Machine learning workflows beyond linear models in low-data regimes DOI Creative Commons
David Dalmau, Matthew S. Sigman, Juan V. Alegre‐Requena

et al.

Chemical Science, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

This work presents automated non-linear workflows for studying problems in low-data regimes alongside traditional linear models.

Language: Английский

Towards the activity of twisted acyclic amides DOI Creative Commons
Michele Tomasini, Lucia Caporaso, Michal Szostak

et al.

RSC Advances, Journal Year: 2025, Volume and Issue: 15(11), P. 8207 - 8212

Published: Jan. 1, 2025

N , -Boc 2 amides have emerged as the most common class of acyclic twisted that been engaged in a range C–N activation and cross-coupling processes ubiquitous amide bonds.

Language: Английский

Citations

0
Data Driven Modeling of Ziegler–Natta Polypropylene Catalysts: Revisiting the Role of the Internal Donor DOI Creative Commons
Felicia Daniela Cannavacciuolo, Laura Falivene, Ziyun Zhang

et al.

ACS Catalysis, Journal Year: 2025, Volume and Issue: unknown, P. 5770 - 5780

Published: March 24, 2025

Language: Английский

Citations

0
NHC-Cracker: A Platform for the In Silico Engineering of N-Heterocyclic Carbenes for Diverse Chemical Applications DOI Creative Commons
Gentoku Takasao, Bholanath Maity, Sayan Dutta

et al.

ACS Catalysis, Journal Year: 2025, Volume and Issue: unknown, P. 5915 - 5927

Published: March 27, 2025

Language: Английский

Citations

0
Machine learning workflows beyond linear models in low-data regimes DOI Creative Commons
David Dalmau, Matthew S. Sigman, Juan V. Alegre‐Requena

et al.

Chemical Science, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

This work presents automated non-linear workflows for studying problems in low-data regimes alongside traditional linear models.

Language: Английский

Citations

0