Academic literature on the topic 'Science Application software'

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Journal articles on the topic "Science Application software"

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AbdelBaky, Moustafa, Javier Diaz-Montes, and Manish Parashar. "Software-defined environments for science and engineering." International Journal of High Performance Computing Applications 32, no. 1 (June 15, 2017): 104–22. http://dx.doi.org/10.1177/1094342017710706.

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Service-based access models coupled with recent advances in application deployment technologies are enabling opportunities for realizing highly customized software-defined environments that can achieve new levels of efficiencies and can support emerging dynamic and data-driven applications. However, achieving this vision requires new models that can support dynamic (and opportunistic) compositions of infrastructure services, which can adapt to evolving application needs and the state of resources. In this article, we present a programmable dynamic infrastructure service composition approach that uses software-defined environment concepts to control the composition process. The resulting software-defined infrastructure service composition adapts to meet objectives and constraints set by the users, applications, and/or resource providers. We present and compare two different approaches for programming resources and controlling the service composition, one that is based on a rule engine and another that leverages a constraint programming model for resource description. We present the design and prototype implementation of such software-defined service composition and demonstrate its operation through a use case where multiple views of heterogeneous, geographically distributed services are aggregated on demand based on user and resource provider specifications. The resulting compositions are used to run different bioinformatics workloads, which are encapsulated inside Docker containers. Each view independently adapts to various constraints and events that are imposed on the system while minimizing the workload completion time.
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Sadeghi, Payman, and Michael D. Utzinger. "Simulation Software Application." International Journal of Environmental Sustainability 8, no. 1 (2012): 131–46. http://dx.doi.org/10.18848/2325-1077/cgp/v08i01/55040.

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Molchanov, I. N. "Reliability of application software." Cybernetics and Systems Analysis 33, no. 1 (January 1997): 145–48. http://dx.doi.org/10.1007/bf02665952.

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Orli, Richard J. "Adopting Noncommercial Application Software." Journal of Information Systems Management 6, no. 1 (January 1989): 55–60. http://dx.doi.org/10.1080/07399018908960129.

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YASUOKA, Noritake. "For the Development of Application Software in Macromolecular Science." Kobunshi 48, no. 5 (1999): 311. http://dx.doi.org/10.1295/kobunshi.48.311.

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Solchenbach, Karl, Clemens-August Thole, and Ulrich Trottenberg. "GENESIS application software." Parallel Computing 20, no. 10-11 (November 1994): 1669–73. http://dx.doi.org/10.1016/0167-8191(94)90064-7.

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Lu, Ruqian, and Zhi Jin. "Automating application software generation." Expert Systems 20, no. 2 (May 2003): 72–78. http://dx.doi.org/10.1111/1468-0394.00227.

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Gorla, N. "Techniques for application software maintenance." Information and Software Technology 33, no. 1 (January 1991): 65–73. http://dx.doi.org/10.1016/0950-5849(91)90025-7.

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Schuff, David, and Robert St. Louis. "Centralization vs. decentralization of application software." Communications of the ACM 44, no. 6 (June 2001): 88–94. http://dx.doi.org/10.1145/376134.376177.

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Sjoberg, D. I. K. "Software Constraints for Large Application Systems." Computer Journal 40, no. 10 (October 1, 1997): 598–616. http://dx.doi.org/10.1093/comjnl/40.10.598.

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Dissertations / Theses on the topic "Science Application software"

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Raley, John B. "Factors Affecting the Programming Performance of Computer Science Students." Thesis, Virginia Tech, 1996. http://hdl.handle.net/10919/36716.

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Two studies of factors affecting the programming performance of first- and second year Computer Science students were conducted. In one study students used GIL, a simple application framework, for their programming assignments in a second-semester programming course. Improvements in student performance were realized. In the other study, students submitted detailed logs of how time was spent on projects, along with their programs. Software metrics were computed on the students' source code. Correlations between student performance and the log data and software metric data were sought. No significant indicators of performance were found, even with factors that are commonly expected to indicate performance. However, results from previous research concerning variations in individual programmer performance and relationships between software metrics were obtained.
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Gotchel, Gary. "Enhancing the software development process with wikified widgets." [Denver, Colo.] : Regis University, 2008. http://165.236.235.140/lib/GGotchel2008.pdf.

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Kokkonen, T. (Tommi). "Application software for laboratory-scale process test equipment." Master's thesis, University of Oulu, 2015. http://urn.fi/URN:NBN:fi:oulu-201505211556.

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The purpose of this study was to describe a construct of an application software designed to support laboratory test equipment for pyrolysis/coking process test equipment for the use at the Process Metallurgy Group (PMG) in the University of Oulu. The prior research in the fields of laboratory automation, usability in laboratory context, data gathering, operational safety and linking to larger laboratory IS, and a brief summary of design science research and it’s methodology were presented. The study described the context of the software development, including the Process Metallurgy Group in the University of Oulu; and pyrolysis and coking processes. The design and the development processes of the PYROLYSIS software were described, as was the evaluation of the software. A model of hardware virtualization, application-device communication and the UI design were presented. Finally, a tentative model for remote alert system via SMS was presented.
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Chiang, Yen-Hsi. "Advising module: Graduate application system for the Computer Science Graduate Program." CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2725.

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The Advising Module: Graduate Application System is a Web-based application system that provides quality advice on coursework for prospective as well as continuing graduate students. It also serves as an improved tracking system for the graduate coordinator. Authorized parties may obtain access to status evaluations, master's options, and permitted course waivers, course listings, personal data, various advisement forms, application usage statistics, and automatic data updating process reports.
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Rajabi, Zeyad. "BIAS : bioinformatics integrated application software and discovering relationships between transcription factors." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=81427.

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In the first part of this thesis, we present a new development platform especially tailored to Bioinformatics research and software development called Bias (Bioinformatics Integrated Application Software) designed to provide the tools necessary for carrying out integrative Bioinformatics research. Bias follows an object-relational strategy for providing persistent objects, allows third-party tools to be easily incorporated within the system, and it supports standards and data-exchange protocols common to Bioinformatics. The second part of this thesis is on the design and implementation of modules and libraries within Bias related to transcription factors. We present a module in Bias that focuses on discovering competitive relationships between mouse and yeast transcription factors. By competitive relationships we mean the competitive binding of two transcription factors for a given binding site. We also present a method that divides a transcription factor's set of binding sites into two or more different sets when constructing PSSMs.
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Siaca, Enrique R. (Enrique Rene). "Development and implementation of a flexible reporting software application." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/38012.

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Saraf, Nikita Sandip. "Leveraging Commercial and Open Source Software to Process and Visualize Advanced 3D Models on a Web-Based Software Platform." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1613748656629076.

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Ewing, John M. "Autonomic Performance Optimization with Application to Self-Architecting Software Systems." Thesis, George Mason University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3706982.

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Service Oriented Architectures (SOA) are an emerging software engineering discipline that builds software systems and applications by connecting and integrating well-defined, distributed, reusable software service instances. SOA can speed development time and reduce costs by encouraging reuse, but this new service paradigm presents significant challenges. Many SOA applications are dependent upon service instances maintained by vendors and/or separate organizations. Applications and composed services using disparate providers typically demonstrate limited autonomy with contemporary SOA approaches. Availability may also suffer with the proliferation of possible points of failure—restoration of functionality often depends upon intervention by human administrators.

Autonomic computing is a set of technologies that enables self-management of computer systems. When applied to SOA systems, autonomic computing can provide automatic detection of faults and take restorative action. Additionally, autonomic computing techniques possess optimization capabilities that can leverage the features of SOA (e.g., loose coupling) to enable peak performance in the SOA system's operation. This dissertation demonstrates that autonomic computing techniques can help SOA systems maintain high levels of usefulness and usability.

This dissertation presents a centralized autonomic controller framework to manage SOA systems in dynamic service environments. The centralized autonomic controller framework can be enhanced through a second meta-optimization framework that automates the selection of optimization algorithms used in the autonomic controller. A third framework for autonomic meta-controllers can study, learn, adjust, and improve the optimization procedures of the autonomic controller at run-time. Within this framework, two different types of meta-controllers were developed. The Overall Best meta-controller tracks overall performance of different optimization procedures. Context Best meta-controllers attempt to determine the best optimization procedure for the current optimization problem. Three separate Context Best meta-controllers were implemented using different machine learning techniques: 1) K-Nearest Neighbor (KNN MC), 2) Support Vector Machines (SVM) trained offline (Offline SVM), and 3) SVM trained online (Online SVM).

A detailed set of experiments demonstrated the effectiveness and scalability of the approaches. Autonomic controllers of SOA systems successfully maintained performance on systems with 15, 25, 40, and 65 components. The Overall Best meta-controller successfully identified the best optimization technique and provided excellent performance at all levels of scale. Among the Context Best meta-controllers, the Online SVM meta-controller was tested on the 40 component system and performed better than the Overall Best meta-controller at a 95% confidence level. Evidence indicates that the Online SVM was successfully learning which optimization procedures were best applied to encountered optimization problems. The KNN MC and Offline SVM were less successful. The KNN MC struggled because the KNN algorithm does not account for the asymmetric cost of prediction errors. The Offline SVM was unable to predict the correct optimization procedure with sufficient accuracy—this was likely due to the challenge of building a relevant offline training set. The meta-optimization framework, which was tested on the 65 component system, successfully improved the optimization techniques used by the autonomic controller.

The meta-optimization and meta-controller frameworks described in this dissertation have broad applicability in autonomic computing and related fields. This dissertation also details a technique for measuring the overlap of two populations of points, establishes an approach for using penalty weights to address one-sided overfitting by SVM on asymmetric data sets, and develops a set of high performance data structure and heuristic search templates for C++.

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Duvall, Paul. "Using an object-oriented approach to develop a software application." [Denver, Colo.] : Regis University, 2006. http://165.236.235.140/lib/PDuvall2006.pdf.

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Kannikanti, Rajesh. "An android application for the USDA structural design software." Kansas State University, 2013. http://hdl.handle.net/2097/15977.

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Master of Science
Department of Computing and Information Sciences
Mitchell L. Neilsen
People are more inclined to use tablets instead of other computing devices due to their portability and ease of use. A number of desktop applications are now becoming available as tablet applications, with increasing demand in the market. Android is one of the largest and most popular open source platforms that offer developers complete access to framework APIs in order to develop innovative tablet applications. The objective of this project is to develop an Android application for the U.S. Department of Agriculture (USDA) Structural Design Software. The GUI for this software is developed to run on tablet devices powered by Android platform. The main features provided by the User Interface include: • Allowing the input to be saved in ASCII text format and displaying the simulation results in PDF format • Allowing the user to select the type of project or view help contents for the projects • Allowing the user to build the simulation for the selected type of project • Allowing the user to send the simulation results to an e-mail The backend for this software is supposed to replace the old FORTRAN source files with Java source files. FORTRAN to Java translation is performed using the FORTRAN to Java (F2J) translator. F2J is intended to translate old FORTRAN math libraries, but was not completely successful in translating these FORTRAN programs. To accomplish successful translation, some features (such as Common Blocks, IO operations) were removed from the FORTRAN source files before translation. After successful translation, the removed features were added again to the translated Java source files. The simulation results provided by the software are useful to design engineers to develop new structural designs.
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Books on the topic "Science Application software"

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Miles, Susan Goodrich. Library application software. Westport, CT: Meckler Publishing, 1986.

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Segura, Jason M., and Albert C. Reiter. Expert system software: Engineering, advantages, and application. Hauppauge, N.Y: Nova Science Publisher's, Inc., 2010.

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Xin, Chen. Developing application frameworks in .NET. Berkeley, CA: Apress, 2004.

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Pauline, Wilcox, ed. Applying UML: Advanced application. Oxford: Elsevier Butterworth-Heinemann, 2004.

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CUDA application design and development. Waltham, MA: Morgan Kaufmann, 2012.

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Application development using object vision. Danvers, Mass: Boyd & Fraser Pub. Co., 1994.

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Application programming and file processing in COBOL: Concepts, techniques, and applications. Lexington, Mass: D.C. Heath, 1992.

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Jablonski, Stefan. Guide to Web Application and Platform Architectures. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004.

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Distributed objects: Methodologies for customizing systems software. Los Alamitos, Calif: IEEE Computer Society Press, 1996.

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Umar, Amjad. Application (re)engineering: Building Web-based applications and dealing with legacies. Upper Saddle River, N.J: Prentice Hall PTR, 1997.

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Book chapters on the topic "Science Application software"

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Weik, Martin H. "application software." In Computer Science and Communications Dictionary, 59. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_772.

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Millington, Donald, Edwin Gray, and Iain M. Tulloch. "Application-Oriented Tools for Software Development." In Systems Science, 361–66. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2862-3_65.

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Howe, Jeffrey, Scott B. Baden, Tamara Grimmett, and Keiko Nomura. "Modernization of legacy application software." In Lecture Notes in Computer Science, 255–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0095344.

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Davidsson, Nicolai, Andre Pawlowski, and Thorsten Holz. "Towards Automated Application-Specific Software Stacks." In Lecture Notes in Computer Science, 88–109. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29962-0_5.

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Véras, Paulo C., Emilia Villani, Ana Maria Ambrósio, Rodrigo P. Pontes, Marco Vieira, and Henrique Madeira. "Benchmarking Software Requirements Documentation for Space Application." In Lecture Notes in Computer Science, 112–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15651-9_9.

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Desnos, Anthony, and Robert Erra. "Descriptional Entropy: Application to Security Software Analysis." In Lecture Notes in Computer Science, 225–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38227-7_25.

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Burkert, Christian, and Hannes Federrath. "Towards Minimising Timestamp Usage In Application Software." In Lecture Notes in Computer Science, 138–55. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31500-9_9.

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Gupta, Karan, and Anita Goel. "Framework for Blog Software in Web Application." In Communications in Computer and Information Science, 187–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36321-4_17.

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Peng, Liangyu, Lei Bao, and Manchi Huang. "Application of Matlab/Simulink Software in Physics." In Communications in Computer and Information Science, 140–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25002-6_21.

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Tokuno, Koichi, and Shigeru Yamada. "Application of Systemability to Software Reliability Evaluation." In Communications in Computer and Information Science, 514–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-27207-3_56.

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Conference papers on the topic "Science Application software"

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Huang Chang-feng, He Lun-zhi, and Han Zhao-xiu. "The application of Mathematical software." In 2010 2nd International Conference on Information Science and Engineering (ICISE). IEEE, 2010. http://dx.doi.org/10.1109/icise.2010.5689666.

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Ullah, Saif, Muhammad Asif, Shahbaz Ahmad, Ulfat Imdad, and Osama Sohaib. "Application of Data Science for Controlling Energy Crises." In ICSCA '19: 2019 8th International Conference on Software and Computer Applications. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3316615.3316616.

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Tianhai, Zhao. "The Key of Application Software Service in Science Cloud Computing." In 2021 IEEE 6th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA). IEEE, 2021. http://dx.doi.org/10.1109/icccbda51879.2021.9442545.

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Zeng, Fuping, and Minyan Lu. "Application research of software reliability testing." In 2012 IEEE International Conference on Computer Science and Automation Engineering (CSAE). IEEE, 2012. http://dx.doi.org/10.1109/csae.2012.6272842.

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Gupta, Karan, and Anita Goel. "Framework for Tagging Software in Web Application." In Third International Conference on Computer Science & Information Technology. Academy & Industry Research Collaboration Center (AIRCC), 2013. http://dx.doi.org/10.5121/csit.2013.3606.

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Leelaphattarakij, Anugoon, and Nakornthip Prompoon. "Ranking application software retrieval results using application attributes and context." In 2012 International Joint Conference on Computer Science and Software Engineering (JCSSE). IEEE, 2012. http://dx.doi.org/10.1109/jcsse.2012.6261957.

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Yi Ding, Yongmin Hang, Gang Wan, and Shuiyan He. "Application of software visualization in programming teaching." In 2014 9th International Conference on Computer Science & Education (ICCSE). IEEE, 2014. http://dx.doi.org/10.1109/iccse.2014.6926573.

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Wu, Yumei, and Zhengwei Yu. "Study of Software Reliability Test Application Framework." In 2010 International Conference of Information Science and Management Engineering. IEEE, 2010. http://dx.doi.org/10.1109/isme.2010.203.

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Workineh, Mesfin, Nuno M. Garcia, and Dida Midekso. "Cloud Suitability Assessment Method for Application Software." In 7th International Conference on Cloud Computing and Services Science. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006365206260631.

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Guo, Xiaodong, and Li Meng. "Organization Application Oriented Software Process Measurement Model." In 2008 International Symposium on Computer Science and Computational Technology. IEEE, 2008. http://dx.doi.org/10.1109/iscsct.2008.280.

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Reports on the topic "Science Application software"

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Chin, G. VISTA (Vertical Integration of Science, Technology, and Applications) user interface software study. Office of Scientific and Technical Information (OSTI), April 1990. http://dx.doi.org/10.2172/7159661.

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Cramer, Christopher J. Scientific Computation Application Partnerships in Materials and Chemical Sciences, Charge Transfer and Charge Transport in Photoactivated Systems, Developing Electron-Correlated Methods for Excited State Structure and Dynamics in the NWChem Software Suite. Office of Scientific and Technical Information (OSTI), November 2017. http://dx.doi.org/10.2172/1408275.

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