3 Questions: What the laws of physics tell us about CO2 removal
In a report on the feasibility of removing carbon dioxide from the atmosphere, physicists say these technologies are “not a magic bullet, but also not a no-go.”
In a report on the feasibility of removing carbon dioxide from the atmosphere, physicists say these technologies are “not a magic bullet, but also not a no-go.”
MIT oceanographer and biogeochemist Andrew Babbin has voyaged around the globe to investigate marine microbes and their influence on ocean health.
The company builds water recycling, treatment, and purification solutions for some of the world’s largest brands.
Special report describes targets for advancing technologically feasible and economically viable strategies.
Using the Earth itself as a chemical reactor could reduce the need for fossil-fuel-powered chemical plants.
Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.
New findings illuminate how Prochlorococcus’ nightly “cross-feeding” plays a role in regulating the ocean’s capacity to cycle and store carbon.
SERC Scholars from around the MIT community examine the electronic hardware waste life cycle and climate justice.
MIT chemical engineers designed an environmentally friendly alternative to the microbeads used in some health and beauty products.
First organized MIT delegation highlights the Institute's growing commitment to addressing climate change by showcasing research on biodiversity conservation, AI, and the role of local communities.
Josephine Carstensen and David McGee discuss the value and impact that MIT Global Seed Funds, which create synergistic partnerships between faculty and peers abroad, added to their research.
The new panels are part of MIT’s comprehensive campus climate commitments.
The method could help communities visualize and prepare for approaching storms.
Projects in Texas and North Dakota support clean energy transition as MIT moves closer to 2026 net-zero goal.
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.