DNAS Study Group Seminar Series

Date and Time (China standard time): Thursday, Nov 13^rd, 11:30am – 12:30pm

Speaker: Dr. Qingcheng Yang

Location: IB 1010

Abstract :

Interfaces play a defining role in how structures and materials form, bond, and evolve — from particle fusion in sintering and additive manufacturing to coalescence and migration in soft and biological systems. Capturing these processes requires resolving strongly coupled, nonlinear, and multiscale dynamics that link local curvature-driven motion to global shape change.

In this talk, Dr. Yang will introduce a phase-field micromechanics framework that provides a unified description of interfacial evolution in both viscous and solid-state sintering, with applications to layer bonding and densification in additive manufacturing. The governing equations are derived from variational principles of free energy and dissipation and solved using a mixed finite element method, which ensures accurate treatment of diffusion–deformation coupling.

To overcome the high computational cost of long-term simulations, we develop SimGate, a physics-guided data-driven surrogate model trained on high-fidelity phase-field data. SimGate reproduces complex morphological evolution with orders-of-magnitude acceleration, demonstrating how mathematical modeling, numerical simulation, and machine learning together can advance the understanding of complex, interface-driven phenomena across disciplines.

Bio: 

Dr. Yang is currently a full professor at Shanghai Institute of Applied Mathematics and Mechanics, and the Department of Mechanics and Engineering Science, Shanghai University. He is the awardee of the Shanghai Overseas High-Level Talents Program. He obtained his Ph.D. in Mechanical Engineering from the University of Pittsburgh and was a postdoctoral scholar in the Department of Materials Science and Engineering at Penn State University and in the Center for Integrated Structure-Material Modeling& Simulation at Johns Hopkins University.

Dr. Yang’s research spans multiple length scales and integrates mechanics, materials science, and additive manufacturing. His work focuses on advancing the understanding of process-microstructure-property relationships through novel mechanics and materials modeling, as well as computational approaches and machine learning.