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A washable, flexible garment integrates thousands of microchips into touch-sensitive fibers, creating a wearable screen that displays videos, responds to touch and connects wirelessly to devices.
AI-assisted simulations rapidly identify promising woven structures for sound absorption, dramatically reducing the need to test countless textile patterns individually.
A bio-inspired tactile system stops a robot locally within 2.2 milliseconds, then classifies the contact to decide whether the stop should remain engaged.
Tiny holes in silicon slow down light, enabling a compact optical modulator to transmit data at up to 200 Gb/s while dramatically reducing energy consumption.
Researchers develop 3D-printed nanoscale color routers that direct light to individual sensor pixels instead of absorbing it, enabling sharper, brighter images with shorter exposures in low-light conditions.
A transistor alternative that uses coupled magnetic and sound waves to process information could potentially enable computers that operate faster and consume far less energy.
Light and low voltage reprogram native defects in a simple photodetector, creating persistent positive and negative responses that could move image processing closer to the sensor.
Copper-binding peptide GHK-Cu helps researchers study metal coordination, molecular characterization, and potential applications in biotechnology and materials.
An AI design system that relearns as it searches finds nano architectures 18 to 23 percent stiffer than comparable designs missed by a fixed model.
New research can help AI models understand crystalline materials in 3D and reason about their properties.
An AI-assisted robotic laboratory automates the entire metal research workflow, from heat treatment to structural analysis and mechanical testing, advancing autonomous materials discovery.
By encoding two layers of information into synthetic molecules, researchers controlled their self-assembly into a specific triple helix while suppressing competing molecular structures.
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