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Publication date Communities Collections Article title Author(s) Journal/Conference
4 Nov 2024 SERC Institute of Materials Research and Engineering Multi-Objective Synthesis Optimization and Kinetics of a Sustainable Terpolymer Jin Da Tan, Andre K.Y. Low, Shannon Thoi Rui Ying, Sze Yu Tan, Wenguang Zhao, Yee-Fun Lim, Qianxiao Li, Saif A. Khan, Balamurugan Ramalingam, Kedar Hippalgaonkar, Digital Discovery
16 Sep 2024 SERC Institute of Materials Research and Engineering Composition driven machine learning for unearthing high-strength lightweight multi-principal element alloys Mengxing Li, Xiu Kun Quek, Hongli Suo, Delvin Wuu, Jing Jun Lee, Wei Hock Teh, Fengxia Wei, Riko I. Made, Dennis Cheng Cheh Tan, Si Rong Ng, Siyuan Wei, Andre Kai Yuan Low, Kedar Hippalgaonkar, Yee-Fun Lim, Pei Wang, Chee Koon Ng Journal of Alloys and Compounds
13 May 2024 SERC Institute of Materials Research & Engineering Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs Andre K. Y. Low, Flore Mekki-Berrada, Abhishek Gupta, Aleksandr Ostudin, Jiaxun Xie, Eléonore Vissol-Gaudin, Yee-Fun Lim, Qianxiao Li, Yew Soon Ong, Saif A. Khan, Kedar Hippalgaonkar npj Computational Materials
26 Dec 2023 SERC Institute of Materials Research and Engineering Towards a greener electrosynthesis: pairing machine learning and 3D printing for rapid optimisation of anodic trifluoromethylation Nipun Kumar Gupta, Yilin Guo, Soon Yee Chang, Jing Lin, Zi Hui Jonathan Khoo, Riko I Made, Zi En Ooi, Carina Yi Jing Lim, Chow Hern Lee, M. Sivapaalan, Yee-Fun Lim, Edwin Khoo, Lu Wen Feng, Yanwei Lum, Albertus D. Handoko RSC Sustainability
21 Aug 2023 SERC Institute of Sustainability for Chemicals, Energy and Environment Machine learning-assisted optimization of multi-metal hydroxide electrocatalysts for overall water splitting Carina Yi Jing Lim, Riko I Made, Zi Hui Jonathan Khoo, Chee Koon Ng, Yang Bai, Jianbiao Wang, Gaoliang Yang, Albertus D. Handoko, Yee-Fun Lim Materials Horizons
24 Jul 2023 SERC Institute of Materials Research & Engineering Optimising Ferroelectric Thin Films with Evolutionary Computation Eléonore Vissol-Gaudin, Yee-Fun Lim, Kedar Hippalgaonkar Proceedings of the Companion Conference on Genetic and Evolutionary Computation
13 Jul 2023 SERC Institute for Infocomm Research Tackling data scarcity with transfer learning: a case study of thickness characterization from optical spectra of perovskite thin films Siyu Isaac Parker Tian, Zekun Ren, Selvaraj Venkataraj, Yuanhang Cheng, Daniil Bash, Felipe Oviedo, J. Senthilnath, Vijila Chellappan, Yee-Fun Lim, Armin G. Aberle, Benjamin P. MacLeod, Fraser G. L. Parlane, Curtis P. Berlinguette, Qianxiao Li, Tonio Buonassisi, Zhe Liu Digital Discovery
11 Jul 2023 SERC Institute of Materials Research and Engineering Transfer Learning of Full Molecular Weight Distributions via High-Throughput Computer-Controlled Polymerization Jin Da Tan, Balamurugan Ramalingam, Swee Liang Wong, Jayce Jian Wei Cheng, Yee-Fun Lim, Vijila Chellappan, Saif A. Khan, Jatin Kumar, Kedar Hippalgaonkar Journal of Chemical Information and Modeling
20 Jan 2023 SERC Institute of Materials Research and Engineering Surface charge as activity descriptors for electrochemical CO2 reduction to multi-carbon products on organic-functionalised Cu Carina Yi Jing Lim, Meltem Yilmaz, Juan Manuel Arce-Ramos, Albertus D. Handoko, Wei Jie Teh, Yuangang Zheng, Zi Hui Jonathan Khoo, Ming Lin, Mark Isaacs, Teck Lip Dexter Tam, Yang Bai, Chee Koon Ng, Boon Siang Yeo, Gopinathan Sankar, Ivan P. Parkin, Kedar Hippalgaonkar, Michael B. Sullivan, Jia Zhang, Yee-Fun Lim Nature Communications
16 Sep 2021 SERC Institute of Materials Research and Engineering Extrapolative Bayesian Optimization with Gaussian Process and Neural Network Ensemble Surrogate Models Yee-Fun Lim, Chee Koon Ng, U.S. Vaitesswar, Kedar Hippalgaonkar Advanced Intelligent Systems