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PostAugust 23, 2023

How new batteries could help your EV charge faster

MIT Technology Review

CATL's new Shenxing batteries could speed EV charging.

PostAugust 23, 2023

Making aviation fuel from biomass

MIT Energy Initiative

Professor Yuriy Román-Leshkov and collaborators have demonstrated a new way to produce a critical component of aviation fuel from lignin, a plant material that’s generally discarded as waste during biomass processing.

PostAugust 22, 2023

Why salt marshes could help save Venice

MIT Technology Review

surveying Venice's central lagoon

PostAugust 21, 2023

Q&A: Steven Gonzalez on Indigenous futurist science fiction

MIT School of Humanities, Arts, and Social Sciences

MIT HASTS PhD candidate Steven Gonzalez, who writes under the name E.G. Condé, has published his first book, "Sordidez.”

PostAugust 21, 2023

The ice cores that will let us look 1.5 million years into the past

MIT Technology Review

PostAugust 18, 2023

MIT at the 2023 Venice Biennale

Department of Urban Studies and Planning MIT

The 2023 biennale features work by many MIT faculty, students, and alumni, including "The BLACK City Astrolabe: A Constellation of African Diasporic Women" (detail), by Andrea Avezzù.

PostAugust 18, 2023

This startup has engineered a clever way to reuse waste heat from cloud com...

MIT Technology Review

PostAugust 18, 2023

Alumnus’ thermal battery helps industry eliminate fossil fuels

Antora Energy is addressing the intermittent nature of wind and solar with a low-cost, highly efficient thermal battery that stores electricity as heat to allow manufacturers and other energy-hungry businesses to eliminate their use of fossil fuels.

PostAugust 17, 2023

Bianca Champenois SM ’22 Helps Model the Future for Coastal Industries

Aerial photograph of an ocean wave crashing

PostAugust 17, 2023

To improve solar and other clean energy tech, look beyond hardware

A new analysis from MIT researchers reveals that soft technology, the processes to design and deploy a solar energy system, contributed far less to the total cost declines of solar installations than previously estimated. Their quantitative model shows that driving down solar energy costs in the future will likely require either improving soft technology or reducing system dependencies on soft technology features.

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