Machine‐Learning Spectral Indicators of Topology-Reference-Cited by-同舟云学术

Machine‐Learning Spectral Indicators of Topology

Published:2022-10-31 Issue:49 Volume:34 Page:2204113
ISSN:0935-9648
Container-title:Advanced Materials
language:en
Short-container-title:Advanced Materials

Author:

Andrejevic Nina¹²³^ORCID,Andrejevic Jovana⁴⁵^ORCID,Bernevig B. Andrei⁵⁶⁷⁸,Regnault Nicolas⁵⁶,Han Fei¹²⁸⁹,Fabbris Gilberto⁹¹⁰,Nguyen Thanh¹²⁸⁹,Drucker Nathan C.¹²⁴⁵,Rycroft Chris H.⁴⁵¹⁰¹¹¹²^ORCID,Li Mingda¹²⁸⁹^ORCID

Affiliation:

1. Center for Nanoscale Materials Argonne National Laboratory Lemont IL 60439 USA

2. Quantum Measurement Group Massachusetts Institute of Technology Cambridge MA 02139 USA

3. Department of Materials Science and Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA

4. Department of Physics University of Pennsylvania Philadelphia PA 19104 USA

5. John A. Paulson School of Engineering and Applied Sciences Harvard University Cambridge MA 02138 USA

6. Department of Physics Princeton University Princeton NJ 08544 USA

7. Donostia International Physics Center P. Manuel de Lardizabal 4 Donostia‐San Sebastian 20018 Spain

8. IKERBASQUE Basque Foundation for Science Plaza Euskadi 5 Bilbao 48009 Spain

9. Department of Nuclear Science and Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA

10. Advanced Photon Source Argonne National Laboratory Lemont IL 60439 USA

11. Department of Mathematics University of Wisconsin–Madison Madison WI 53706 USA

12. Computational Research Division Lawrence Berkeley Laboratory Berkeley CA 94720 USA

Funder

National Science Foundation

Basic Energy Sciences

Office of Science

Advanced Scientific Computing Research

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adma.202204113

Reference86 articles.

1. Colloquium: Topological insulators

2. Topological insulators and superconductors

3. Topological materials

4. Colloquium: Topological band theory

5. Topological Materials: Weyl Semimetals

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Self-supervised generative models for crystal structures;iScience;2024-09

2. Topological thermal transport;Nature Reviews Physics;2024-08-15

3. Machine-learning strategies for the accurate and efficient analysis of x-ray spectroscopy;Machine Learning: Science and Technology;2024-06-01

4. Synchrotron radiation data-driven artificial intelligence approaches in materials discovery;Artificial Intelligence Chemistry;2024-06

5. Exploring the Molecular Terrain: A Survey of Analytical Methods for Biological Network Analysis;Symmetry;2024-04-10