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RESEARCH PAPER · arXiv (Cornell University) · 2020

Machine learning spectral indicators of topology

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

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42 direct citing works

Machine learning spectral indicators of topologyOriginalDirect Prediction of Phonon Density of States With Euclidean Neural Networks26Synchrotron studies of functional interfaces and the state of the art: A perspective7Database of ab initio L-edge X-ray absorption near edge structure51Machine learning on neutron and x-ray scattering and spectroscopies116Artificial intelligence for search and discovery of quantum materials68Data-Efficient Learning of Materials’ Vibrational Properties0Introduction0Machine Learning Spectral Indicators of Topology1Recent advances and applications of deep learning methods in materials science1161

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  1. Direct Prediction of Phonon Density of States With Euclidean Neural Networks

    DSpace@MIT (Massachusetts Institute of Technology) · 2021-01-01

    Zhantao Chen, Nina Andrejevic, Tess Smidt, Zhiwei Ding, Qian Xu, Yen‐Ting Chi, Nguyen, Quynh T, Ahmet Alatas, Jing Kong, Mingda Li

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  2. Synchrotron studies of functional interfaces and the state of the art: A perspective

    Journal of Applied Physics · 2021-06-10

    Xi Yan, Dillon D. Fong, Hua Zhou, Jessica L. McChesney

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  3. Database of ab initio L-edge X-ray absorption near edge structure

    Scientific Data · 2021-06-11

    Yiming Chen, Chi Chen, Chen Zheng, Shyam Dwaraknath, Matthew K. Horton, Jordi Cabana, John J. Rehr, John Vinson, Alan Dozier, Joshua J. Kas, Kristin Aslaug Persson, Shyue Ping Ong

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  4. Machine learning on neutron and x-ray scattering and spectroscopies

    Chemical Physics Reviews · 2021-07-08

    Zhantao Chen, Nina Andrejevic, Nathan C. Drucker, Thanh Nguyen, Rui Patrick Xian, Tess Smidt, Yao Wang, Ralph Ernstorfer, D. M. Tennant, Maria K. Y. Chan, Mingda Li

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  5. Artificial intelligence for search and discovery of quantum materials

    Communications Materials · 2021-10-13

    Valentin Stanev, Kamal Kumar Choudhary, Aaron Gilad Kusne, Johnpierre Paglione, Ichiro Takeuchi

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  6. Data-Efficient Learning of Materials’ Vibrational Properties

    Springer theses · 2022-01-01

    Nina Andrejevic

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  7. Introduction

    Springer theses · 2022-01-01

    Nina Andrejevic

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  8. Machine Learning Spectral Indicators of Topology

    Springer theses · 2022-01-01

    Nina Andrejevic

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  9. Recent advances and applications of deep learning methods in materials science

    npj Computational Materials · 2022-04-05

    Kamal Kumar Choudhary, Brian DeCost, Chi Chen, Anubhav Jain, Francesca Tavazza, Ryan Cohn, Cheol Woo Park, Alok Choudhary, Ankit Agrawal, Simon J. L. Billinge, Elizabeth A. Holm, Shyue Ping Ong, Chris M. Wolverton

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