Kobi Felton

University of Cambridge — United Kingdom

Materials Science · Physical Sciences

10h-index957citations30works9.52yr avg
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Research Topics

Machine Learning in Materials Science(17), Innovative Microfluidic and Catalytic Techniques Innovation(12), Computational Drug Discovery Methods(9), Process Optimization and Integration(4), Quantum Dots Synthesis And Properties(3)

Publications30 total

ML-SAFT: A machine learning framework for PCP-SAFT parameter prediction
Chemical Engineering Journal·2024· 18 citedOpen Access
ORDerly: Data Sets and Benchmarks for Chemical Reaction Data
Journal of Chemical Information and Modeling·2024· 20 citedOpen Access
ORDerly benchmarks of chemical reactions
Figshare·2024Open Access
ORDerly supplementary datasets
Figshare·2024Open Access
Multi-objective Bayesian optimisation using <i>q</i> -noisy expected hypervolume improvement ( <i>q</i> NEHVI) for the Schotten–Baumann reaction
Reaction Chemistry & Engineering·2023· 30 citedOpen Access
Multi-objective Bayesian optimisation using q-Noisy Expected Hypervolume Improvement (qNEHVI) for Schotten-Baumann reaction
2023· 9 citedOpen Access
ORDerly: Datasets and benchmarks for chemical reaction data
2023· 1 citedOpen Access
ORDerly: Datasets and benchmarks for chemical reaction data
2023Open Access
Gibbs-Duhem-Informed Neural Networks for Binary Activity Coefficient Prediction
arXiv (Cornell University)·2023· 1 citedOpen Access
ML-SAFT: A machine learning framework for PCP-SAFT parameter prediction
2023· 6 citedOpen Access
Accelerated Chemical Reaction Optimization Using Multi-Task Learning
ACS Central Science·2023· 95 citedOpen Access
A Brief Introduction to Chemical Reaction Optimization
Chemical Reviews·2023· 370 citedOpen Access
Accelerated Chemical Reaction Optimization using Multi-Task Learning
2023· 7 citedOpen Access
Gibbs–Duhem-informed neural networks for binary activity coefficient prediction
Digital Discovery·2023· 45 citedOpen Access
ORDerly benchmark for condition prediction
Figshare·2023Open Access
ПРОЕКТИРОВАНИЕ КОРПУСОВ И МИКРОСБОРОК ПО ТЕХНОЛОГИИ FO WLP СРЕДСТВАМИ САПР MENTOR GRAPHICS. Часть 2
ELECTRONICS Science Technology Business·2021
ПРОЕКТИРОВАНИЕ КОРПУСОВ И МИКРОСБОРОК ПО ТЕХНОЛОГИИ FO WLP СРЕДСТВАМИ САПР MENTOR GRAPHICS. Часть 1
ELECTRONICS Science Technology Business·2021· 2 cited
Multi-task Bayesian Optimization of Chemical Reactions
2021· 6 citedOpen Access
Summit: Benchmarking Machine Learning Methods for Reaction Optimisation
Chemistry - Methods·2021· 78 citedOpen Access
Optimization of Formulations Using Robotic Experiments Driven by Machine Learning DoE
Cell Reports Physical Science·2021· 71 citedOpen Access
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Frequent Co-authors

Alexei A. Lapkin(23), Daniel Wigh(11), Jan G. Rittig(8), Alexander Pomberger(7), Joe Arrowsmith(5), Alexander Mitsos(4), Connor J. Taylor(3), Rachel Grainger(3), Robert W. Epps(3), Connor W. Coley(3), Milad Abolhasani(3), Д. Вертянов(3), Christopher N. Johnson(2), Mohammed I. Jeraal(2), Gianni Chessari(2), Jiyizhe Zhang(2), Naoto Sugisawa(2), Shinichiro Fuse(2), Kai Leonhard(2), Julian Meyer‐Kirschner(2)