Surprise! Weaker bonds can make polymers stronger
By adding weak linkers to a polymer network, chemists dramatically enhanced the material’s resistance to tearing.
By adding weak linkers to a polymer network, chemists dramatically enhanced the material’s resistance to tearing.
The device emits a stream of single photons and could provide a basis for optical quantum computers.
By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds.
Now a global community of builders of all skill levels and backgrounds, the fab lab network grew from a single maker facility at MIT.
The next run will be the most sensitive search yet for gravitational waves.
Researchers create a new simulation tool for robots to manipulate complex fluids in a step toward helping them more effortlessly assist with daily tasks.
By mapping the volumes of objects, rather than their surfaces, a new technique could yield solutions to computer graphics problems in animation and CAD.
A new way of machining microscale rotors from diamond crystal can enable ultrasensitive NMR devices for probing proteins and other materials.
The approach could improve the performance of many other materials as well.
A new machine-learning model makes more accurate predictions about ocean currents, which could help with tracking plastic pollution and oil spills, and aid in search and rescue.
A perovskite-based device that combines aspects of electronics and photonics may open doors to new kinds of computer chips or quantum qubits.
The method could enable a rapid test to determine whether individuals are producing antibodies that help protect against Covid-19.
A new computer vision system turns any shiny object into a camera of sorts, enabling an observer to see around corners or beyond obstructions.
MIT’s Science Policy Initiative sends students and postdocs to Capitol Hill to advocate for continued and increased federal support for scientific research.
Researchers identify a property that helps computer vision models learn to represent the visual world in a more stable, predictable way.