At a high level, ammonia seems like a dream fuel: It’s carbon-free, energy-dense, and easier to move and store than hydrogen.

AI supports the clean energy transition as it manages power grid operations, helps plan infrastructure investments, guides development of novel materials, and more.

MIT Lincoln Laboratory researchers designed the hydrophone using common MEMS parts for defense, industrial, and undersea research applications.

AI models are out on an energy-intensive training session with no end in sight.

Urban agriculture transported by electric vehicles to local outlets can change the way people live, eat and shop.

By using two propellers that rotate in opposite directions, a ship can use less energy to move forward. 

The first annual report by the new collaboration, the London Register of Subsurface CO₂ Storage, reveals that over 383 million tonnes of carbon dioxide had been stored since 1996 – the equivalent of 81,044,946 petrol-powered cars driven for one year.

Contrary to popular belief, new research finds that the use of artificial intelligence has a minimal effect on global greenhouse gas emissions and may actually benefit the environment and the economy.

A new study shows that lithium — a critical element used in rechargeable batteries and susceptible to supply chain disruption — can be recovered from battery waste using an electrochemically driven recovery process.

With global power demand from data centers expected to more than double by 2030, the MIT Energy Initiative (MITEI) in September launched an effort that brings together MIT researchers and industry experts to explore innovative solutions for powering the data-driven future.