chemistry
chemistry

chemistry

Algorithms Artificial Intelligence Awards, honors and fellowships Biology chemistry DMSE Electrical engineering and computer science (EECS) Graduate, postdoctoral Lincoln Laboratory Materials science and engineering MIT Schwarzman College of Computing MIT-Harvard Center for Ultracold Atoms Physics Quantum Computing Quantum physics Research Research Laboratory of Electronics School of Engineering School of Science

MIT Quantum Initiative launches postdoctoral fellowship program

The Institute welcomes its first cohort of QMIT Fellows this fall to advance interdisciplinary quantum research.

Artificial Intelligence Chemical engineering chemistry Computer science and technology Department of Energy (DoE) DMSE machine learning Materials science and engineering National Science Foundation (NSF) Nuclear science and engineering Physics Research School of Engineering School of Science Semiconductors

AI helps design new materials that work in the real world

The “CrysVCD” tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.

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Paving the way for greener ammonia production

New MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that’s essential to fertilizer and other products.

Artificial Intelligence Awards, honors and fellowships chemistry Contests and academic competitions Electrical engineering and computer science (EECS) Ethics Harvard-MIT Health Sciences and Technology Human-computer interaction IDSS Law MIT Schwarzman College of Computing Neuroscience School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Students Technology and policy Technology and society

Toward a future that preserves benefits of neurotechnology for all

PhD student Rachel Sava, winner of the Envisioning the Future of Computing Prize, explores transformative improvements and dystopian risks of neural technology.

Artificial Intelligence Chemical engineering chemistry Computer modeling Computer science and technology DMSE machine learning Materials science and engineering Research School of Engineering

A better way to model the behavior of metal alloys

MIT researchers’ approach captures subtle atomic patterns, improving predictions of material properties.

Alumni/ae Artificial Intelligence Awards, honors and fellowships chemistry Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Graduate, postdoctoral Mechanical engineering MIT Schwarzman College of Computing Robotics School of Engineering School of Science Students

MIT affiliates win 2026 Hertz Foundation Fellowships

The fellowships in applied sciences, engineering, and mathematics recognize doctoral students who are pursuing solutions to the most pressing challenges in science and technology.

Algorithms Artificial Intelligence Astronomy and astrophysics chemistry Collaboration Computer science and technology Data DMSE Funding IDSS machine learning Mathematics MIT Schwarzman College of Computing National Science Foundation (NSF) Physics Research School of Engineering School of Science

NSF renews support for MIT-led AI and physics institute, expanding a new model for discovery

IAIFI enters its second phase with increased funding, broader ambitions, and a growing community at the frontier of AI and fundamental physics.

Alumni/ae Artificial Intelligence Chemical engineering chemistry Computer science and technology Drug discovery Electrical engineering and computer science (EECS) Faculty machine learning MIT Schwarzman College of Computing Profile School of Engineering

Building AI models that understand chemical principles

Connor Coley works at the interface of chemistry and machine learning, to discover and design new drug compounds.

Artificial Intelligence Astronomy and astrophysics Awards, honors and fellowships chemistry Computer Science and Artificial Intelligence Laboratory (CSAIL) Education, teaching, academics Electrical engineering and computer science (EECS) Faculty machine learning MIT Schwarzman College of Computing Natural language processing School of Engineering School of Science

Jacob Andreas and Brett McGuire named Edgerton Award winners

The associate professors of EECS and chemistry, respectively, are honored for exceptional contributions to teaching, research, and service at MIT.

Algorithms Artificial Intelligence Astronomy and astrophysics chemistry Computer science and technology Data Faculty IDSS Interview Laboratory for Nuclear Science machine learning Materials science and engineering Mathematics MIT Schwarzman College of Computing National Science Foundation (NSF) Physics Research School of Science

3 Questions: On the future of AI and the mathematical and physical sciences

Professor Jesse Thaler describes a vision for a two-way bridge between artificial intelligence and the mathematical and physical sciences — one that promises to advance both.