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.
A newly launched journal is calling for papers in the field of intelligent construction. The Editors-in-Chief are Prof. Peng Lin from Tsinghua University and Dr. Jinsheng Jia from China Institute of Water Resources and Hydropower Research.
We would like to invite you to present your work at our mini-symposium titled "Multiscale Modeling of Phase Transformation in Materials" at the 2023 annual Society of Engineering Sciences (SES) meeting.
We cordially invite you to present your work at our symposium titled "Recent Advances in Modeling and Simulation at Nano- and Micro-scales", as part of the 2023 Society of Engineering Science Annual Meeting (SES 2023). The meeting will be held on October 8-11, 2023 in Minneapolis, MN.
Morphing matter includes biological and engineering materials and structures with dynamic and tunable properties such as shape, color, stiffness, texture, and density. Examples include pinecones that open when dried and close when wet, octopus that camouflages by changing body shapes, textures and colors, food that changes shapes during cooking, and smart windows that dynamically tune color and surface roughness.
DEM9: 9th Conference on Discrete Elements Methods
Registration and abstract submission for DEM9 are now open: https://dem9.fau.de
Euromech Colloquium CELLULAR MECHANOBIOLOGY AND MORPHOGENESIS
Dear Colleagues,
It gives us great pleasure to announce the Euromech Colloquium “CELLULAR MECHANOBIOLOGY AND MORPHOGENESIS” to be held in Sirmione, Italy, 21-24 August 2023 (https://638.euromech.org/).
Jessica Zhang, Alireza Tabarraei, Kathryn Maupin, and myself are organizing a mini-symposium on “Data-Enabled Predictive Modeling, Machine Learning, and Uncertainty Quantification in Computational Mechanics,” in the ASME IMECE 2023 (October 29 – November 2, 2023). The symposium solicits abstracts on novel scientific machine learning (SciML) and uncertainty quantification (UQ) methods a wide range of applications across science, engineering, and medicine.
