Machine-learning tool could help develop tougher materials
Engineers develop a rapid screening system to test fracture resistance in billions of potential materials.
Engineers develop a rapid screening system to test fracture resistance in billions of potential materials.
Microneedles made of silk-based material can target plant tissues for delivery of micronutrients, hormones, or genes.
When they encounter nutrient oases in the marine desert, marine bacteria release a gas involved in climate regulation.
Ezra Zuckerman Sivan, Jinhua Zhao, and Kamal Youcef-Toumi honored as “Committed to Caring.”
A machine learning algorithm combines data on the disease's spread with a neural network, to help predict when infections will slow down in each country.
Concrete is the world’s most consumed construction material. Yet there’s a lot the public doesn’t know about it or its environmental impact.
Translated into sound, SARS-CoV-2 tricks our ear in the same way the virus tricks our cells.
MIT Concrete Sustainability Hub researchers are investigating how the layouts, or textures, of cities influence extreme weather events.
Technique may enable speedy, on-demand design of softer, safer neural devices.
MIT Professor David Simchi-Levi forecast the mid-March manufacturing pause. Now he looks ahead.
MIT Professor Yossi Sheffi describes the supply chain landscape in the U.S., from food security to concerns about medical supplies.
A new way of making polymers adhere to surfaces may enable better biomedical sensors and implants.
A variety of MIT research projects could aid efforts to detect and prevent the spread of coronavirus.
Institute ranks second in five subject areas.
Computer and data science graduates learned to forge their own destinies while gaining employable skills.