USNCCM18: Minisymposium226-Machine Learning-Based Modeling, Prediction, and Optimization in Advanced Manufacturing and Multiphysical Properties of Materials
Hello iMechanica Community, We are organizing a mini symposium (MS) titled "226 - Machine Learning-Based Modeling, Prediction, and Optimization in Advanced Manufacturing and Multiphysical Properties of Materials" at the 18th U.S. National Congress on Computational Mechanics (USNCCM18), to be held in Chicago, Illinois, from July 20-24, 2025.
EMI 2025 Mini-Symposium: Mechanics and Physics of Granular Materials – 25th Anniversary of the Technical Committee
There will be a mini-symposium titled “Mechanics and Physics of Granular Materials – 25th Anniversary of the Technical Committee" as part of Engineering Mechanics Institute Conference (EMI 2025) in Anaheim, California (May 27-30, 2025). This mini-symposium focuses on the mechanics of granular systems over a broad range of scales and phase regimes.
The Abstract submission deadline is December 20, 2024. To submit an abstract, please visit:
https://lnkd.in/gURTW8at
Article: Jensen–Shannon divergence based novel loss functions for Bayesian neural networks
Ponkrshnan Thiagarajan, Susanta Ghosh, "Jensen–Shannon divergence based novel loss functions for Bayesian neural networks", Neurocomputing, 2024, 129115, ISSN 0925-2312. https://doi.org/10.1016/j.neucom.2024.129115
Highlights
Two PhD positions available at Binghamton University
We have two new PhD positions to work on Mechanics and Manufacturing/Characterization of nanomaterials and nanocomposites with starting dates of Spring 2025 or Fall 2025. A stipend, full tuition and health insurance will be provided. If interested, please email your CV/resume and all your college/postgraduate transcrips to cke AT binghamton.edu.
Journal Club for Dec 2024: Design and potential application of irregular architected materials
Ke Liu
Department of Advanced Manufacturing and Robotics, Peking University, Beijing, China
Introduction
Webinar, USACM, TTA-Uncertainty Quantification and Probabilistic Modeling:: Title: Measuring dataset similarity in clustering-based, uncertainty-aware federated learning. Speaker: Prof. Chao Hu, University of Connecticut
This is a reminder that our next monthly webinar is December 5, 3-4pm EST. The speaker will be Associate Professor Chao Hu from University of Connecticut. We are hoping the format will promote a lively interactive discussion and engage both junior and senior members of our community. Look forward to seeing you there.
Monthly Webinar by USACM, TTA-Uncertainty Quantification and Probabilistic Modeling
December 5; 3pm EST
Speaker: Associate Professor Chao Hu, University of Connecticut
Postdoctoral fellowship in Computational Fracture Mechanics at Duke
I am happy to announce that a postdoctoral fellowship is available in the Dolbow Research Group at Duke University, working in the area of computational fracture mechanics. The fellowship provides the opportunity to work on an emerging class of complete fracture models that incorporate the three ingredients that are necessary to be predictive with elastic brittle materials: their elasticity, their fracture toughness, and their strength.
