Why are some rocks on the moon highly magnetic? MIT scientists may have an answer
A large impact could have briefly amplified the moon’s weak magnetic field, creating a momentary spike that was recorded in some lunar rocks.
A large impact could have briefly amplified the moon’s weak magnetic field, creating a momentary spike that was recorded in some lunar rocks.
Ground-level ozone in North America and Western Europe may become less sensitive to cutting NOx emissions. The opposite may occur in Northeast Asia.
A detailed MIT analysis identifies some promising options but also raises unexpected concerns.
TactStyle, a system developed by CSAIL researchers, uses image prompts to replicate both the visual appearance and tactile properties of 3D models.
With projected global warming, the frequency of extreme storms will ramp up by the end of the century, according to a new study.
In a new class, students design, build, and test an electric turbopump for a rocket engine, facing challenges they will experience as practicing engineers.
Materials scientist is honored for his academic leadership and innovative research that bridge engineering and nature.
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.
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.
Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.
MIT researchers developed a new approach for assessing predictions with a spatial dimension, like forecasting weather or mapping air pollution.
MIT study finds a diversified portfolio of carbon dioxide removal options delivers the best return on investment.
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.
Machine-learning models let neuroscientists study the impact of auditory processing on real-world hearing.
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.