Ji Wei Yoon
Agency for Science, Technology and Research(SG)Institute for Infocomm Research(SG)
Publications by Year
Research Areas
Machine Learning in Materials Science, Fuel Cells and Related Materials, Traffic control and management, Transportation Planning and Optimization, Traffic Prediction and Management Techniques
Most-Cited Works
- → Significance of activation functions in developing an online classifier for semiconductor defect detection(2022)14 cited
- → Explainable machine learning to enable high-throughput electrical conductivity optimization and discovery of doped conjugated polymers(2024)12 cited
- → Microscopic Statistical Characterisation of the Congested Traffic Flow and Some Salient Empirical Features(2016)4 cited
- → Transfer learning for material parameter extraction from current-voltage characteristics of solar cells(2023)2 cited
- → Self-evolving Autoencoder Embedded Q-Network(2024)
- → SG-NNP: Species-separated Gaussian Neural Network Potential with Linear Elemental Scaling and Optimized Dimensions for Multi-component Materials(2024)
- → Explainable Machine Learning to Enable High-Throughput Electrical Conductivity Optimization of Doped Conjugated Polymers(2023)