A. Singraber
Materials Chemistry · 2016–2019
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 16 citations into it
- Atomic and Molecular Physics, and Optics — 12 citations into it; #5,657 of 7,135 by trust here, #3,907 by citations
- Physical and Theoretical Chemistry — 6 citations into it
- Molecular Biology — 5 citations into it
Whom A. Singraber trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts A. Singraber overall
Papers from A. Singraber's perspective
Ordered by how strongly the researchers A. Singraber trusts endorse each paper. Same corpus, a different order for every researcher.
- Generalized neural-network representation of high-dimensional potential-energy surfaces.
- GROMACS: Fast, flexible, and free
- A consistent and accurate ab initio parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu.
- Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density.
- Water: From Clusters to the Bulk. (Angewandte Chemie)
- Fast parallel algorithms for short-range molecular dynamics
- Density-functional exchange-energy approximation with correct asymptotic behavior.
- Representing potential energy surfaces by high-dimensional neural network potentials
- Comparison of simple potential functions for simulating liquid water
- Machine learning based interatomic potential for amorphous carbon
Their papers
- Library-Based LAMMPS Implementation of High-Dimensional Neural Network Potentials. (2019) — 295 citations
- How van der Waals interactions determine the unique properties of water (2016) — 416 citations