David Nutt, Cornell University
Cornell researchers have developed a system of fluid-driven actuators that enable soft robots to achieve more complex motions.
Cornell will be leading one of seven new research centers being funded by the Semiconductor Research Corporation's JUMP 2.0 consortium.
Researchers have discovered a way to switch the magnetization in ferromagnets, which could lead to more energy-efficient magnetic memory devices.
Cornell researchers are training physical systems to perform machine-learning computations such as identifying handwritten numbers and spoken vowel sounds.
A Cornell University team has created cell-size robots that can be powered and steered by ultrasound waves, which could be used for targeted drug delivery and other sensitive applications.
Aluminum-anode batteries are safer, less expensive and more sustainable than lithium-ion batteries.
A fiber-optic sensor that combines low-cost LEDs and dyes has been created by Cornell researchers, which results in a stretchable “skin” that detects deformations such as pressure, bending and strain.
Cornell researchers who build nanoscale electronics have developed microsensors that are equipped with an integrated circuit, solar cells and LEDs that enable them to harness light for power and communication.
Cornell researchers have created a soft robot muscle that can regulate its temperature through sweating, which can enable high-powered robots to operate for long periods of time without overheating.
Cornell University researchers have found a way to build a zinc-anode battery that not has a high energy density, is cheap, robust, and stable, and has a life cycle that can be prolonged.