15 citations · 21 across the 4 of their papers we have counts for
5 papers
AI-driven Bayesian inference of statistical microstructure descriptors from finite-frequency waves
Wouter Klessens, Ivan Vasconcelos, Yang Jiao
The ability to image materials at the microscale from long-wavelength wave data is a major challenge to the geophysical, engineering and medical fields. Here, we present a framewor…
Information Content of Hierarchical n-Point Polytope Functions for Quantifying and Reconstructing Disordered Systems
Pei-En Chen, Wenxiang Xu, Yi Ren +1
Disordered systems are ubiquitous in physical, biological and material sciences. Examples include liquid and glassy states of condensed matter, colloids, granular materials, porous…
Modeling Multi-Cellular Dynamics Regulated by ECM-Mediated Mechanical Communication via Active Particles with Polarized Effective Attraction
Yu Zheng, Qihui Fan, Christopher Eddy +4
Collective cell migration is crucial to many physiological and pathological processes. Recent experimental studies have indicated that the active traction forces generated by migra…
Microstructure Design of Low-Melting-Point Alloy (LMPA)/ Polymer Composites for Dynamic Dry Adhesion Tuning in Soft Gripping
Yaopengxiao Xu, Pei-En Chen, Wenxiang Xu +3
Tunable dry adhesion is a crucial mechanism in compliant manipulation. The gripping force, mainly originated from the van der Waals force between the adhesive composite and the obj…
Improving Direct Physical Properties Prediction of Heterogeneous Materials from Imaging Data via Convolutional Neural Network and a Morphology-Aware Generative Model
Ruijin Cang, Hechao Li, Hope Yao +2
Direct prediction of material properties from microstructures through statistical models has shown to be a potential approach to accelerating computational material design with lar…