Showing 161 - 180 results of 269 for search '"computational materials science"', query time: 1.38s Refine Results
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    Meta-GGA SCAN Functional in the Prediction of Ground State Properties of Magnetic Materials: Review of the Current State by Vladimir Sokolovskiy, Danil Baigutlin, Olga Miroshkina, Vasiliy Buchelnikov

    Published 2023-04-01
    “…The advantages of SCAN and points to be enhanced are discussed in this review with the aim of reflecting the modern state of computational materials science.…”
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    Article
  4. 164

    Data Centric Design: A New Approach to Design of Microstructural Material Systems by Wei Chen, Akshay Iyer, Ramin Bostanabad

    Published 2022-03-01
    “…Building processing, structure, and property (PSP) relations for computational materials design is at the heart of the Materials Genome Initiative in the era of high-throughput computational materials science. Recent technological advancements in data acquisition and storage, microstructure characterization and reconstruction (MCR), machine learning (ML), materials modeling and simulation, data processing, manufacturing, and experimentation have significantly advanced researchers’ abilities in building PSP relations and inverse material design. …”
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    Influential Yield Strength of Steel Materials with Return Random Walk Gravity Centrality by Rocío Rodríguez, Manuel Curado, Francy D. Rodríguez, José F. Vicent

    Published 2024-01-01
    “…Advances in complex networks and improved data generation are very important for the growth of computational materials science. The search for patterns of behavior of the elements that make up steels through complex networks can be very useful in understanding their mechanical properties. …”
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    Construction of ground-state preserving sparse lattice models for predictive materials simulations by Wenxuan Huang, Alexander Urban, Ziqin Rong, Zhiwei Ding, Chuan Luo, Gerbrand Ceder

    Published 2017-08-01
    “…First-principles density functional theory calculations are one of the most commonly used tools for computational materials science research but they cannot easily be applied to large structures that contain many thousands of atoms. …”
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    Article
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    Sparse Grid Adaptive Interpolation in Problems of Modeling Dynamic Systems with Interval Parameters by Alexander Yu Morozov, Andrey A. Zhuravlev, Dmitry L. Reviznikov

    Published 2021-02-01
    “…The efficiency of the proposed approach has been demonstrated on representative interval problems of nonlinear dynamics and computational materials science.…”
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    Fully transferable interatomic potentials for large-scale computer simulations of simple metal oxides: Application to MgO by Aguado, A, Madden, P

    Published 2004
    “…Given the computational cost associated with ab initio electronic structure codes, computational materials science and geoscience would greatly benefit from the availability of transferable, parameterized interatomic potentials. …”
    Journal article
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    Quantum computing enhanced computational catalysis by Vera von Burg, Guang Hao Low, Thomas Häner, Damian S. Steiger, Markus Reiher, Martin Roetteler, Matthias Troyer

    Published 2021-07-01
    “…We address the requirements for future quantum hardware in order to make a universal quantum computer a successful and reliable tool for quantum computing enhanced computational materials science and chemistry, and identify open questions for further research.…”
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    Mesoscale modelling of selective laser melting: Thermal fluid dynamics and microstructural evolution by Panwisawas, C, Qiu, C, Anderson, M, Sovani, Y, Turner, R, Attallah, M, Brooks, J, Basoalto, H

    Published 2016
    “…In this paper, an integrated computational materials science approach for selective laser melting (SLM) at the mesoscale is presented. …”
    Journal article
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    Accelerating materials discovery: combinatorial synthesis, high-throughput characterization, and computational advances by Khurram Shahzad, Andrei Ionut Mardare, Achim Walter Hassel

    Published 2024-12-01
    “…Concurrently, recent advancements in computational materials science have notably expedited the discovery process by enabling high-throughput calculations and simulations of potential materials systems. …”
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