News

Our paper, focused on training for neural operators, accepted for publication in CMAME.

Our manuscript, entitled "Neural Operators From The Cole-Hopf Transformation: Leveraging Relations Between PDEs for Efficient Operator Learning", has been accepted for publication in Computer Methods in Applied Mechanics and Engineering.

Our paper, focused on UQ for ML-based MD simulations, accepted for publication in MECMAT.

Our manuscript, entitled "Enhancing Robustness in Machine-Learning-Accelerated Molecular Dynamics: A Multi-Model Nonparametric Probabilistic Approach", has been accepted for publication in Mechanics of Materials.

Our paper, focused on UQ for Operator Inference, accepted for publication in CMAME

Our manuscript, entitled "Learning Latent Space Dynamics with Model-Form Uncertainties: A Stochastic Reduced-Order Modeling Approach", has been accepted for publication in Computer Methods in Applied Mechanics and Engineering.

Our paper, focused on representing model uncertainties in MD simulations under various statistical ensembles, accepted for publication in CMAME

Our manuscript, entitled "Stochastic Symplectic Reduced-Order Modeling for Model-Form Uncertainty Quantification in Molecular Dynamics Simulations in Various Statistical Ensembles", has been accepted for publication in Computer Methods in Applied Mechanics and Engineering. Congrats to Senou for…

Hooding Ceremony Spring 2024

Congratulations to Dr. Peiyi Chen!

Congratulations to Dr. Peiyi Chen! Peiyi graduated with a PhD in Physical Sciences and Engineering (completed in the department of Mechanical Engineering and Materials Science, Computational Mechanics and Scientific Computing track) and an MS in Computer Science. She will now take on a position…

Our paper, focused on operator learning in hyperelasticity, accepted for publication in Mech. Res. Commun.

Our manuscript, entitled "Operator Learning for Homogenizing Hyperelastic Materials, Without PDE Data", has been accepted for publication in Mechanics Research Communications.

FEMMES+ Capstone Event at Duke!

Outreach and FEMMES+ Capstone Event: Coding Music in Python!

A lot of fun today with the FEMMES+ Capstone event! Twenty 4-6 graders learned how to code music in Python - thanks to all volunteers and coordinators!

Our paper, focused on surrogate operators for fracture modeling, accepted for publication in J. Eng. Mech.

Our manuscript, entitled "Approximating Fracture Paths in Random Heterogeneous Materials: A Probabilistic Learning Perspective", has been accepted for publication in the Journal of Engineering Mechanics.

Our paper, focused on multiscale modeling of polydisperse foams, accepted for publication in Phys. Fluids

Our manuscript, entitled "Effect of Pore size Polydispersity on the Acoustic Properties of High-Porosity Solid Foams", has been accepted for publication in Physics of Fluids.

Defense of Peiyi Chen, MEMS@Duke

PhD Defense: Peiyi Chen

Congratulations to Peiyi Chen!

Our paper, focused on concurrent multiscale modeling and probabilistic learning, accepted for publication in CMAME

Our manuscript, entitled "Concurrent Multiscale Simulations of Nonlinear Random Materials Using Probabilistic Learning", has been accepted for publication in Computer Methods in Applied Mechanics and Engineering.

Our paper, focused on ROM and operator inference for non-smooth solution maps, accepted for publication in CMAME

Our manuscript, entitled "A Nonlinear-Manifold Reduced-Order Model and Operator Learning for Partial Differential Equations with Sharp Solution Gradients", has been accepted for publication in Computer Methods in Applied Mechanics and Engineering.

Our paper, focused on stochastic modeling for AM parts, accepted for publication in Comput. Mech.

Our manuscript, entitled "Microstructurally-Informed Stochastic Inhomogeneity of Material Properties and Material Symmetries in 3D-Printed 316L Stainless Steel", has been accepted for publication in Computational Mechanics.

PhD Defense: Hao Zhang

Congratulations to Hao Zhang for successfully defending his PhD thesis on Nov 8th!

Paul Ruffin Scarborough Professorship

Dr. Guilleminot was named the Paul Ruffin Scarborough Associate Professor of Engineering.