Capturing Local Temperature Evolution during Additive Manufacturing through Fourier Neural Operators. - Jiangce Chen; Wenzhuo Xu; Martha Baldwin; Björn Nijhuis; Ton van den Boogaard; Noelia Grande Gutiérrez; Sneha Prabha Narra; Christopher McComb (CoRR, 2023)

Data Scoping: Effectively Learning the Evolution of Generic Transport PDEs. - Jiangce Chen; Wenzhuo Xu; Zeda Xu; Noelia Grande Gutiérrez; Sneha Prabha Narra; Christopher McComb (CoRR, 2024)

ADDOPT: An Additive Manufacturing Optimal Control Framework Demonstrated in Minimizing Layer-Level Thermal Variance in Electron Beam Powder Bed Fusion. - Mikhail Khrenov; William Frieden Templeton; Sneha Prabha Narra (CoRR, 2024)

Accelerating Thermal Simulations in Additive Manufacturing by Training Physics-Informed Neural Networks With Randomly Synthesized Data. - Jiangce Chen; Justin Pierce; Glen Williams; Timothy W. Simpson; Nicholas A. Meisel; Sneha Prabha Narra; Christopher McComb (J. Comput. Inf. Sci. Eng., 2024)

Trajectory Optimization for Spatial Microstructure Control in Electron Beam Metal Additive Manufacturing. - Mikhail Khrenov; Moon Tan; Lauren Fitzwater; Michelle Hobdari; Sneha Prabha Narra (ACC, 2025)

Enforcing the principle of locality for physical simulations with neural operators. - Jiangce Chen; Wenzhuo Xu; Zeda Xu; Noelia Grande Gutiérrez; Sneha Prabha Narra; Christopher McComb (J. Comput. Phys., 2025)