Check our collaborative paper (with J.S. Chen's team at UC San Diego) that investigates the autoencoder based data-driven data-driven approach for nonlinear materials modeling. #mechanics #machinelearning lnkd.in/gbnCid3

Although it is -20°C outside in Minnesota, it brings me great warmth when I saw the kind words written in the course evaluation by my students at SDSU. I am so grateful to have you all in the 1st course in my teaching career!

I have a fully funded postdoc position with some flexibility for the starting date (Fall 2022, Spring 2023, Fall 2023) at Columbia University for a project on deep learning for dynamic responses of solids. More information can be found at imechanica.org/node/25784

Exciting news! the USACM thematic conference on Meshfree and Novel Finite Elements is coming back, to be held in Berkeley, USA, September 25-27, 2022. The deadline for abstract submission is May 1, 2022. If you are interested in attending, please check: mfem2020.usacm.org

The journal of Computers and Geotechnics of Elsevier is now officially on Twitter. We will report the latest research on computational geomechanics and numerical modeling in geotechnics published in our journal and update all news about our journal. Please follow - thanks

Welcome to apply for the J.S. Braun/Braun Intertec Visiting Professorship Spring or Fall 2023 at the University of Minnesota. More details can be found in the attached flyer.

We are organizing two minisymposiums on Data-Driven Solid Mechanics (MS 413) and Additive Manufacturing (MS 605) in the 17th U.S. National Congress on Computational Mechanics (USNCCM) at Albuquerque, NM, July 23-27, 2023 (17.usnccm.org/congressMS). Welcome to submit abstracts!

I am looking for a PhD student to start in Fall 2023 to work on projects related to GW-SW interactions, watershed hydro-biogeochemical processes, and hydrological modeling. Hydrologic Science Hydrology Opportunities AGU Hydrology H3S Josh's Water Jobs See details: bit.ly/3gTzTfw

Don’t mean to brag, but… The University of Minnesota was ranked 18th in the world for patents awarded. That includes numerous science and technology advancements from CSE researchers! #UMNProud z.umn.edu/researchstatis…

Officially started my #AGU2022 conference this afternoon. Excited to see some friends already and look forward to the coming days of science chats!

You are invited to submit abstracts to the mini-symposium MS704 - Data-Driven Approaches and Digital Twins for Solid and Geological Mechanics, organized by scholars College of Sci & Eng Columbia University UCSD Engineering Ansys (emi-conference.org/call-abstracts…).

Check out recent preprint paper on developing a hybrid FEM/NeuralOperator model to accelerate simulation of ice sheet models for probabilistic projections of sea level rise, under collaboration with UMNCEGE , Pacific Northwest National Laboratory, Sandia National Labs , and BrownU. arxiv.org/abs/2301.11402

Congratulations to Honghui for publishing a paper in Computers and Geotechnics. Collaborating with the UIUC's team, this study explores the application of deep learning approach in predicting the flow and transport behavior during CO2 injection. sciencedirect.com/science/articl…

Excited being the lab instructor for Session 1. Hope everyone enjoyed the short course.

You are invited to submit an Abstract to "Advances in Multi-Scale Modeling and Machine Learning for Long-Duration Electrochemical Energy Storage Systems" for 2024 ACS Spring Meeting, ENFL. Due: Oct. 2, 2023. callforabstracts.acs.org/acsspring2024/…

Despite facing challenges, our group InCOME, still managed to contribute 4 presentations at AGU 2023. If you are interested in scientific machine learning, geophysics, or subsurface transport, please check our talks qzhe.umn.edu/incoming-prese… #AGU2023 #visa #adminstrativeprocessing

Check our recent paper to advance differentiable meshfree method with GPU acceleration for modeling nonlinear elasticity problems. The improvement is achieved by introducing meshfree variational weak form and customized local basis functions. link.springer.com/10.1007/s00366…