE, 2017. http://dx.doi.org/10.1109/piers.2017.8261759.

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Canina, Marita, Carmen Bruno, and Eva Monestier. "An operational framework of methods for designing ethical and sustainable future digital scenarios." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001507.

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The rapid pace of technological innovations is changing almost every aspect of people’s lives. Indeed, digital technologies are reshaping behaviors and human interactions as well as having great impacts on the environmental, political and economic level (Schwab, 2016). In this scenario, it becomes paramount for people to be able to adapt to this increasingly digital environment to reach the so-called Digital Maturity (MIT Sloan Management Review, 2017) and to recognize and unlock the huge potentialities of emerging technologies to foster sustainable development (WEF & PwC, 2020).Such topic

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Maia, Pedro, and Raul Pinto. "Original-Copy: ideation for a lampshade inspired by nature." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003545.

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The following article looks at nature as a cultural pre-set narrative (or set of narratives) and reflects on how it can influence the design process to achieve a concrete result - a product. It describes an ongoing process that intersects intangible (behaviours) and tangible (matter) expressions of nature with the concept of Original-Copy, as the conceptual framework to develop and materialize a lampshade.The inclusion of behaviour patterns presents poetic and imaginative properties to trigger the conceptual phase of a project, while biomatter was chosen to physically materialize the ideas. In

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Ali, Abdulbaset, Harnoor Singh, Daniel Kelly, et al. "Automatic Classification of PDC Cutter Damage Using a Single Deep Learning Neural Network Model." In SPE/IADC International Drilling Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/212503-ms.

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Abstract There is considerable value in automatically quantifying cutter damage from drill bit pictures. Current approaches do not classify cutter damage by type, i.e., broken, chipped, lost, etc. We, therefore, present a computer vision model using deep learning neural networks to automate multi-type damage detection in Polycrystalline Diamond Compact (PDC) drill bit cutters. The automated bit damage detection approach presented in this paper is based on training a computer vision model on different cutter damage types aimed at detecting and classifying damaged cutters directly. Prior approac

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