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Climate News at MIT

The latest climate change research and action happening in and around MIT.

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PostJanuary 25, 2021

Atomic design for a carbon-free planet

MIT Department of Nuclear Science and Engineering

PostJanuary 20, 2021

“Futurizing” undergraduate teaching

MIT Department of Nuclear Science and Engineering

Associate Professor Michael Short's innovative teaching methods made classes personal, experiential, and created opportunities for one-on-one interactions with every student during the pandemic.

PostJanuary 15, 2021

Climate change: Where we are, where we’re headed, what we can do

MIT Center for Sustainability Science and Strategy

Photo: Handle with care (Source: Flickr/Chanze photo a r t)

PostJanuary 5, 2021

Professor Emeritus Michael Driscoll, leader in nuclear engineering and belo...

MIT Department of Nuclear Science and Engineering

Over many decades, Michael Driscoll had a great deal to do with making the Department of Nuclear Science and Engineering at MIT the collegial, mutually supportive community it remains today.

PostDecember 22, 2020

MIT in the media: 2020 in review

PostDecember 18, 2020

Making smart thermostats more efficient

A diagram from a new paper describing a smart thermostat shows the interaction of weather conditions, control systems, sensors, and learning algorithms to optimize microclimates in buildings.

PostDecember 18, 2020

With campus as a test bed, climate action starts and continues at MIT

MIT Office of Sustainability

MIT has reduced campus emissions by 24 percent over the past five years.

PostDecember 17, 2020

To boost emissions reductions from electric vehicles, know when to charge

MIT Energy Initiative

The time of day when an electric vehicle (EV) is charged can have a large impact on reducing its emissions. In California, home to half of the EVs in the United States, charging at midday reduces EV emissions by more than 40 percent when compared to charging at night.

PostDecember 17, 2020

Want cheaper nuclear energy? Turn the design process into a game

In this AI-designed layout for a boiling water reactor, fuel rods in the assembly are ideally positioned around two fixed water rods to burn more efficiently. MIT researchers ran the equivalent of 36,000 simulations to find the optimal configuration, which could extend the life of the rods in an assembly by about 5 percent, generating $3 million in savings per year if scaled to the full reactor. Colors correspond to varying amounts of uranium and gadolinium oxide in each rod.

PostDecember 16, 2020

A Machine Learning Approach to Evaluating Renewable Energy Technology: An A...

MIT Center for Energy and Environmental Policy Research

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