Reliable extrapolation of deep neural operators informed by physics or sparse observations. - Min Zhu; Handi Zhang; Anran Jiao; George Em Karniadakis; Lu Lu 010 (CoRR, 2022)

Deep Learning for Solving and Estimating Dynamic Macro-Finance Models. - Benjamin Fan; Edward Qiao; Anran Jiao; Zhouzhou Gu; Wenhao Li; Lu Lu 010 (CoRR, 2023)

Solving forward and inverse PDE problems on unknown manifolds via physics-informed neural operators. - Anran Jiao; Qile Yan; John Harlim; Lu Lu 010 (CoRR, 2024)

Quantum DeepONet: Neural operators accelerated by quantum computing. - Pengpeng Xiao; Muqing Zheng; Anran Jiao; Xiu Yang; Lu Lu 010 (Quantum, 2025)

COAST: Intelligent Time-Adaptive Neural Operators. - Zhikai Wu; Shiyang Zhang; Sizhuang He; Sifan Wang; Min Zhu; Anran Jiao; Lu Lu; David van Dijk (CoRR, 2025)