Machine learning unlocks secrets to advanced alloys
An MIT team uses computer models to measure atomic patterns in metals, essential for designing custom materials for use in aerospace, biomedicine, electronics, and more.
An MIT team uses computer models to measure atomic patterns in metals, essential for designing custom materials for use in aerospace, biomedicine, electronics, and more.
The approach could help engineers design more efficient energy-conversion systems and faster microelectronic devices, reducing waste heat.
A trailblazer in electron microscopy, Vander Sande is remembered for his dedication to teaching, service, and global collaboration.
A national bottle deposit fee could make a dramatic difference in reducing plastic waste, MIT researchers report.
The new design approach could be used to produce metals with exceptional combinations of strength and ductility, for aerospace and other applications.
The newly synthesized material could be the basis for wearable thermoelectric and spintronic devices.
Graduate engineering program is No. 1 in the nation; MIT Sloan is No. 5.
The technique characterizes a material’s electronic properties 85 times faster than conventional methods.
Ranking at the top for the 13th year in a row, the Institute also places first in 11 subject areas.
The work could lead to ultra-efficient electronics and more.
Research sheds light on the properties of novel materials that could be used in electronics operating in extremely hot environments.
The unexpected finding could be important for designing spacecraft shielding or in high-speed machining applications.
The material could be made as a thin coating to analyze air quality in industrial or home settings over time.
The chip-scale device could provide sensitive detection of lead levels in drinking water, whose toxicity affects 240 million people worldwide.
Ashutosh Kumar, a materials science and engineering PhD student and MathWorks Fellow, applies his eclectic skills to studying the relationship between bacteria and cancer.