MIT Generative Multiscale Materials Design: Physics, AI, Manufacturing Short Course
TL;DR: Deeply embedded at MIT, join us for a high-impact week of deep technical lectures, hands-on labs, and interactive clinics focused on the future of agentic materials discovery. You will master cutting-edge workflows using physics-based generative AI, multi-agent systems, molecular modeling, and precision manufacturing — culminating in an official MIT certificate.
More details, including a course schedule: https://professional.mit.edu/course-catalog/generative-multiscale-materials-design-physics-ai-manufacturing
This short course moves beyond static learning, immersing you in a dynamic environment featuring technical lectures, group design studios, interactive labs, and participant talks. It is a unique opportunity to not only learn but to network with global peers and MIT researchers.
You will move beyond simple prediction to master autonomous AI workflows. Through hands-on clinics, you will build multi-agent systems that reason, plan, and invent next-generation smart materials. The curriculum is designed to accelerate your ability to leverage the most in-demand areas of materials engineering:
- Generative Multiscale Modeling: Bridge atomic-level insights to macroscopic performance using "Scientist" and "Critic" agents to hypothesize and validate concepts.
- AI for Science: Master Large Reasoning Models, Diffusion Models, and Graph Neural Networks (GNNs) for autonomous discovery.
- Bio-Inspired Design: Utilize category theory and bio-knowledge graphs to transfer nature’s design principles into synthetic materials.
- Autonomous Manufacturing: Execute "bit-to-atom" workflows, using AI to drive multi-material 3D printing and physical validation.
- Nanotechnology: Engineer function and performance at the smallest scales using bottom-up construction.
The course involves pre- and post-course elements. Key components include a pre-course lecture as preparation, detailed lecture notes, a carefully curated set of reading materials, codes and algorithms, strategic recipes, overview materials, and two post-course office hours for in-depth discussions with the instructor. The course if taught for an audience with diverse background ranging from researcher, manager, VP or VC.
In the dynamic environment at MIT, alongside peers from around the world, you will gain insights into the science, technology, and agentic workflows being used to fabricate innovative materials from the molecular scale upwards. Through lectures and hands-on labs, you will learn how to construct atomically precise products in a bottom-up manner, utilizing Generative AI and reasoning models to drive the design process—enabling the discovery of advanced, high-performance architectures. You will also learn to deploy advanced generative pipelines for materials analysis and cement your knowledge with a “bit-to-atom” project, in which you will use autonomous AI agents and computational manufacturing to produce a custom 3D-printed smart material.
More information and sign-up: https://professional.mit.edu/course-catalog/generative-multiscale-materials-design-physics-ai-manufacturing
Instructor: Markus J. Buehler
McAfee Professor of Engineering, MIT
https://meche.mit.edu/people/faculty/mbuehler [at] mit.edu
mbuehler [at] MIT.EDU (mbuehler[at]MIT[dot]EDU)
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