J-WAFS awards $150K Solutions grant to Patrick Doyle and team for rapid removal of micropollutants from water
The grant will enable pilot-scale water treatment systems to be built and tested using sustainable hydrogel microparticles.
The grant will enable pilot-scale water treatment systems to be built and tested using sustainable hydrogel microparticles.
Students are part of large team that achieved fusion ignition for the first time in a laboratory.
MIT researchers find that changing the pH of a system solves a decades-old problem.
MIT engineers are controlling pore openings for maximum molecule capture.
Made from inexpensive, abundant materials, an aluminum-sulfur battery could provide low-cost backup storage for renewable energy sources.
PhD student Pablo Leon uses machine learning to expedite research on novel battery materials, while helping newer students navigate graduate school.
The device senses and wirelessly transmits signals related to pulse, sweat, and ultraviolet exposure, without bulky chips or batteries.
The materials’ stiffness increases up to 40 percent, in a reversible effect, the researchers report in a study that also explains the phenomenon's atomic origins.
The materials scientist’s research involves the movement of electric charges through solids, which could lead to better-performing fuel cells and batteries.
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes.
Building and working a clay-and-grass furnace, teachers and students learn more than how to turn ore into metal.
An anomaly-detection model developed by SMART utilizes machine learning to quickly detect microbial contamination.
The MIT professor's work could enable long-term storage of renewable energy.
The five-year collaboration aims to accelerate the translation of breakthrough engineering and biology for human health.