Materials Studio
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This software is used in advanced research of various materials, such as polymers, carbon nanotubes, catalysts, metals, ceramics, and so on, by universities (e.g., North Dakota State University), research centers, and high tech companies.
Materials Studio is a client–server model software package with Microsoft Windows-based PC clients and Windows and Linux-based servers running on PCs, Linux IA-64 workstations (including Silicon Graphics (SGI) Altix) and HP XC clusters.
Software components
- Analytical and Crystallization: to investigate, predict, and modify crystal structure and crystal growth.
- Morphology
- Polymorph Predictor
- Reflex, Reflex Plus, Reflex QPA: to assist the interpretation of diffraction data for determination of crystallic structure, to validate the results of experiment and computation.
- X-Cell: indexing for medium- to high-quality powder diffraction data from X-ray, neutron, and electron radiation sources.
- Quantum and Catalysis
- Adsorption Locator: to find the most stable adsorption sites for various materials, including zeolites, carbon nanotubes, silica gel, and activated carbon
- CASTEP: to predict electronic, optical, and structural properties
- ONETEP: to perform linear-scaling density functional theory simulations
- DMol3: quantum mechanical methods to predict materials properties
- Sorption: to predict fundamental properties, such as sorption isotherms (or loading curves) and Henry's constants
- VAMP: high-speed calculation of a variety of physical and chemical molecular properties, e.g., for quick screening during drug discovery
- QSAR, QSAR Plus: to identify compounds with optimal physicochemical properties.
- Polymers and Classical Simulation: to construct and characterize models of isolated chains or bulk polymers and predict their properties
- Materials Component Collection
- Materials Visualizer
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Basic workflow
- Materials Visualizer is used to construct/import graphical models of materials
- Accurate structure is determined by quantum mechanical, semi-empirical, or classical simulation
- Various required properties may be predicted/analyzed
More in General
EngineeringApplied science and researchTechnologyUse of knowledge for practical goalsElectrical engineeringBranch of engineeringResearch and developmentGeneral term for activities in connection with corporate or governmental innovationCivil engineeringEngineering discipline focused on physical infrastructureProblem solvingProcess of achieving a goal by overcoming obstacles

