MIT researchers to lead a new center for continuous mRNA manufacturing
A pilot-scale system, enabled by an $82 million award from the FDA, aims to accelerate the development and production of mRNA technologies.
A pilot-scale system, enabled by an $82 million award from the FDA, aims to accelerate the development and production of mRNA technologies.
A new computational method facilitates the dense placement of objects inside a rigid container.
MIT Morningside Academy for Design Fellow Ganit Goldstein SM ’23 combines traditional craftsmanship and technology to transform the way clothes are produced and worn.
Experts from industry, academia, government, and nonprofits explored the future of manufacturing at the second annual Manufacturing@MIT Symposium.
MIT Mobility Forum considers whether startups can provide the infrastructure for electric vehicles, or if more automakers must step in.
FlexBoard is a flexible breadboard that enables rapid prototyping of objects with interactive sensors, actuators, and displays on curved and deformable surfaces.
A leader in manufacturing science and technology, Hart SM ’02, PhD ’06 will become department head effective July 1.
Jeff Wilke SM '93, former CEO of Amazon’s Worldwide Consumer business, brings his LGO playbook to his new mission of revitalizing manufacturing in the U.S.
A collaborative research team from the MIT-Takeda Program combined physics and machine learning to characterize rough particle surfaces in pharmaceutical pills and powders.
SoftZoo is a soft robot co-design platform that can test optimal shapes and sizes for robotic performance in different environments.
U.S. Department of Energy selects MIT to establish collaborative research center for optimizing the development of tandem solar modules.
In a new book, the founder of MIT’s Center for Transportation and Logistics examines how increasingly automated industries can sustain jobs.
A modeling framework developed at MIT can help speed the development of flow batteries for large-scale, long-duration electricity storage on the future grid.
“DribbleBot” can maneuver a soccer ball on landscapes such as sand, gravel, mud, and snow, using reinforcement learning to adapt to varying ball dynamics.