Pavlo O. Dral

Materials Chemistry · 2014–2020

A researcher in the Science corpus: 4 papers; trusts 30 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 106 citations into it
• Atomic and Molecular Physics, and Optics — 70 citations into it; #901 of 7,135 by trust here, #1,017 by citations
• Computational Theory and Mathematics — 63 citations into it; #1,603 of 12,182 by trust here, #303 by citations
• Computational Chemistry & Drug Discovery — 46 citations into it; #81 of 425 by trust here, #107 by citations
• Molecular Biology — 38 citations into it
• Physical and Theoretical Chemistry — 30 citations into it
• AI for Physical Sciences — 22 citations into it
• Organic Chemistry — 22 citations into it; #83 of 1,495 by trust here, #178 by citations

Whom Pavlo O. Dral trusts overall

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

1. J. Behler
2. Matthias Rupp 
3. Sergei Manzhos
4. R. Ramakrishnan
5. Kristof T. Schütt
6. A. P. Bart'ok
7. Alexandre Tkatchenko
8. von Lilienfeld
9. Tucker Carrington Jr.
10. Katja Hansen

Who trusts Pavlo O. Dral overall

1. Christopher Morris
2. Katsuhiko Ishiguro
3. Minkai Xu
4. Uri Alon
5. Bidisha Samanta
6. Matthew K. Matlock
7. Benjamín Sánchez-Lengeling
8. Tânia F Cova
9. Julia Westermayr
10. Chengxi Zang

Papers from Pavlo O. Dral's perspective

Ordered by how strongly the researchers Pavlo O. Dral 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. Fast and accurate modeling of molecular atomization energies with machine learning.
3. Gradient-based learning applied to document recognition
4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
5. ImageNet classification with deep convolutional neural networks
6. Chemical space
7. Attention is All you Need (Neural Information Processing Systems)
8. The Elements of Statistical Learning
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Quantum chemistry structures and properties of 134 kilo molecules (2014) — 2,384 citations
• Big Data Meets Quantum Chemistry Approximations: The Δ-Machine Learning Approach. (2015) — 794 citations
• Structure-based sampling and self-correcting machine learning for accurate calculations of potential energy surfaces and vibrational levels. (2017) — 129 citations
• Quantum Chemistry in the Age of Machine Learning. (2020) — 338 citations