A hybrid computer uses rotating mechanical beams for memory and electrical contacts for logic, performing reprogrammable computation through physical motion in environments where conventional ...
A review on nano-architected mechanical metamaterials reveals how nanoscale geometry transforms material properties for ...
Precise electrical stimulation is essential for modern neural interfaces, but unwanted current spread often activates ...
Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.
One of the most striking outcomes of the surface-minimization framework is its ability to explain structural features that ...
JIANGSU, ZHENJIANG, CHINA, January 23, 2026 /EINPresswire.com/ -- As the global industrial community initiates its ...
Achieving precise and predictable motion remains a persistent challenge for microelectromechanical systems (MEMS), where many actuators respond ...
UCLA chemists proved that some of chemistry’s oldest rules can be broken—and new molecules emerge when they are.
Abstract: This paper investigates practical finite-time contraction (PFTC) for impulsive systems with application to design of impulsive control for PFTC. The PFTC notions including practical ...
Abstract: In this article, we revisit finite-time stochastic integral input-to-state stability (FT-SiISS) and gives its further applications. Its contributions are two-fold: first, FT-SiISS is further ...
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