Short course

MIT Generative Multiscale Materials Design: Physics, AI, Manufacturing Short Course

Dera iMechanica Community,

Below is information about a short course I will be offering at MIT this summer, in Live Virtual format: Machine Learning for Materials Informatics (Jul 29 - Aug 2, 2024).  This is an exciting opportunity that will cover fundamentals and applications in the emerging space of AI/ML for engineering, featuring hands-on interactive code development in Jupyter notebooks. We'll do a deep dive into all critical tools from autoencoders to graph neural nets to multimodal LLMs and multi-agent modeling. Please reach out to me if you have any questions.

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.  

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.

We will be teaching a short course on residual stress on June 12, 2022 at the SEM Experimental Mechanics conference in Pittsburgh. 

See below and https://sem.org/annual (under PROGRAMS/COURSES) for details.

Residual stress short courses don't happen too often. The course should be appropriate for students, industrialists, and researchers. Hope you can make it. The proceeds all benefit SEM.

Residual Stress 101

Spend a week at MIT and earn a MIT certificate. A great opportunity for postdocs and graduate students. Limited number of fellowships available. 

June 12-16, 2017

URL: http://professional.mit.edu/programs/short-programs/multiscale-materials-design 

Spend a week at MIT and earn a certificate, a great opportunity for postdocs and graduate students. Limited number of fellowships available. 

June 22-26, 2015

URL: http://web.mit.edu/professional/short-programs/courses/multiscale_mater…