Ferenc Karsai

Materials Chemistry · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 38 citations into it; #8,118 of 11,513 by trust here, #9,513 by citations

Whom Ferenc Karsai trusts overall

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

1. Radford M. Neal
2. A. P. Bart'ok
3. Michele Parrinello

Who trusts Ferenc Karsai overall

1. Yuri Mishin
2. Ivan S. Novikov

Papers from Ferenc Karsai's perspective

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

1. Pattern Recognition and Machine Learning
2. Unified theory of thermal transport in crystals and glasses (Nature Physics)
3. The Haar integral
4. Generalized neural-network representation of high-dimensional potential-energy surfaces.
5. Comparing molecules and solids across structural and alchemical space.
6. First principles phonon calculations in materials science
7. Machine learning based interatomic potential for amorphous carbon
8. Fast parallel algorithms for short-range molecular dynamics
9. Moment Tensor Potentials: A Class of Systematically Improvable Interatomic Potentials
10. High-dimensional neural network potentials for metal surfaces: A prototype study for copper

Their papers

• On-the-fly machine learning force field generation: Application to melting points (2019) — 386 citations
• Phase Transitions of Hybrid Perovskites Simulated by Machine-Learning Force Fields Trained on the Fly with Bayesian Inference. (2019) — 335 citations
• Thermal transport and phase transitions of zirconia by on-the-fly machine-learned interatomic potentials (2021) — 134 citations