Computing organic stereoselectivity - from concepts to quantitative calculations and predictions.

By Q. Peng, F. Duarte, Robert S Paton. 2016

115 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Catalysis, Materials Chemistry, Computational Chemistry & Drug Discovery, AI for Physical Sciences

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Mike Preuss
2. Mark P. Waller
3. Marwin H. S. Segler

In Catalysis

1. Mark P. Waller
2. Marwin H. S. Segler

In Materials Chemistry

1. Mike Preuss
2. Marwin H. S. Segler
3. Mark P. Waller
4. Yuxi Li
5. A. Pais
6. Tânia F Cova
7. Sergey I. Nikolenko
8. Connor W. Coley

In Computational Chemistry & Drug Discovery

1. Mike Preuss
2. Marwin H. S. Segler
3. Mark P. Waller
4. A. Pais
5. Tânia F Cova
6. Connor W. Coley
7. Philippe Schwaller
8. Teodoro Laino

In AI for Physical Sciences

1. Mark P. Waller

Citations in the corpus

• Planning chemical syntheses with deep neural networks and symbolic AI (2017, background): “[49] For the last 60 years, experts have been trying to dictate chemistry’s rules to computers via hand-coded heuristics.”