Studying floods to better predict their dangers
A fourth-generation civil engineer, graduate student Katerina Boukin researches the growing yet misunderstood threat of pluvial flooding, including flash floods.
A fourth-generation civil engineer, graduate student Katerina Boukin researches the growing yet misunderstood threat of pluvial flooding, including flash floods.
Simple microparticles can beat rhythmically together, generating an oscillating electrical current that could be used to power microrobotic devices.
At luncheon, Vice President for Research Maria Zuber and others express appreciation for the Institute’s postdoctoral researchers; new postdoc mentoring award debuts.
At an exhibition marking two decades since a transformative gift from the Picower Foundation, current and alumni members described research at the forefront of neuroscience and beyond.
A system for monitoring motion and muscle engagement could aid the elderly and athletes during unsupervised physical rehabilitation for injuries or impaired mobility.
The technique could be used to fabricate computer chips that won’t get too hot while operating, or materials that can convert waste heat to energy.
With only a little information, researchers can predict the circumstances under which an ecosystem will be stable or unstable.
Greater availability of de-identified patient health data would enable better treatments and diagnostics, the researchers say.
Amelia Trainer’s work is fundamental to understanding how nuclear reactors operate. A passion for computer modeling and poetry have stood her in good stead through her research career.
The stars circle each other every 51 minutes, confirming a decades-old prediction.
The ceramic-based material could be used for highly efficient actuators for aircraft or other uses, with minimal moving parts.
Awards support high-risk, high-impact research from early-career investigators.
Study indicates ailing neurons may instigate an inflammatory response from the brain’s microglia immune cells.
A new study maps the genes and cellular pathways that contribute to exercise-induced weight loss.
A new technique enables AI models to continually learn from new data on intelligent edge devices like smartphones and sensors, reducing energy costs and privacy risks.