By fine-tuning the spin density in some materials, researchers may be able to develop new quantum sensors or quantum simulations.

With a new, user-friendly interface, researchers can quickly design many cellular metamaterial structures that have unique mechanical properties.

Made of cement, carbon black, and water, the device could provide cheap and scalable energy storage for renewable energy sources.

“PhotoGuard,” developed by MIT CSAIL researchers, prevents unauthorized image manipulation, safeguarding authenticity in the era of advanced generative models.

MIT researchers find timing and dosage of DNA-damaging drugs are key to whether a cancer cell dies or enters senescence.

Researchers develop a machine-learning technique that can efficiently learn to control a robot, leading to better performance with fewer data.

Researchers discover how to control the anomalous Hall effect and Berry curvature to create flexible quantum magnets for use in computers, robotics, and sensors.

Ultrasound research specialist and 2023 MIT Excellence Award winner Nicole Henning adapts ultrasound technology for more sensitive, less invasive imaging for disease modeling.

The device detects the same molecules that cell receptors do, and may enable routine early screening for cancers and other diseases.

A new technique helps a nontechnical user understand why a robot failed, and then fine-tune it with minimal effort to perform a task effectively.