Hugh M. Cartwright

Materials Chemistry · 2018

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

Subfields

• Materials Chemistry — 40 citations into it; #9,515 of 11,513 by trust here, #4,939 by citations
• Computational Theory and Mathematics — 18 citations into it; #11,211 of 12,182 by trust here, #1,027 by citations
• Computational Chemistry & Drug Discovery — 16 citations into it

Whom Hugh M. Cartwright trusts overall

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

1. Marwin H. S. Segler

Who trusts Hugh M. Cartwright overall

1. Nicholas J. Schork

Papers from Hugh M. Cartwright's perspective

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

1. Neural Turing Machines
2. Human-level concept learning through probabilistic program induction
3. Convolutional Networks on Graphs for Learning Molecular Fingerprints
4. One-Shot Imitation Learning
5. Kernel Methods for Pattern Analysis
6. Fast and accurate modeling of molecular atomization energies with machine learning.
7. ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost
8. Distilling Free-Form Natural Laws from Experimental Data
9. Neural-Symbolic Machine Learning for Retrosynthesis and Reaction Prediction.
10. Quantum Mechanics of Many-Electron Systems

Their papers

• Machine learning for molecular and materials science (2018) — 3,942 citations