MIT team takes a major step toward fully 3D-printed active electronics
By fabricating semiconductor-free logic gates, which can be used to perform computation, researchers hope to streamline the manufacture of electronics.
By fabricating semiconductor-free logic gates, which can be used to perform computation, researchers hope to streamline the manufacture of electronics.
The devices could be a useful tool for biomedical research, and possible clinical use in the future.
Labs that can’t afford expensive super-resolution microscopes could use a new expansion technique to image nanoscale structures inside cells.
By using a 3D printer like an iron, researchers can precisely control the color, shade, and texture of fabricated objects, using only one material.
A research scientist and internationally recognized authority in the field of blood cell development reflects on 45 years at MIT.
Collaborative multi-university team will pursue new AI-enhanced design tools and high-throughput testing methods for next-generation turbomachinery.
A new study of bubbles on electrode surfaces could help improve the efficiency of electrochemical processes that produce fuels, chemicals, and materials.
Because it doesn’t need expensive energy storage for times without sunshine, the technology could provide communities with drinking water at low costs.
After an illustrious career at Idaho National Laboratory spanning three decades, Curtis Smith is now sharing his expertise in risk analysis and management with future generations of engineers at MIT.
Study reveals the drug, 5-fluorouracil, acts differently in different types of cancer — a finding that could help researchers design better drug combinations.
Associate Professor Julian Shun develops high-performance algorithms and frameworks for large-scale graph processing.
Advisors commended for providing exceptional individualized mentoring for postdocs.
MIT’s innovation and entrepreneurship system helps launch water, food, and ag startups with social and economic benefits.
Anthropologists Manduhai Buyandelger and Lauren Bonilla discuss the humanistic perspective they bring to a project that is yielding promising results.
MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy.