1 citations · 1 across the 6 of their papers we have counts for
6 papers
Steering topology distributions for unified generative design of architected metamaterials
Haolin Li, Yuyang Miao, Menglei Li +9
Architected metamaterials derive their functions from structure, creating vast opportunities to program physical responses through topology design. However, existing design methods…
Discrete Solution Operator Learning for Geometry-Dependent PDEs
Jinshuai Bai, Haolin Li, Zahra Sharif Khodaei +3
Neural operator learning accelerates PDE solution by approximating operators as mappings between continuous function spaces. Yet in many engineering settings, varying geometry indu…
A Grounded Theory of Debugging in Professional Software Engineering Practice
Haolin Li, Michael Coblenz
Debugging is a central yet complex activity in software engineering. Prior studies have documented debugging strategies and tool usage, but little theory explains how experienced d…
Self-consistent clustering analysis for homogenisation of heterogeneous plates
Menglei Li, Haolin Li, Bing Wang
This work introduces a reduced-order model for plate structures with periodic micro-structures by coupling self-consistent clustering analysis (SCA) with the Lippmann-Schwinger equ…
Finite-PINN: A Physics-Informed Neural Network with Finite Geometric Encoding for Solid Mechanics
Haolin Li, Yuyang Miao, Zahra Sharif Khodaei +1
PINN models have demonstrated capabilities in addressing fluid PDE problems, and their potential in solid mechanics is beginning to emerge. This study identifies two key challenges…
GPINN: Physics-informed Neural Network with Graph Embedding
Yuyang Miao, Haolin Li
This work proposes a Physics-informed Neural Network framework with Graph Embedding (GPINN) to perform PINN in graph, i.e. topological space instead of traditional Euclidean space,…