The paper Heterogeneous peridynamic neural operators: Discover biotissue constitutive law and microstructure from digital image correlation measurements introduces the Heterogeneous Peridynamic Neural Operator (HeteroPNO) approach for data-driven constitutive modeling of heterogeneous anisotropic materials based on digital image correlation (DIC) data. The two-phase learning approach utilizes an nonlocal constitutive law and spatially varying fiber orientation fields...
Phiphi presented her research at the 2025 Koret UC LEADS Symposium hosted at UCLA. Representing the BBDL, she shared her work with peers and faculty from across the UC system. Her presentation reflected strong scientific curiosity and growing expertise in the field. We’re excited to see her continued growth and contributions.
