Yuzhi Zhang
Computer Physics Communications · 2019–2023
A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Yuzhi Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yuzhi Zhang's perspective
Ordered by how strongly the researchers Yuzhi Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Computational Materials Science X
- I and J
- Ab Initio Molecular Dynamics: Basic Theory and Advanced Methods
- Deep Learning
- Generalized neural-network representation of high-dimensional potential-energy surfaces.
- Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
- SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
- On representing chemical environments
- Escaping free-energy minima
- Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics
Their papers
- DeePMD-kit v2: A software package for deep potential models (2023) — 540 citations
- DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models (2019) — 831 citations