Iryna Luchak

Materials Chemistry · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 17 citations into it
• Computational Chemistry & Drug Discovery — 11 citations into it

Whom Iryna Luchak trusts overall

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

1. A. P. Bart'ok

Papers from Iryna Luchak's perspective

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

1. Human-level control through deep reinforcement learning
2. Scikit-learn: Machine Learning in Python
3. Fast and accurate modeling of molecular atomization energies with machine learning.
4. Machine learning of accurate energy-conserving molecular force fields
5. Generalized Gradient Approximation Made Simple.
6. Mastering the game of Go with deep neural networks and tree search
7. Understanding Machine-learned Density Functionals
8. Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
9. Comparing molecules and solids across structural and alchemical space.
10. On representing chemical environments

Their papers

• Convolutional neural networks for atomistic systems (2017) — 44 citations