chemistry
chemistry

chemistry

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.

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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.

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MIT Energy Initiative conference spotlights research priorities amidst a changing energy landscape

Industry leaders agree collaboration is key to advancing critical technologies.

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A new model predicts how molecules will dissolve in different solvents

Solubility predictions could make it easier to design and synthesize new drugs, while minimizing the use of more hazardous solvents.

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New machine-learning application to help researchers predict chemical properties

ChemXploreML makes advanced chemical predictions easier and faster — without requiring deep programming skills.

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New AI system uncovers hidden cell subtypes, boosts precision medicine

CellLENS reveals hidden patterns in cell behavior within tissues, offering deeper insights into cell heterogeneity — vital for advancing cancer immunotherapy.

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New model predicts a chemical reaction’s point of no return

Chemists could use this quick computational method to design more efficient reactions that yield useful compounds, from fuels to pharmaceuticals.

Artificial Intelligence chemistry Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Drug discovery Electrical engineering and computer science (EECS) machine learning Medicine MIT Schwarzman College of Computing MIT-IBM Watson AI Lab National Science Foundation (NSF) Pharmaceuticals Research School of Engineering

Could LLMs help design our next medicines and materials?

A new method lets users ask, in plain language, for a new molecule with certain properties, and receive a detailed description of how to synthesize it.

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With generative AI, MIT chemists quickly calculate 3D genomic structures

A new approach, which takes minutes rather than days, predicts how a specific DNA sequence will arrange itself in the cell nucleus.

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MIT Schwarzman College of Computing launches postdoctoral program to advance AI across disciplines

The new Tayebati Postdoctoral Fellowship Program will support leading postdocs to bring cutting-edge AI to bear on research in scientific discovery or music.