An electrochemical approach turns ammonia into pure hydrogen
An MIT team has demonstrated a more efficient way to extract pure hydrogen gas from hydrogen carrier molecules.
An MIT team has demonstrated a more efficient way to extract pure hydrogen gas from hydrogen carrier molecules.
The Institute welcomes its first cohort of QMIT Fellows this fall to advance interdisciplinary quantum research.
The “CrysVCD” tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.
New MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that's essential to fertilizer and other products.
The Materials Research Science and Engineering Center unites researchers across disciplines to develop technologies for medical imaging, sustainable metals production, and next-generation electronics.
A new fabrication platform integrates molecules into electronic devices, opening the door to emerging computing technologies.
New findings could help researchers design synthetic catalysts that convert nitrogen gas to ammonia, a key step in fertilizer production.
New U-STORM imaging technology lets scientists view molecular structures in subatomic detail — about 1,000 times clearer than traditional dyes — while making the microscope process much simpler.
Researchers found a simple solution for extending the lifespans of LEDs made from glowing microscopic particles called quantum dots.
PhD student Rachel Sava, winner of the Envisioning the Future of Computing Prize, explores transformative improvements and dystopian risks of neural technology.
Ranking at the top for the 15th year in a row, the Institute also places first in 12 subject areas.
The MIT professor’s groundbreaking work on atmospheric chemistry helped lay steps towards recovery of the ozone layer and demonstrated the lasting impacts of carbon emissions on Earth’s climate.
The fellowships in applied sciences, engineering, and mathematics recognize doctoral students who are pursuing solutions to the most pressing challenges in science and technology.
MIT researchers present a promising new approach to efficient, flexible carbon capture and removal.
IAIFI enters its second phase with increased funding, broader ambitions, and a growing community at the frontier of AI and fundamental physics.