A team of researchers led by the University of Massachusetts Amherst has drawn inspiration from a wide variety of natural geometric motifs—including those of 12-sided dice and potato chips—in order to extend a set of well-known design principles to an entirely new class of spongy materials that can self-assemble into precisely controllable structures.
Now Princeton researchers have sparked new life into static. Using millions of hours of computational time to run detailed simulations, the researchers found a way to describe static charge atom-by-atom with the mathematics of heat and work. Their paper appeared in Nature Communications on March 23.
The study looked specifically at how charge moves between materials that do not allow the free flow of electrons, called insulating materials, such as vinyl and acrylic. The researchers said there is no established view on what mechanisms drive these jolts, despite the ubiquity of static: the crackle and pop of clothes pulled from a dryer, packing peanuts that cling to a box.
“We know it’s not electrons,” said Mike Webb, assistant professor of chemical and biological engineering, who led the study. “What is it?”
China’s brain-computer interface technology is catching up to the US. But it envisions a very different use case: cognitive enhancement.
Computer simulations by astronomers support the idea that dark matter—matter that no one has yet directly detected but which many physicists think must be there to explain several aspects of the observable universe—exists, according to the researchers, who include those at the University of California, Irvine.
In this Tools of the Trade article, Samuel Gould explains how prime editing sensors can improve experimental efficiency and can be designed using a computational tool he created and named PEGG.
Download Opera for free using https://opr.as/Opera-browser-anastasiintech Thanks Opera for sponsoring this video!Timestamps:00:00 — Intro00:52 — Computing w…
Molecular computer components could represent a new IT revolution and help us create cheaper, faster, smaller, and more powerful computers. Yet researchers struggle to find ways to assemble them more reliably and efficiently.
To help achieve this, scientists from the Institute of Physics of the Czech Academy of Sciences investigated the possibilities of molecular machine self-assembly building upon solutions honed by natural evolution and using synergy with current chip manufacturing.
There is a limit to the miniaturization of current silicon-based computer chips. Molecular electronics, using single-molecule-sized switches and memories, could provide a revolution in the size, speed and capabilities of computers while cutting down on their increasing power consumption, but their mass production is a challenge. Large-scale, low-defect, accessible nanofabrication and assembly of the components remains elusive. Inspiration taken from living nature could change this status quo.
Adam Shaw (Caltech)https://simons.berkeley.edu/talks/adam-shaw-caltech-2024-04-23Near-Term Quantum Computers: Fault Tolerance + Benchmarking + Quantum Advant…
Researchers at Aalto University were looking for better ways to instruct dance choreography in virtual reality. The new WAVE technique they developed will be presented in May at the CHI conference for human-computer interaction research.
Previous techniques have largely relied on pre-rehearsal and simplification.
“In virtual reality, it is difficult to visualize and communicate how a dancer should move. The human body is so multi-dimensional, and it is difficult to take in rich data in real-time,” says Professor Perttu Hämäläinen.
