Building better batteries, faster
PhD student Pablo Leon uses machine learning to expedite research on novel battery materials, while helping newer students navigate graduate school.
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 scientist’s research involves the movement of electric charges through solids, which could lead to better-performing fuel cells and batteries.
Engineers 3D print materials with networks of sensors directly incorporated.
More complete than existing methods, the new approach might enable longer operational lifetimes for nuclear reactors.
The technique opens a door to manufacturing of pressure-monitoring bandages, shade-shifting fabrics, or touch-sensing robots.
The chemistry professor embraces the most challenging moments of her work to design molecules for quantum information science.
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
Cheap and quick to produce, these digitally manufactured plasma sensors could help scientists predict the weather or study climate change.
Single-shot spectroscopy techniques provide researchers with a new understanding of a mysterious light-driven process.
Researchers have found a material that can perform much better than silicon. The next step is finding practical and economic ways to make it.
This family of crystalline compounds is at the forefront of research seeking alternatives to silicon.
New results from researchers at MIT reveal an unexpected feature of atomic nuclei when a “magic” number of neutrons is reached.
Systems used in many industries could save energy through these new surface treatments.
Building and working a clay-and-grass furnace, teachers and students learn more than how to turn ore into metal.