Követés
Cher-Tian Ser
Cher-Tian Ser
University of Toronto, Department of Chemistry
E-mail megerősítve itt: mail.utoronto.ca - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Data-driven strategies for accelerated materials design
R Pollice, G dos Passos Gomes, M Aldeghi, RJ Hickman, M Krenn, ...
Accounts of Chemical Research 54 (4), 849-860, 2021
3382021
Autonomous chemical experiments: Challenges and perspectives on establishing a self-driving lab
M Seifrid, R Pollice, A Aguilar-Granda, Z Morgan Chan, K Hotta, CT Ser, ...
Accounts of Chemical Research 55 (17), 2454-2466, 2022
1672022
Prediction of corrosion inhibition efficiency of pyridines and quinolines on an iron surface using machine learning-powered quantitative structure-property relationships
CT Ser, P Žuvela, MW Wong
Applied Surface Science 512, 145612, 2020
1272020
Delocalized, asynchronous, closed-loop discovery of organic laser emitters
F Strieth-Kalthoff, H Hao, V Rathore, J Derasp, T Gaudin, NH Angello, ...
Science 384 (6697), eadk9227, 2024
512024
Iodoimidazolinium-catalyzed reduction of quinoline by Hantzsch ester: Halogen bond or Brønsted acid catalysis
CT Ser, H Yang, MW Wong
The Journal of Organic Chemistry 84 (16), 10338-10348, 2019
302019
Modeling halogen bonding with planewave density functional theory: Accuracy and challenges
SJ Ang, CT Ser, MW Wong
Journal of Computational Chemistry 40 (20), 1829-1835, 2019
102019
Computational Investigations of the Detailed Mechanism of Reverse Intersystem Crossing in Inverted Singlet–Triplet Gap Molecules
D Valverde*, CT Ser*, G Ricci, K Jorner, R Pollice, A Aspuru-Guzik, ...
ACS Applied Materials & Interfaces, 2024
82024
Designing piezoresistive materials from first-principles: Dopant effects on 3C-SiC
CT Ser, AM Mak, T Wejrzanowski, TL Tan
Computational Materials Science 186, 110040, 2021
72021
Efficient evolutionary search over chemical space with large language models
H Wang, M Skreta, CT Ser, W Gao, L Kong, F Strieth-Kalthoff, C Duan, ...
arXiv preprint arXiv:2406.16976, 2024
62024
Reinforcement learning supercharges redox flow batteries
Y Cao, CT Ser, M Skreta, K Jorner, N Kusanda, A Aspuru-Guzik
Nature Machine Intelligence 4 (8), 667-668, 2022
52022
Spiers Memorial Lecture: How to do impactful research in artificial intelligence for chemistry and materials science
AH Cheng, CT Ser, M Skreta, A Guzmán-Cordero, L Thiede, A Burger, ...
Faraday Discussions 256, 10-60, 2025
22025
Uncovering compounds with promising piezoresistive properties via high-throughput first-principles survey
CT Ser, TL Tan
Materials Today Communications 34, 105240, 2023
12023
Bulky phosphine ligands promote palladium-catalyzed protodeboronation
CT Ser, H Hao, S Pablo-García, K Jorner, S Li, R Pollice, A Aspuru-Guzik
2025
From Molecules to Mixtures: Learning Representations of Olfactory Mixture Similarity using Inductive Biases
G Tom, CT Ser, EM Rajaonson, S Lo, HS Park, BK Lee, ...
arXiv preprint arXiv:2501.16271, 2025
2025
How to do impactful research in artificial intelligence for chemistry and materials science
A Cheng, CT Ser, M Skreta, A Guzmán-Cordero, L Thiede, A Burger, ...
arXiv e-prints, arXiv: 2409.10304, 2024
2024
If optimizing for general parameters in chemistry is useful, why is it hardly done?
SP Schmid, EM Rajaonson, CT Ser, M Haddadnia, SX Leong, ...
AI for Accelerated Materials Design-NeurIPS 2024, 0
Project 38: Benchmarking Bayesian Symbolic Regression
CT Ser, S Pablo-Garcia, SX Leong, M Huang, A Wang
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Cikkek 1–17