Controlling the probability of a series of seemingly random events is the key to mimicking the human brain to optimize neuromorphic learning.

Controlling the probability of a series of seemingly random events is the key to mimicking the human brain to optimize neuromorphic learning.
Researchers at UT Austin hope their computer model of COVID-19 can help other scientists in developing new drugs against the virus.
Researchers at Osaka University are helping to power portable sensors that do not use batteries by generating electricity from heat that is otherwise wasted.
A new, flexible, and self-powered sensor made by magnetoelectric materials can convert mechanical stimuli to electrical signals for robots with a “soft touch”.
Computational screens allow researchers to efficiently determine how different elemental combinations can alter material properties to quickly identify 2D materials for next generation battery anodes.
Researchers tune the properties of a known semiconducting material so that it behaves like a metal, with some superconducting behavior, for more efficient electronic devices.
Electrospinning is an emerging fabrication technology that holds great promise in advancing skin tissue engineering and in developing an array of novel therapies.
A new route to synthesize plastics not only moves away from fossil fuels but enhances the likelihood of recycling.
Researchers fabricate a highly selective ZIF‐8 gas separation membrane.
Today’s green chemistry technologies open the route to a broader and richer economy for lemons, well beyond the fresh fruit and fruit juice markets.