Markus Buehler receives 2025 Washington Award
Materials scientist is honored for his academic leadership and innovative research that bridge engineering and nature.
Reducing carbon emissions from residential heating: A pathway forward
A new MIT study identifies steps that can lower not only emissions, but also costs, across the combined electric power and natural gas industries that now supply heating fuels.
Unlocking the secrets of fusion’s core with AI-enhanced simulations
Fusion’s future depends on decoding plasma’s mysteries. Simulations can help keep research on track and reveal more efficient ways to generate fusion energy.
AI model deciphers the code in proteins that tells them where to go
Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.
Validation technique could help scientists make more accurate forecasts
MIT researchers developed a new approach for assessing predictions with a spatial dimension, like forecasting weather or mapping air pollution.
Smart carbon dioxide removal yields economic and environmental benefits
MIT study finds a diversified portfolio of carbon dioxide removal options delivers the best return on investment.
How to make small modular reactors more cost-effective
Youyeon Choi is leaning on her work experience in South Korea — a leading nation in nuclear energy — and her love of multi-physics modeling as she pursues her doctoral research.
For healthy hearing, timing matters
Machine-learning models let neuroscientists study the impact of auditory processing on real-world hearing.
The role of modeling in the energy transition
At the MITEI Fall Colloquium, the administrator of the US Energy Information Administration explained why long-term energy models are not forecasting tools — and why they’re still vitally important.
How hard is it to prevent recurring blackouts in Puerto Rico?
Using the island as a model, researchers demonstrate the “DyMonDS” framework can improve resiliency to extreme weather and ease the integration of new resources.
Want to design the car of the future? Here are 8,000 designs to get you started.
MIT engineers developed the largest open-source dataset of car designs, including their aerodynamics, that could speed design of eco-friendly cars and electric vehicles.
Advancing urban tree monitoring with AI-powered digital twins
The Tree-D Fusion system integrates generative AI and genus-conditioned algorithms to create precise simulation-ready models of 600,000 existing urban trees across North America.
Reality check on technologies to remove carbon dioxide from the air
Study finds many climate-stabilization plans are based on questionable assumptions about the future cost and deployment of “direct air capture” and therefore may not bring about promised reductions.
Killing the messenger
A newly characterized anti-viral defense system in bacteria aborts infection through a novel mechanism by chemically altering mRNA.
Revealing causal links in complex systems
MIT engineers’ algorithm may have wide impact, from forecasting climate to projecting population growth to designing efficient aircraft.