Sergio Pablo‐García

University of Toronto — Canada

Materials Science · Physical Sciences

15h-index1.0kcitations51works18.02yr avg
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Research Topics

Machine Learning in Materials Science(21), Catalysis and Oxidation Reactions(7), Computational Drug Discovery Methods(6), Innovative Microfluidic and Catalytic Techniques Innovation(5), Electrochemical Analysis and Applications(5)

Publications51 total

Bulky Phosphine Ligands Promote Palladium-Catalyzed Protodeboronation
Journal of the American Chemical Society·2025
Adsorption Hysteresis Under Control: Tuning Host—Guest Interactions via a Genetic Algorithm
2025Open Access
Bulky phosphine ligands promote palladium-catalyzed protodeboronation
2025Open Access
MERMaid: Universal multimodal mining of chemical reactions from PDFs using vision-language models
Matter·2025· 5 citedOpen Access
Developing machine learning for heterogeneous catalysis with experimental and computational data
Nature Reviews Chemistry·2025· 22 cited
Bayesian Optimization Hackathon for Chemistry and Materials
2025· 1 citedOpen Access
MERMaid: Universal multimodal mining of chemical reactions from PDFs using vision-language models
2025· 3 citedOpen Access
Machine learning for the experimental and computational development of heterogeneous catalysis
2025Open Access
Bulky phosphine ligands promote palladium-catalyzed protodeboronation
2025· 1 citedOpen Access
Atlas: a brain for self-driving laboratories
Digital Discovery·2025· 18 citedOpen Access
Does one need to polish electrodes in an eight pattern? Automation provides the answer
Digital Discovery·2025· 2 citedOpen Access
Performance Prediction of High‐Entropy Perovskites La <sub>0.8</sub> Sr <sub>0.2</sub> Mn <sub>x</sub> Co <sub>y</sub> Fe <sub>z</sub> O <sub>3</sub> with Automated High‐Throughput Characterization of Combinatorial Libraries and Machine Learning
Advanced Materials·2024· 13 citedOpen Access
An affordable platform for automated synthesis and electrochemical characterization
Device·2024· 11 citedOpen Access
Spiers Memorial Lecture: How to do impactful research in artificial intelligence for chemistry and materials science
Faraday Discussions·2024· 11 citedOpen Access
Author response for "Automated electrosynthesis reaction mining with multimodal large language models (MLLMs)"
2024
Self-Driving Laboratories for Chemistry and Materials Science
Chemical Reviews·2024· 342 citedOpen Access
Bulky phosphine ligands promote palladium-catalysed protodeboronation
2024· 1 citedOpen Access
Automated electrosynthesis reaction mining with multimodal large language models (MLLMs)
2024· 5 citedOpen Access
A Foundational Model for Reaction Networks on Metal Surfaces
2024· 6 citedOpen Access
Self-Driving Laboratories for Chemistry and Materials Science
2024· 6 citedOpen Access
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Frequent Co-authors

Alán Aspuru‐Guzik(29), Han Hao(16), Núria López(16), Shi Xuan Leong(10), Yang Cao(8), Naruki Yoshikawa(8), Gun Deniz Akkoc(8), Gary Tom(7), Ella Miray Rajaonson(7), Felix Strieth‐Kalthoff(7), Javier Pérez‐Ramírez(7), Malcolm Sim(7), Albert Sabadell‐Rendón(7), Rodrigo Garcı́a-Muelas(6), Kjell Jorner(6), Cher Tian Ser(6), Samantha Corapi(5), Santiago Morandi(5), Carlota Bozal‐Ginesta(5), Changhyeok Choi(5)