Chemistry

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

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

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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.

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