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How artificial intelligence can help achieve a clean energy future

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Water is Life

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Wai Cheng

Professor

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School of Engineering welcomes new faculty in 2024-25

MIT Blackjack Team Shares Tips, Stories

QS World University Rankings has placed MIT in the No. 1 spot in 11 subject areas for 2025, including MechE

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Drug injection device wins MIT $100K Competition

Photo Gallery: Visualizing MechE Research: Scientific Photos by Felice Frankel

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MIT gears up to transform manufacturing

Raphael Zufferey

Assistant Professor

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Loza Tadesse

Assistant Professor

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A smarter way for large language models to think about hard problems

Prof. Anand presents major advances in coupled theories for large-deformation solid mechanics in his new book.

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Major News Announcements from MechE

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March 4, 2026 The Future of Solid Mechanics

The Future of Solid Mechanics

March 3, 2026 How some skills become second nature

How some skills become second nature

March 3, 2026 A “ChatGPT for spreadsheets” helps solve difficult engineering challenges faster

A “ChatGPT for spreadsheets” helps solve difficult engineering challenges faster

February 26, 2026 MIT-Royalty Pharma Faculty Founder Initiative supports biotech innovators

MIT-Royalty Pharma Faculty Founder Initiative supports biotech innovators

February 25, 2026 Tackling industry’s burdensome bubble problem

Tackling industry’s burdensome bubble problem

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Next Generation Electronics

Jeehwan Kim, associate professor of mechanical engineering at MIT, is using his background in materials science to build a physical neural network and produce cheap semiconductor wafers – technologies that could help bring the artificial intelligence power of super computers to handheld devices.

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Learning Through Creation

Class 2.00a, Fundamentals of Engineering Design: Explore Space, Sea and Earth, empowers first-year students to build machines early in their academic careers at MIT.

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Sangbae Kim: Inspired by Nature

Associate Professor Sangbae Kim describes his cutting-edge research in the area of biomimetics, the study of biological systems as models for the design and engineering of robots.

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