AI and machine learning for engineering design
Popular mechanical engineering course applies machine learning and AI theory to real-world engineering design.
Popular mechanical engineering course applies machine learning and AI theory to real-world engineering design.
The sPHENIX detector is on track to reveal properties of primordial quark-gluon plasma.
By directly imaging material failure in 3D, this real-time technique could help scientists improve reactor safety and longevity.
Scientists have discovered a link between the material’s pore size distribution and its ability to withstand radiation.
An oft-ignored effect can be used to probe an important property of semiconductors, a new study finds.
The simulations matched results from an underground lab experiment in Switzerland, suggesting modeling could be used to validate the safety of nuclear disposal sites.
The alumni-founded startup Nominal has built a platform for building and testing complex systems like fighter jets, nuclear reactors, rockets, and robots.
Eleven faculty members have been granted tenure in six units across MIT’s School of Engineering.
MIT Plasma Science and Fusion Center to establish the Schmidt Laboratory for Materials in Nuclear Technologies.
Allium Engineering, founded by two MIT alumni, has developed a process for improving steel rebar to triple the lifetime of bridges and other infrastructure.
Faculty members and researchers honored in recognition of their scholarship, service, and overall excellence.
Graduate engineering program is No. 1 in the nation; MIT Sloan is No. 5.
A new international collaboration unites MIT and maritime industry leaders to develop nuclear propulsion technologies, alternative fuels, data-powered strategies for operation, and more.
Zoe Fisher, a doctoral student in NSE, is researching how defects can alter the fundamental properties of ceramics upon radiation.
Tests suggest these powerful magnets will not suffer immediate loss of performance during irradiation.