Using AI to discover stiff and tough microstructures
Innovative AI system from MIT CSAIL melds simulations and physical testing to forge materials with newfound durability and flexibility for diverse engineering uses.
Innovative AI system from MIT CSAIL melds simulations and physical testing to forge materials with newfound durability and flexibility for diverse engineering uses.
At the ASM Materials Education Foundation’s 2023 Undergraduate Design Competition, seniors Louise Anderfaas and Darsh Grewal design a super-strong aluminum plate for applications such as planes and cars.
Longtime professor helped develop the Department of Mechanical Engineering’s design and manufacturing curriculum, contributed to artificial joints as well as NASA inertial guidance systems.
Their new technique can produce furniture-sized aluminum parts in only minutes.
Atacama Biomaterials, co-founded by Paloma Gonzalez-Rojas SM ’15, PhD ’21, combines architecture, machine learning, and chemical engineering to create eco-friendly materials.
Developed by MIT engineers, the model could be a tool for designers looking to innovate in sneaker design.
Pedro Reynolds-Cuéllar, a doctoral candidate in media arts and sciences and a MAD Design Fellow, researches how technology and tradition intersect in rural spaces, particularly in Colombia.
An MIT panel charts how artificial intelligence will impact art and design.
Six teams of mechanical engineering students pitched “wild” products during the annual capstone course prototype launch event.
Randall Briggs ’09, SM ’18 created the GardenByte indoor herb garden to grow crops three times faster than they would outdoors.
This unique lab uses games as a way for students to play, explore, and learn to think critically about the role of games in society.
Coauthors of a “Footwear Manifesto” report discuss survey findings that point to industry collaboration as a path to reducing waste in shoe manufacturing.
The low-cost FibeRobo, which is compatible with existing textile manufacturing techniques, could be used in adaptive performance wear or compression garments.
AI models that prioritize similarity falter when asked to design something completely new.
StructCode, developed by MIT CSAIL researchers, encodes machine-readable data in laser-cut objects by modifying their fabrication features.