Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks. - Raghav Gnanasambandam; Bo Shen 005; Jihoon Chung; Xubo Yue; Zhenyu James Kong (CoRR, 2022)

Self-Scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks. - Raghav Gnanasambandam; Bo Shen 005; Jihoon Chung; Xubo Yue; Zhenyu James Kong (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field Model. - Yutao Du; Qin Li 020; Raghav Gnanasambandam; Mengnan Du; Haimin Wang; Bo Shen (IEEE Big Data, 2024)

Neural Operator for Accelerating Coronal Magnetic Field Model. - Yutao Du; Qin Li; Raghav Gnanasambandam; Mengnan Du; Haimin Wang; Bo Shen 001 (CoRR, 2024)