Luke Rogers

Materials Chemistry · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 42 citations into it; #5,423 of 11,513 by trust here, #5,575 by citations

Whom Luke Rogers trusts overall

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

1. Connor W. Coley
2. Marwin H. S. Segler
3. Wengong Jin

Who trusts Luke Rogers overall

1. José Jiménez-Luna
2. Rohit Batra
3. Philippe Schwaller
4. Philipp Seidl
5. Francesca Grisoni
6. Igor V. Tetko

Papers from Luke Rogers's perspective

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

1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
2. Weisfeiler-Lehman Graph Kernels
3. Rationalizing Neural Predictions
4. Deriving Neural Architectures from Sequence and Graph Kernels
5. Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network
6. Extended-Connectivity Fingerprints
7. Big Data Meets Quantum Chemistry Approximations: The Δ-Machine Learning Approach.
8. Using Machine Learning To Predict Suitable Conditions for Organic Reactions (ACS Central Science)
9. Organic synthesis provides opportunities to transform drug discovery (Nature Chemistry)
10. Reconfigurable system for automated optimization of diverse chemical reactions (Science)

Their papers

• A graph-convolutional neural network model for the prediction of chemical reactivity (2018) — 515 citations
• A robotic platform for flow synthesis of organic compounds informed by AI planning (2019) — 847 citations
• Computer-Assisted Retrosynthesis Based on Molecular Similarity (2017) — 381 citations
• SCScore: Synthetic Complexity Learned from a Reaction Corpus (2018) — 326 citations