Cunzhi Zhang
Materials Chemistry · 2021
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 30 citations into it
Whom Cunzhi Zhang trusts overall
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Papers from Cunzhi Zhang's perspective
Ordered by how strongly the researchers Cunzhi Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Generalized neural-network representation of high-dimensional potential-energy surfaces.
- Fast parallel algorithms for short-range molecular dynamics
- On representing chemical environments
- Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials
- Perspective: Machine learning potentials for atomistic simulations.
- Natural Evolution Strategies
- DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics (Computer Physics Communications)
- QUANTUM ESPRESSO: a modular and open-source software project for quantum simulations of materials (Journal of Physics: Condensed Matter)
- The MLIP package: moment tensor potentials with MPI and active learning (Machine Learning: Science and Technology)
- Direct calculation of modal contributions to thermal conductivity via Green–Kubo modal analysis