Differentiable Physics-Neural Models enable Learning of Non-Markovian Closures for Accelerated Coarse-Grained Physics Simulations. - Tingkai Xue; Chin Chun Ooi; Zhengwei Ge; Fong Yew Leong; Hongying Li; Chang Wei Kang (CoRR, 2025)

Physics-Informed Uncertainty Enables Reliable AI-driven Design. - Tingkai Xue; Chin Chun Ooi; Yang Jiang; Pham Luu Trung Duong; Pao-Hsiung Chiu; Weijiang Zhao; Nagarajan Raghavan; My Ha Dao (CoRR, 2026)