Boris Kozinsky

Materials Chemistry · 2006–2022

A researcher in the Science corpus: 14 papers; trusts 27 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 175 citations into it; #10,841 of 11,513 by trust here, #3,987 by citations
• Atomic and Molecular Physics, and Optics — 60 citations into it
• Computational Theory and Mathematics — 51 citations into it
• Molecular Biology — 44 citations into it; #17,642 of 17,773 by trust here, #9,476 by citations
• Computational Chemistry & Drug Discovery — 42 citations into it
• Artificial Intelligence — 36 citations into it; #35,068 of 35,345 by trust here, #13,760 by citations
• Physical and Theoretical Chemistry — 27 citations into it
• AI for Physical Sciences — 24 citations into it

Whom Boris Kozinsky trusts overall

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

1. Richard M. Martin
2. Kristof T. Schütt
3. Ralf Drautz
4. A. P. Bart'ok

Who trusts Boris Kozinsky overall

1. Zhao Wang

Papers from Boris Kozinsky's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Gradient-based learning applied to document recognition
5. Gaussian Error Linear Units (GELUs)
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
9. I and J
10. Long Short-Term Memory

Their papers

• E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials (2021) — 2,192 citations
• A Critical Review of Li/Air Batteries (2011) — 998 citations
• Learning local equivariant representations for large-scale atomistic dynamics (2022) — 820 citations
• NbFeSb-based p-type half-Heuslers for power generation applications (2014) — 166 citations
• AiiDA: Automated Interactive Infrastructure and Database for Computational Science (2015) — 571 citations
• AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance (2020) — 340 citations
• BoltzWann: A code for the evaluation of thermoelectric and electronic transport properties with a maximally-localized Wannier functions basis (2013) — 301 citations
• Identifying Capacity Limitations in the Li/Oxygen Battery Using Experiments and Modeling (2011) — 291 citations
• Effect of Salt Concentration on Ion Clustering and Transport in Polymer Solid Electrolytes: A Molecular Dynamics Study of PEO–LiTFSI (2018) — 253 citations
• The design space of E(3)-equivariant atom-centred interatomic potentials (2022) — 361 citations
• On-the-fly active learning of interpretable Bayesian force fields for atomistic rare events (2019) — 424 citations
• Atomistic Description of Ionic Diffusion in PEO–LiTFSI: Effect of Temperature, Molecular Weight, and Ionic Concentration (2018) — 170 citations
• From order to disorder: The structure of lithium-conducting garnets Li7 − xLa3TaxZr2 − xO12 (x = 0–2) (2012) — 152 citations
• Dielectric properties of carbon nanotubes from first principles (2006) — 193 citations