Mathematical framework connects biological principles to manufacturable, adaptive materials
The new framework could streamline the design process of robotic grippers or aerospace components that exhibit complex behaviors found in nature.
The new framework could streamline the design process of robotic grippers or aerospace components that exhibit complex behaviors found in nature.
The Materials Research Science and Engineering Center unites researchers across disciplines to develop technologies for medical imaging, sustainable metals production, and next-generation electronics.
The study could help scientists understand how superconductivity and other more complex phenomena emerge in quantum materials.
MIT researchers can now precisely measure how heat moves through multilayered materials like computer chips.
A new technique produces wafer-scale samples, overcoming a major roadblock to using these materials in quantum technologies.
By focusing on electrolytes, MIT scientists are making sodium-metal batteries a more practical energy storage option.
A new fabrication platform integrates molecules into electronic devices, opening the door to emerging computing technologies.
Melt it, spin it, use it again. This new recyclable yarn is as strong and stretchy as spandex-based yarns.
The PhD candidate builds soft bioelectronic technologies to decode signals between the brain and the rest of the body.
The tunable device controls mid-infrared light for more precise thermal imaging, chemical sensing, or pollution monitoring.
Researchers found a simple solution for extending the lifespans of LEDs made from glowing microscopic particles called quantum dots.
The new aerated material could enable longer-lasting bandages, implants, and wearable sensors.
New research could help prevent the formation of tiny seeds of lithium metal within the electrolyte, enabling batteries that charge faster and last longer.
MIT researchers developed an approach for generating more buildable structures, bridging the gap between optimized design and real-world construction.
MIT researchers’ approach captures subtle atomic patterns, improving predictions of material properties.