Structural Genomics Consortium

output

20232026

most citedProbing out-of-distribution generalization in machine learning for materials

63 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

Alán Aspuru-Guzik3 profiles3 · h 19
J. Hattrick-Simpers3 · h 32
Abdulrahman Aldossary2 · h 10
Adji Bousso Dieng2 · h 9
Austin H. Cheng2 · h 5
C. Ser2 · h 9
D. Persaud2 · h 5
Kangming Li2 · h 12
Shi Xuan Leong2 · h 5
Abhijoy Mandal1 · h 3
A. Chemistry1 · h 1
Alex Zhang1 · h 2

collaborating institutions

University of TorontoCA7 papers
Vector InstituteCA5 papers
Princeton UniversityUS2 papers
Schwartz/Reisman Emergency Medicine InstituteCA2 papers
Argonne National LaboratoryUS1 paper
Canadian Institute for Advanced ResearchCA1 paper
Fritz Haber Institute of the Max Planck SocietyDE1 paper
Material Measurement LaboratoryUS1 paper
Nanyang Technological UniversitySG1 paper
National Institute of Standards and TechnologyUS1 paper
Swiss Federal Laboratories for Materials Science and TechnologyCH1 paper
Tinbergen InstituteNL1 paper

Showing 2024 · cs.LGShow all

1 paper · 2 filters

cs.LG2024★ 19 cited

Spiers Memorial Lecture: How to do impactful research in artificial intelligence for chemistry and materials science

Austin Cheng, Cher Tian Ser, Marta Skreta +8

Machine learning has been pervasively touching many fields of science. Chemistry and materials science are no exception. While machine learning has been making a great impact, it i…