MIT Predictive Multiscale Materials Design Short Course - June 2-6, 2025
MIT Predictive Multiscale Materials Design Short Course
June 2–6, 2025, MIT Campus, Cambridge, MA
multiscale
MIT Short Course: Predictive Multiscale Materials Design, June 12-16, 2023
TL;DR: Back on MIT campus, in person, with technical lectures, group work, interactive labs and clinics, networking sessions, and participant talks! Materials design has endless applications in countless industries, and its impact is growing especially at the nexus of creating more sustainable, functional and efficient materials platforms. MIT Predictive Multiscale Materials Design short course will be held during the week of June 12-16, 2023, at MIT. Participants will earn an official MIT certificate.
Post-doc 18 months - highly competitive European Space Agency - EMTD Lab post-doc position - Interdisciplinary Centre for Security and Trust
Dear Colleagues
MIT Short Course - Predictive Multiscale Materials Design
We at MIT, welcome you to join us this summer, in person, for a hands-on design-to-product Predictive Multiscale Materials Design course from June 13-17, 2022. All course registrants will receive an MIT certificate upon completion.
https://professional.mit.edu/course-catalog/predictive-multiscale-mater…
Legato team fights COVID-19 in Luxembourg
Dear all,
An update on the http://www.legato-team.eu at work in the COVID19 response in Luxembourg.
Check out http://www.ariana-tech.com a joint venture between Kyoto and Luxembourg.
Computer Graphics Algorithms and Image-Based Multiscale Multigrid Framework
We present a novel image-based multiscale multigrid solver that can efficiently address the computational complexity associated with highly heterogeneous systems. This solver is developed based on an image-based, multiresolution model that enables reliable data flow between corresponding computational grids and provides large data compression. A set of inter-grid operators is constructed based on the microstructural data which remedies the issue of missing coarse grid information.
MIT Short Course: Predictive Multiscale Materials Design: June 10-14, 2019
Registration closing soon - sign up now!
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Multiscale Modeling of Silk and Silk‐Based Biomaterials—A Review
https://doi.org/10.1002/mabi.201800253 In celebration of Stern Family Professor of Engineering David L. Kaplan, on the occasion of his 65th birthday, we review a selection of relevant contributions of computational modeling to understand the properties of natural silk, and to the design of silk-based materials, especially combined with experimental methods.