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We Are MechE at MIT

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Digital Instruments for Musical Togetherness

David Trumper

Professor

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Late Summer Listening

Podcasts and audio stories offer a great way to learn about big ideas from MIT

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Decarbonizing the Diesel Engine

Merging AI and underwater photography to reveal hidden ocean worlds

Have a damaged painting? Restore it in just hours with an AI-generated “mask”

Photo Gallery: Student Awards Luncheon 2022

Faculty Feature: Gene Delivery Technique Combines Microfluidics With Electric Shock

Hermano Igo Krebs

Principal Research Scientist

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Linda Griffith

Professor

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Adhesive inspired by hitchhiking sucker fish sticks to soft surfaces underwater

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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June 3, 2026 Developing innovative alternatives to conventional carbon capture methods

Developing innovative alternatives to conventional carbon capture methods

June 1, 2026 Ambassadors of STEM

Ambassadors of STEM

June 1, 2026 Ultrasound-based pacemaker noninvasively steadies the heart

Ultrasound-based pacemaker noninvasively steadies the heart

May 25, 2026 Ten from MIT accept 2026 Fulbright awards

Ten from MIT accept 2026 Fulbright awards

May 25, 2026 Bridging real human movement with digital technology

Bridging real human movement with digital technology

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Sealing Wounds with Tape

MIT engineers led by Associate Professor Xuanhe Zhao have designed a double-sided tape that can seal tissues in just five seconds. The tape could eventually replace surgical sutures, which don’t work well in all tissues and can cause complications in some patients.

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MIT Robot Learns How to Play Jenga

Using machine-learning and sensory hardware, Alberto Rodriguez, assistant professor of mechanical engineering and members of MIT's MCube lab, have developed a robot that is learning how to play the game Jenga®. The technology could be used in robots for manufacturing assembly lines.

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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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