Zezhu Zeng

Materials Chemistry · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 70 citations into it

Whom Zezhu Zeng trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. J. Behler
2. S. Plimpton
3. Yi Xia
4. A. P. Bart'ok
5. Wei-Ling Lv

Papers from Zezhu Zeng's perspective

Ordered by how strongly the researchers Zezhu Zeng trusts endorse each paper. Same corpus, a different order for every researcher.

1. On representing chemical environments
2. Fast parallel algorithms for short-range molecular dynamics
3. Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials
4. Natural Evolution Strategies
5. DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics (Computer Physics Communications)
6. QUANTUM ESPRESSO: a modular and open-source software project for quantum simulations of materials (Journal of Physics: Condensed Matter)
7. Direct calculation of modal contributions to thermal conductivity via Green–Kubo modal analysis
8. The Hiphive Package for the Extraction of High‐Order Force Constants by Machine Learning (Advanced Theory and Simulations)
9. Machine learning for interatomic potential models. (Journal of Chemical Physics)
10. Revisiting lattice thermal transport in PbTe: The crucial role of quartic anharmonicity (Applied Physics Letters)

Their papers

• GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations. (2022) — 395 citations
• Neuroevolution machine learning potentials: Combining high accuracy and low cost in atomistic simulations and application to heat transport (2021) — 306 citations