A comprehensive thesis on hydrogen embrittlement authored by Michele De Giosa, Università del Salento, Italy, published exclusively by CYBERNET ⇒ Read Here
Abstract
Multi materials support in microstructure modeling and a new interface for drape simulation ⇒ Release Notes
What's New
Multiscale.Sim offers powerful microstructure modeling capabilities and it's been one of its unique and most sought after features for a long time. This version update brings most anticipated multiple material support for microstructure modeling.
Glad to share that the University of Pavia, together with Politecnico di Milano, Technion - Israel Institute of Technology and University of Bologna, organizes the International Summer School “Mechanics of active soft materials: experiments, theory, numerics, and applications” within the Lake Como School of Advanced Studies, from 1st to 5th July 2024 at Villa del Grumello (Como, Italy). https://star.lakecomoschool.org/
This webinar will showcase simulation techniques to predict the quality of your RTM molded product without excessive reliance on actual tests.
Save the date: 28 November 2023 at 3 PM JST ⇒ Register from here
Webinar Abstract
Sharing for the benefit of those who are interested: A new technical paper co-authored by researchers at the JAXA: Japan Aerospace Exploration Agency, The University of Tokyo and CYBERNET SYSTEMS CO.,LTD., was published in the Aerospace - a free-access journal by MDPI. The authors reckon that the study will provide a guideline for effective designs of high-performance lattice structures with architected materials.
In this course you will fully learn how to incorporate new materials informatics methods into your own material modeling, analysis and design processes in order to capitalize on recent AI breakthroughs, such as language models (e.g. GPT-3, BERT, LaMDA, etc.), DNA and protein models (e.g., AlphaFold), graph neural networks applied from molecular to macroscale structures, and a host of methods adapted for computer vision including diffusion models (as used in DALL-E 2 or Imagen), specifically for the analysis, design and modeling of materials. The course involves a mix of lectures, hands-on labs and clinics for an immersive experience. Participants will learn fundamentals and techniques to deploy machine learning in materials development and gain first-hand understanding of state-of-the art tools for varied applications ranging from data mining to inverse design. We will cover scales from the molecular to the continuum.
The Multiscale Mechanics and Multiphysics of Materials Lab (http://m4lab.unibs.it) at the School of Engineering at the University of Brescia, Italy announces a PhD fellowship on the subject of Modeling and simulations for next generation lithium-ion cells. The fellowship is fully funded by the m4lab in collaboration with the Austrian Research Center Virtual Vehicles (https://www.v2c2.at) and will last three years.
Dear Colleagues, Peers, Friends, and Savants,
Do you want to give back to your community, broaden your research horizons, understand the other side of funding, or just seek a temporary change of venue to reinvigorate yourself? Then, here is an opportunity at NSF/MoMS to do just that: https://beta.nsf.gov/careers/openings/eng/cmmi/cmmi-2020-1826.
Please, consider, disseminate, and encourage worthy candidates. I'm always available to provide more information. You know how to contact me.
