'Don't scare the cat!' Engineers find smarter way to measure quantum systems
UNSW Sydney engineers have riffed on the famous Schrödinger's cat analogy to demonstrate a more efficient way to eliminate errors in quantum computing.
UNSW Sydney engineers have riffed on the famous Schrödinger's cat analogy to demonstrate a more efficient way to eliminate errors in quantum computing.
For more than half a century, materials scientists have struggled with how to simulate the complexity of polymer materials. An individual chain can comprise tens of thousands of atoms, a melt or composite contains billions, ...
Protein language models are artificial intelligence tools which help engineer proteins with useful properties, including completely new structures never seen before in nature.
Modern biology is awash in data. Scientists can sequence DNA, track gene activity cell-by-cell, map proteins in space, and image tissues at microscopic resolution. However, it is a struggle to put all that information together ...
Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way large language models like ChatGPT read text. Scanning the genome for biological mutation patterns, ...
Penn Engineers have developed a new way to use AI to solve inverse partial differential equations (PDEs), a particularly challenging class of mathematical problems with broad implications for understanding the natural world.
Imagine that a government builds a five-star airport without any roads leading to it. The terminal is immaculate, the runway is regulation length—but there is simply no way to get there.
Chemists and computer scientists tapped AI to find new disinfectants to combat the growing threat of dangerous "superbugs." Their computational-experimental framework for developing quaternary ammonium compounds, or QACs, ...
From wearable technology to industrial heat recovery, thermoelectric generators which convert waste heat into electricity have an enormous range of potential applications. So far, however, designing high-performing versions ...
Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science. Classical machine learning approaches to molecular dynamics (MD) encode fundamental physical principles ...