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Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing the transition to clean energy.

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.

An experiment in Amsterdam suggests providing better information to people can help move them out of “energy poverty.”

As the use of generative AI continues to grow, Lincoln Laboratory's Vijay Gadepally describes what researchers and consumers can do to help mitigate its environmental impact.

By developing new materials for separating a mixture’s components, Zachary Smith hopes to reduce costs and environmental impact across many U.S. industries.

Professor Evan Lieberman describes new research in which he and colleagues find a sharp partisan divide over providing aid to poor nations.

MAD Design Fellow Zane Schemmer writes algorithms that optimize overall function, minimize carbon footprint, and produce a manufacturable design.

Using the island as a model, researchers demonstrate the “DyMonDS” framework can improve resiliency to extreme weather and ease the integration of new resources.