Follow
Kobi Felton
Kobi Felton
Verified email at merck.com - Homepage
Title
Cited by
Cited by
Year
Automated microfluidic platform for systematic studies of colloidal perovskite nanocrystals: towards continuous nano-manufacturing
RW Epps, KC Felton, CW Coley, M Abolhasani
Lab on a Chip 17 (23), 4040-4047, 2017
1432017
A brief introduction to chemical reaction optimization
CJ Taylor, A Pomberger, KC Felton, R Grainger, M Barecka, ...
Chemical Reviews 123 (6), 3089-3126, 2023
1252023
Summit: benchmarking machine learning methods for reaction optimisation
KC Felton, JG Rittig, AA Lapkin
Chemistry‐Methods 1 (2), 116-122, 2021
832021
Optimization of formulations using robotic experiments driven by machine learning DoE
L Cao, D Russo, K Felton, D Salley, A Sharma, G Keenan, W Mauer, ...
Cell Reports Physical Science 2 (1), 2021
542021
Accelerated chemical reaction optimization using multi-task learning
CJ Taylor, KC Felton, D Wigh, MI Jeraal, R Grainger, G Chessari, ...
ACS Central Science 9 (5), 957-968, 2023
402023
DeepGamma: A deep learning model for activity coefficient prediction
KC Felton, H Ben-Safar, AA Alexei
1st Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE), 2022
122022
Multi-task Bayesian optimization of chemical reactions
K Felton, D Wigh, A Lapkin
82020
A modular microfluidic technology for systematic studies of colloidal semiconductor nanocrystals
RW Epps, KC Felton, CW Coley, M Abolhasani
JoVE (Journal of Visualized Experiments), e57666, 2018
82018
Multi-objective Bayesian optimisation using q-noisy expected hypervolume improvement (q NEHVI) for the Schotten–Baumann reaction
J Zhang, N Sugisawa, KC Felton, S Fuse, AA Lapkin
Reaction Chemistry & Engineering 9 (3), 706-712, 2024
62024
Gibbs–Duhem-informed neural networks for binary activity coefficient prediction
JG Rittig, KC Felton, AA Lapkin, A Mitsos
Digital Discovery 2 (6), 1752-1767, 2023
62023
ORDerly: Data Sets and Benchmarks for Chemical Reaction Data
DS Wigh, J Arrowsmith, A Pomberger, KC Felton, AA Lapkin
Journal of Chemical Information and Modeling 64 (9), 3790-3798, 2024
42024
ML-SAFT: a machine learning framework for PCP-SAFT parameter prediction
KC Felton, L Raßpe-Lange, JG Rittig, K Leonhard, A Mitsos, ...
Chemical Engineering Journal 492, 151999, 2024
22024
Transfer Learning for Accelerated Process Development
K Felton
University of Cambridge, 2023
22023
Devices and methods of use thereof
M Abolhasani, KC FELTON
US Patent 11,499,948, 2022
2022
High Throughput Screening Platform for Cesium-Lead Perovskite Nanocrystal Synthesis
K Felton, R Epps, C Coley, M Abolhasani
2017 AIChE Annual Meeting, 2017
2017
The system can't perform the operation now. Try again later.
Articles 1–15