529 citations · 761 across the 5 of their papers we have counts for
5 papers
AI4X Roadmap: Artificial Intelligence for the advancement of scientific pursuit and its future directions
Stephen G. Dale, Nikita Kazeev, Alastair J. A. Price +65
Artificial intelligence and machine learning are reshaping how we approach scientific discovery, not by replacing established methods but by extending what researchers can probe, p…
ChatGPT Chemistry Assistant for Text Mining and Prediction of MOF Synthesis
Zhiling Zheng, Oufan Zhang, Christian Borgs +2
We use prompt engineering to guide ChatGPT in the automation of text mining of metal-organic frameworks (MOFs) synthesis conditions from diverse formats and styles of the scientifi…
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials
Shengchao Liu, Weitao Du, Yanjing Li +10
Artificial intelligence for scientific discovery has recently generated significant interest within the machine learning and scientific communities, particularly in the domains of…
A GPT-4 Reticular Chemist for Guiding MOF Discovery
Zhiling Zheng, Zichao Rong, Nakul Rampal +3
We present a new framework integrating the AI model GPT-4 into the iterative process of reticular chemistry experimentation, leveraging a cooperative workflow of interaction betwee…
Thermal Maps of Gases in Heterogeneous Reactions
Nanette N. Jarenwattananon, Stefan Gloeggler, Trenton Otto +5
Over 85% of all chemical industry products are made using catalysts, with the overwhelming majority of these employing heterogeneous catalysts functioning at the gas-solid interfac…