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RESEARCH PAPER · Synthesis lectures on materials and optics · 2020

Data-Based Methods for Materials Design and Discovery: Basic Ideas and General Methods

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10 direct citing papers in this saved network. Explore the next layer with second-order citations.

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Data-Based Methods for Materials Design and Discovery: Basic Ideas and General MethodsOriginalResearch on the Construction of the General Control Platform for Yunnan Rare and Precious Metal Materials Genetic Engineering2Modeling, simulation and machine learning for rapid process control of multiphase flowing foods29Technique of Material Design for Patch Antenna Substrate Using Frequency Dependent Material Setup6Machine Learning Accelerated Insights of Perovskite Materials3A Machine Learning Approach for the Prediction of Formability and Thermodynamic Stability of Single and Double Perovskite Oxides148Machine learning for materials design and discovery128Machine learning in materials science: From explainable predictions to autonomous design280Machine learning elastic constants of multi-component alloys68Tool path optimization of selective laser sintering processes using deep learning41Machine learning--based discovery of novel oxide and halide perovskites for energy storage9

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  1. Research on the Construction of the General Control Platform for Yunnan Rare and Precious Metal Materials Genetic Engineering

    Journal of Micromechanics and Molecular Physics · 2020-06-01

    Zhuo Wang, Jianglin Wei, Jing Feng, Yingxu Wang, Yumin Lai, Shu‐Qian Hou

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  2. Modeling, simulation and machine learning for rapid process control of multiphase flowing foods

    Computer Methods in Applied Mechanics and Engineering · 2020-08-07

    D. H. Kim, Tarek Ismail Zohdi, R. Paul Singh

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  3. Technique of Material Design for Patch Antenna Substrate Using Frequency Dependent Material Setup

    IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT) · 2020-10-02

    Amish Kumar Jha, Preety D. Swami

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  4. Machine Learning Accelerated Insights of Perovskite Materials

    Springer series in materials science · 2021-01-01

    Shuaihua Lu, Yilei Wu, Ming‐Gang Ju, Jinlan Wang

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  5. A Machine Learning Approach for the Prediction of Formability and Thermodynamic Stability of Single and Double Perovskite Oxides

    Chemistry of Materials · 2021-01-15

    Anjana Talapatra, Blas Pedro Uberuaga, Christopher R. Stanek, Ghanshyam Pilania

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  6. Machine learning for materials design and discovery

    Journal of Applied Physics · 2021-02-18

    Rama Krishnan Vasudevan, Ghanshyam Pilania, Prasanna V. Balachandran

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  7. Machine learning in materials science: From explainable predictions to autonomous design

    Computational Materials Science · 2021-03-10

    Ghanshyam Pilania

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  8. Machine learning elastic constants of multi-component alloys

    Computational Materials Science · 2021-07-08

    Vivek Revi, Saurabh Kasodariya, Anjana Talapatra, Ghanshyam Pilania, Alankar Alankar

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  9. Tool path optimization of selective laser sintering processes using deep learning

    Computational Mechanics · 2021-08-18

    D. H. Kim, Tarek Ismail Zohdi

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  10. Machine learning--based discovery of novel oxide and halide perovskites for energy storage

    Journal of Alloys and Compounds · 2024-11-12

    Neelesh Gupta, Ravi Kumar, Alankar Alankar

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