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24 Feb 2026
SERC
Institute of Materials Research and Engineering
Anomalyspy: A Generative Defect Localization in Semiconductor Packages, with X-Ray Microscopy
(Pending publish)
Riko I Made,
Pawan Kumar,
Pablo Quijano Velasco,
Ng Chee Koon,
Leong Chang Jie
2025 IEEE 27th Electronics Packaging Technology Conference (EPTC)
1 Feb 2026
SERC
Institute for Infocomm Research
ThinkEval: Practical Evaluation of Knowledge Leakage in LLM Editing using Thought-based Knowledge Graphs
Manit Baser,
Dinil Mon Divakaran,
Mohan Gurusamy
Transactions on Machine Learning Research
19 Dec 2025
SERC
Institute of Materials Research and Engineering
Machine learning-accelerated screening of all-inorganic perovskites for tandem solar cells
Chong Guo,
Kun Guo,
Ziliang Deng,
Huacheng Zhang,
Kang Li,
Zhiyong Liu,
Bing Xie,
Pu Mao,
Chee Kiang Ivan Tan,
Kui Yao,
Francis Eng Hock Tay
Materials Today Energy
16 Dec 2025
SERC
Institute of High Performance Computing
Discovery of Effective Halide Solid Electrolytes for Solid-State Rechargeable Batteries via Machine Learning and DFT Calculations
Li Yan Anthony Choong,
Zhong Chen,
Man-Fai Ng
ACS Applied Energy Materials
22 Sep 2025
SERC
Institute of Sustainability for Chemicals, Energy and Environment
Influence of Processing and Stabilizer Selection on Microstructure, Stability and Rheology of Emulsion-Based Semisolid Formulations
Ruochen Yang,
Xin Yi Tee,
Sendhil Kumar Poornachary,
Elena Simone,
Pui Shan Chow
Pharmaceutics
11 Sep 2025
SERC
Singapore Institute of Manufacturing Technology
Towards intelligent defect detection in metal powder bed fusion: A review of in situ monitoring, data pre-processing, and machine learning
Pan Wang,
Zicheng Wu,
Jason Jyi Sheuan Ten,
Jiazhao Huang,
Mui Ling Sharon Nai
Materials Science and Engineering: R: Reports
12 Jul 2025
SERC
Institute of Materials Research and Engineering
Artificial Intelligence and Generative Models for Materials Discovery: A Review
Riko I Made,
Albertus Denny Handoko
World Scientific Annual Review of Functional Materials
10 Jul 2025
BMRC
Bioinformatics Institute
Epi4Ab: a data-driven prediction model of conformational epitopes for specific antibody VH/VL families and CDRs sequences
Nhan Dinh Tran,
Krithika Subramani,
Chinh Tran-To Su
mAbs
20 Jun 2025
SERC
Institute of Materials Research and Engineering
Prediction of ABX3 Perovskite Formation Energy Using Machine Learning
Ziliang Deng,
Kailing Fang,
Chong Guo,
Zhichao Gong,
Haojie Yue,
Huacheng Zhang,
Kang Li,
Kun Guo,
Zhiyong Liu,
Bing Xie,
Jinshan Lu,
Kui Yao,
Francis Eng Hock Tay
Materials
11 Jun 2025
SERC
Institute for Infocomm Research
FETA: A systematic and efficient approach for feature engineering on anti-static and anti-dynamic malware analysis
Dima Rabadi,
Jia Y. Loo,
Amudha Narayanan,
Yuexuan Wang,
Sin G. Teo,
Tram Truong-Huu
Journal of Information Security and Applications
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