Understanding ammonia energy’s tradeoffs around the world
MIT Energy Initiative researchers calculated the economic and environmental impact of future ammonia energy production and trade pathways.
MIT Energy Initiative researchers calculated the economic and environmental impact of future ammonia energy production and trade pathways.
Master's student Taylor Hampson is modeling the behavior of an unconventional rocket engine that will heat propellant using nuclear energy.
The program recognizes outstanding mentorship of graduate students.
MIT graduate student C Jacob Payne reimagines historic architecture and invents new possibilities at the intersection of AI and design.
Nuclear waste continues to be a bottleneck in the widespread use of nuclear energy, so doctoral student Dauren Sarsenbayev is developing models to address the problem.
With its circular single-stranded DNA molecules, MIT spinout Kano Therapeutics plans to make gene and cell therapies safer and more effective.
With an interest in trade unions and employer associations shaping the labor market, Busch is exploring how employee voices and economic democracy affect the future of work.
Postdoc Zongyi Li, Associate Professor Tess Smidt, and seven additional alumni will be supported in the development of AI against difficult problems.
Professors Rohit Karnik and Nathan Wilmers are honored as “Committed to Caring.”
For PhD student Benjamin Manning, the future of work means grasping AI’s role on our behalf while transforming and accelerating social scientific discovery.
A new MIT course explores how built environments can both emerge from and reveal the internal dynamics of their geographic context.
Quantum chemist and School of Science Dean’s Postdoctoral Fellow Ernest Opoku is working on computational methods to study how electrons behave.
Faculty recognized for the exceptional professional and personal guidance they provide postdocs.
Alnylam Pharmaceuticals establishes named fund in honor of its co-founder, an MIT Institute Professor and Nobel laureate.
MIT PhD students who interned with the MIT-IBM Watson AI Lab Summer Program are pushing AI tools to be more flexible, efficient, and grounded in truth.