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arXiv Open Access 2024

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

Austin Cheng Cher Tian Ser Marta Skreta Andrés Guzmán-Cordero Luca Thiede +6 lainnya
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Abstrak

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 is still not reaching its full potential or maturity. In this perspective, we first outline current applications across a diversity of problems in chemistry. Then, we discuss how machine learning researchers view and approach problems in the field. Finally, we provide our considerations for maximizing impact when researching machine learning for chemistry.

Topik & Kata Kunci

cs.LG cond-mat.mtrl-sci cs.AI physics.chem-ph

Penulis (11)

A

Austin Cheng

C

Cher Tian Ser

M

Marta Skreta

A

Andrés Guzmán-Cordero

L

Luca Thiede

A

Andreas Burger

A

Abdulrahman Aldossary

S

Shi Xuan Leong

S

Sergio Pablo-García

F

Felix Strieth-Kalthoff

A

Alán Aspuru-Guzik

Format Sitasi

APA MLA BibTeX
Cheng, A., Ser, C.T., Skreta, M., Guzmán-Cordero, A., Thiede, L., Burger, A. et al. (2024). Spiers Memorial Lecture: How to do impactful research in artificial intelligence for chemistry and materials science. https://arxiv.org/abs/2409.10304

Akses Cepat

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Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓