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.
Planets without water could still produce certain liquids, a new study finds
Lab experiments show “ionic liquids” can form through common planetary processes and might be capable of supporting life even on waterless planets.
AI helps chemists develop tougher plastics
Researchers created polymers that are more resistant to tearing by incorporating stress-responsive molecules identified by a machine-learning model.
New system dramatically speeds the search for polymer materials
The platform identifies, mixes, and tests up to 700 new polymer blends a day for applications like protein stabilization, battery electrolytes, or drug-delivery materials.
New machine-learning application to help researchers predict chemical properties
ChemXploreML makes advanced chemical predictions easier and faster — without requiring deep programming skills.
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.
MIT chemists boost the efficiency of a key enzyme in photosynthesis
The enzyme, known as rubisco, helps plants and photosynthetic bacteria incorporate carbon dioxide into sugars.
Inspiring student growth
Professors Xiao Wang and Rodrigo Verdi are honored as “Committed to Caring.”
Four from MIT named 2025 Goldwater Scholars
Rising seniors Avani Ahuja, Julianna Lian, Jacqueline Prawira, and Alex Tang are honored for their academic achievements.
QS ranks MIT the world’s No. 1 university for 2025-26
Ranking at the top for the 14th year in a row, the Institute also places first in 11 subject areas.
Eight with MIT ties win 2025 Hertz Foundation Fellowships
The fellowships recognize doctoral students who have “the extraordinary creativity and principled leadership necessary to tackle problems others can’t solve.”
Using AI to explore the 3D structure of the genome
Two meters of DNA is crammed into the nucleus of every human cell. Bin Zhang wants to know how gene expression works in this minuscule space.
New molecular label could lead to simpler, faster tuberculosis tests
MIT chemists found a way to identify a complex sugar molecule in the cell walls of Mycobacterium tuberculosis, the world’s deadliest pathogen.
A new computational framework illuminates the hidden ecology of diseased tissues
The MESA method uses ecological theory to map cellular diversity and spatial patterns in tissues, offering new insights into disease progression.
The chemistry of creativity
Senior Madison Wang blends science, history, and art to probe how the world works and the tools we use to explore and understand it.