Maximal Disjoint Ball Decompositions for shape modeling and analysis. - Jiangce Chen; Horea T. Ilies (Comput. Aided Des., 2020)

Graph-Based Shape Analysis for Heterogeneous Geometric Datasets: Similarity, Retrieval and Substructure Matching. - Jiangce Chen; Horea T. Ilies; Caiwen Ding (Comput. Aided Des., 2022)

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)

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)

Taming Connectedness in Machine-Learning-Based Topology Optimization with Connectivity Graphs. - MohammadMahdi Behzadi; Jiangce Chen; Horea T. Ilies (Comput. Aided Des., 2024)

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)