34 citations · 74 across the 6 of their papers we have counts for
6 papers
Stochastic Constitutive Model of Isotropic Thin Fiber Networks Based on Stochastic Volume Elements
Rami Mansour, Artem Kulachenko, Wei Chen +1
Thin fiber networks are widely represented in nature and can be found in man-made materials such as paper and packaging. The strength of such materials is an intricate subject due…
A Graph Neural Network Approach for Product Relationship Prediction
Faez Ahmed, Yaxin Cui, Yan Fu +1
Graph Neural Networks have revolutionized many machine learning tasks in recent years, ranging from drug discovery, recommendation systems, image classification, social network ana…
Nonstationarity Analysis of Materials Microstructures via Fisher Score Vectors
Kungang Zhang, Daniel W. Apley, Wei Chen
Microstructures are critical to the physical properties of materials. Stochastic microstructures are commonly observed in many kinds of materials and traditional descriptor-based i…
A Conditional Generative Model for Predicting Material Microstructures from Processing Methods
Akshay Iyer, Biswadip Dey, Arindam Dasgupta +2
Microstructures of a material form the bridge linking processing conditions - which can be controlled, to the material property - which is the primary interest in engineering appli…
Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables
Yichi Zhang, Daniel Apley, Wei Chen
Although Bayesian Optimization (BO) has been employed for accelerating materials design in computational materials engineering, existing works are restricted to problems with quant…
Rethinking Interphase Representations for Modeling Viscoelastic Properties for Polymer Nanocomposites
Xiaolin Li, Min Zhang, Yixing Wang +4
Numerical modeling of viscoelastic properties is critical to developing the structure-property relationship of polymer nanocomposites. While it is recognized that the altered polym…