Markus J. Buehler(@ProfBuehlerMIT) 's Twitter Profileg
Markus J. Buehler

@ProfBuehlerMIT

McAfee Professor of Engineering @MIT

ID:2915980918

linkhttp://web.mit.edu/mbuehler/www/ calendar_today11-12-2014 18:10:28

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Markus J. Buehler(@ProfBuehlerMIT) 's Twitter Profile Photo

Advanced Materials through Predictive Multiscale Design: What are the opportunities, challenges, and what does it take to advance the field for industrial impact?
linkedin.com/pulse/advanced…

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Markus J. Buehler(@ProfBuehlerMIT) 's Twitter Profile Photo

Metal-coordination bonds, a highly-tunable class of dynamic non-covalent interactions are pivotal to the function of a variety of protein-based natural materials like mussel byssal thread fibers or abrasion resistant arthropod mandibles. However, little is known about their…

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Markus J. Buehler(@ProfBuehlerMIT) 's Twitter Profile Photo

Collagen is one of the most fascinating biomaterials - key to tendon, bone, skin, blood vessels and much more. I'll be presenting at the Collagen Café on 4/25/24 hosted by Andrew Rutenberg & Laurent Kreplak Dalhousie University. My talk will cover “Artificial Intelligence Driven Modeling…

Collagen is one of the most fascinating biomaterials - key to tendon, bone, skin, blood vessels and much more. I'll be presenting at the Collagen Café on 4/25/24 hosted by @AndrewRutenberg & Laurent Kreplak @DalhousieU. My talk will cover “Artificial Intelligence Driven Modeling…
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Markus J. Buehler(@ProfBuehlerMIT) 's Twitter Profile Photo

Nice write-up by Bennie Mols for Communications of the ACM on the exciting possibilities of combining generative AI with physics-based modeling into a new form of physics-grounded artificial intelligence. The discussion was held at a recent panel at AAAS AAAS Annual Meeting on generative AI in…

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Markus J. Buehler(@ProfBuehlerMIT) 's Twitter Profile Photo

We're excited to share this new paper on the cover of Engineering Au, cover our work on multi-agent problem solving. In one example, using a set of seven LLM agents, each with specific expertise and capabilities, we can answer complex questions here: “Design molybdenene 2D…

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Markus J. Buehler(@ProfBuehlerMIT) 's Twitter Profile Photo

Nature has severely outpaced humans in developing , that access impressive material properties, all the while being fully and part of native . But how can we effectively model the intricate time and length scales in…

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Markus J. Buehler(@ProfBuehlerMIT) 's Twitter Profile Photo

If you are interested in my MIT Professional Ed Predictive Multiscale Materials Design short course, please join our virtual open house on Thursday, April 4 at noon Eastern to get the inside scoop on the key skills you will learn, topics covered, and how the course will unfold.…

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Markus J. Buehler(@ProfBuehlerMIT) 's Twitter Profile Photo

In this MIT Professional Ed virtual open house on Thursday, April 4 at noon Eastern, I will share details and an outlook into this summer's program in Predictive Multiscale Materials Design. You can sign up here: professional-education.mit.edu/Predictive_Mul…
We have exciting updates this year, especially…

In this @MITProfessional virtual open house on Thursday, April 4 at noon Eastern, I will share details and an outlook into this summer's program in Predictive Multiscale Materials Design. You can sign up here: professional-education.mit.edu/Predictive_Mul… We have exciting updates this year, especially…
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Markus J. Buehler(@ProfBuehlerMIT) 's Twitter Profile Photo

We can accelerate scientific discovery by teaching generative AI to make de novo predictions about never-before-seen ideas, concepts and designs. The method is based on a new approach that integrates: 1) Generative Knowledge Extraction, 2) Graph-Based Representation, and 3)…

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