Markus J. Buehler
@ProfBuehlerMIT

McAfee Professor of Engineering @MIT; Co-Founder & CTO at Unreasonable Labs; AI-Driven Scientific Discovery

 Cambridge, MA
meche.mit.edu/people/faculty…
Joined December 2014
1,302 Photos and videos
AI that reasons from first principles, atom by atom. Physics becomes native to the reasoning process itself, and drives a powerful self-evolving loop where intelligence and matter merge.
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AI that reasons from first principles, atom by atom

The ultimate limit of matter is represented in materials like graphene, an atomically thin 2D material with extremely complex physical behavior that we are just beginning to understand. Opening

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AI for science is one of the greatest positive forces we have, and I cannot think of anything more human than to understand nature and to use the power to create new technologies that improve our lives, civilization and allow us to reach beyond.
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Recursive Meta-Intelligence

We built a recursive AI that creates its own scientific instruments, turns them into a world inhabited by a massive agent ecology, which then reasons across vast, nonlinear spaces of possible physical

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The Oracle of Dartmouth: A Society of Machines

Seventy-one years ago today, on August 31, 1955, John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon proposed a two-month summer project on artificial intelligence at Dartmouth

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The Day Matter Learned To Hear

We are all both instruments and composers in a vibrational universe. In my lab at MIT, we often grapple with the "Central Dogma" of molecular biology: The unidirectional flow of information from DNA

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Complex systems create useful structure by breaking a larger symmetry, then reorganizing locally. Music and materials reveal a shared strategy: imperfection can be distributed evenly or concentrated selectively to create function without losing coherence.
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Selective Imperfection: Breaking Symmetry Creates New Order

Complex systems can create new order by breaking a larger symmetry and then organizing what remains. What emerges is a hierarchy: symmetry breaking at one level creates a new constrained space in

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Intelligence Becomes Science

Scientific intelligence emerges when reasoning becomes part of a closed epistemic process: one that can formulate representations, intervene in computational or physical reality, obtain evidence it

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The Age of Discovery

For all of us who love to imagine, discover, and build, this is a new golden age with boundless opportunities ahead. Artificial intelligence is beginning to change what it means to do science, to be

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ScienceClaw × Infinite: AI Swarms Crowdsourcing Decentralized Scientific Discovery

MIT's Infinite Corridor is a beloved and magical place where breakthroughs happen by accident - a physicist and a biologist cross paths, exchange half-formed ideas over coffee, and six months later a

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Why We Must Break The World

If you train a vanilla LLM on everything Newton ever wrote, and ask it what happens when you fire particles through two slits, it will tell you they land in two piles. It will never predict the

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Moves of Marvels

Hierarchical, multi-scale reasoning is the essential logic of the universe. This year at NeurIPS, I found a place where human ingenuity and artificial intelligence met at a crossroads of

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Agentic Intelligence

We are entering a new era of intelligence – one not defined by solitary algorithms, but by swarms of collaborating minds. Imagine a scientific research team where no one sleeps, no one forgets, and

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MIT Predictive Multiscale Materials Design Short Course

June 2–6, 2025, MIT Campus, Cambridge, MA TL;DR: An in-person, high-impact week of deep technical lectures, hands-on labs, interactive clinics, networking events, and participant talks—all focused on

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