Artificial intelligence meets “blisk” in new DARPA-funded collaboration
Collaborative multi-university team will pursue new AI-enhanced design tools and high-throughput testing methods for next-generation turbomachinery.
Bubble findings could unlock better electrode and electrolyzer designs
A new study of bubbles on electrode surfaces could help improve the efficiency of electrochemical processes that produce fuels, chemicals, and materials.
Solar-powered desalination system requires no extra batteries
Because it doesn’t need expensive energy storage for times without sunshine, the technology could provide communities with drinking water at low costs.
Teen uses pharmacology learned through MIT OpenCourseWare to extract and study medicinal properties of plants
Inspired by traditional medicine, 17-year-old Tomás Orellana is on a mission to identify plants that can help treat students’ health issues.
Applying risk and reliability analysis across industries
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.
Cancer biologists discover a new mechanism for an old drug
Study reveals the drug, 5-fluorouracil, acts differently in different types of cancer — a finding that could help researchers design better drug combinations.
Laura Lewis and Jing Kong receive postdoctoral mentoring award
Advisors commended for providing exceptional individualized mentoring for postdocs.
Translating MIT research into real-world results
MIT’s innovation and entrepreneurship system helps launch water, food, and ag startups with social and economic benefits.
3 Questions: Bridging anthropology and engineering for clean energy in Mongolia
Anthropologists Manduhai Buyandelger and Lauren Bonilla discuss the humanistic perspective they bring to a project that is yielding promising results.
How AI is improving simulations with smarter sampling techniques
MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy.