New prediction model could improve the reliability of fusion power plants
The approach combines physics and machine learning to avoid damaging disruptions when powering down tokamak fusion machines.
Printable aluminum alloy sets strength records, may enable lighter aircraft parts
Incorporating machine learning, MIT engineers developed a way to 3D print alloys that are much stronger than conventionally manufactured versions.
AI maps how a new antibiotic targets gut bacteria
MIT CSAIL and McMaster researchers used a generative AI model to reveal how a narrow-spectrum antibiotic attacks disease-causing bacteria, speeding up a process that normally takes years.
Secretary of Energy Chris Wright ’85 visits MIT
Panel discussions focused on innovation in many forms of energy, then a tour of campus featured student research.
A simple formula could guide the design of faster-charging, longer-lasting batteries
MIT researchers developed a model that explains lithium intercalation rates in lithium-ion batteries.
Accounting for uncertainty to help engineers design complex systems
The approach could enable autonomous vehicles, commercial aircraft, or transportation networks that are more reliable in the face of real-world unpredictability.
Concrete “battery” developed at MIT now packs 10 times the power
Improved carbon-cement supercapacitors could turn the concrete around us into massive energy storage systems.
Palladium filters could enable cheaper, more efficient generation of hydrogen fuel
The novel design allows the membranes to withstand high temperatures when separating hydrogen from gas mixtures.
System lets people personalize online social spaces while staying connected with others
By enabling users to easily create social apps that serve communities’ needs, the Graffiti framework aims to promote healthier online interactions.
3 Questions: How a new mission to Uranus could be just around the corner
PhD student Chloe Gentgen discusses why the ice giant is such a high-priority solar system target, and how the Starship launch vehicle may hasten our explorations there.
Responding to the climate impact of generative AI
Explosive growth of AI data centers is expected to increase greenhouse gas emissions. Researchers are now seeking solutions to reduce these environmental harms.
Teamwork in motion
Friendly competition and a love of spreadsheets helped get Aero and Astro running teams over the finish line at Ragnar Reach the Beach.
AI system learns from many types of scientific information and runs experiments to discover new materials
The new “CRESt” platform could help find solutions to real-world energy problems that have plagued the materials science and engineering community for decades.
Study shows mucus contains molecules that block Salmonella infection
MIT researchers now hope to develop synthetic versions of these molecules, which could be used to treat or prevent foodborne illnesses.
New AI system could accelerate clinical research
By enabling rapid annotation of areas of interest in medical images, the tool can help scientists study new treatments or map disease progression.