Ivan S. Novikov

Materials Chemistry · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 41 citations into it
• Computational Theory and Mathematics — 16 citations into it
• Atomic and Molecular Physics, and Optics — 14 citations into it
• Computational Chemistry & Drug Discovery — 12 citations into it
• Physical and Theoretical Chemistry — 11 citations into it

Whom Ivan S. Novikov trusts overall

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

1. A. P. Bart'ok
2. Gábor Csányi
3. S. Plimpton
4. J. Behler
5. Ralf Drautz
6. Evgeny V. Podryabinkin
7. Alexander V. Shapeev
8. Nongnuch Artrith
9. Volker L. Deringer
10. Ryosuke Jinnouchi

Who trusts Ivan S. Novikov overall

1. Bohayra Mortazavi
2. Zheyong Fan

Papers from Ivan S. Novikov's perspective

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

1. Generalized neural-network representation of high-dimensional potential-energy surfaces.
2. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
3. Comparing molecules and solids across structural and alchemical space.
4. High-dimensional neural network potentials for metal surfaces: A prototype study for copper
5. Machine learning based interatomic potential for amorphous carbon
6. Fast and accurate modeling of molecular atomization energies with machine learning.
7. Moment Tensor Potentials: A Class of Systematically Improvable Interatomic Potentials
8. SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
9. Gaussian approximation potentials: the accuracy of quantum mechanics, without the electrons.
10. On representing chemical environments

Their papers

• The MLIP package: moment tensor potentials with MPI and active learning (2020) — 643 citations