Extremely small arrays of magnets with strange and unusual properties can order themselves by increasing entropy, or the tendency of physical systems to disorder, a behavior that appears to contradict standard thermodynamics—but ...
Nanophysics
Apr 8, 2022
2
58
New research artificially creating a rare form of matter known as spin glass could spark a new paradigm in artificial intelligence by allowing algorithms to be directly printed as physical hardware. The unusual properties ...
Condensed Matter
Mar 28, 2022
0
520
New computer models and simulations from Los Alamos National Laboratory are showing researchers how the virus that causes COVID-19 manages to use its spike protein to fuse with and infect human cells. To be presented at the ...
Biochemistry
Mar 7, 2022
0
462
If a coffee cup fails to survive an unexpected engagement with gravity, its replacement is just a few dollars away. But not all ceramics or metals can afford to fail—the precision components inside a nuclear reactor, the ...
Materials Science
Mar 3, 2022
0
8
The field of machine learning on quantum computers got a boost from new research removing a potential roadblock to the practical implementation of quantum neural networks. While theorists had previously believed an exponentially ...
Quantum Physics
Feb 24, 2022
0
1001
Perovskite materials are low-cost, solution-processable semiconductors that can absorb and convert solar energy with extraordinarily high efficiencies, making them promising material for use in applications such as photovoltaic ...
Materials Science
Feb 10, 2022
0
140
Protective coatings are common for many things in daily life that see a lot of use. We coat wood floors with finish; apply Teflon to the paint on cars; even use diamond coatings on medical devices. Protective coatings are ...
Materials Science
Jan 25, 2022
0
228
As the discovery of the new omicron variant illustrates, new COVID-19 variants will continue to regularly emerge. In an effort to make sense of these new variants, scientists at Los Alamos National Laboratory have developed ...
Molecular & Computational biology
Dec 22, 2021
0
493
A machine-learning approach developed for sparse data reliably predicts fault slip in laboratory earthquakes and could be key to predicting fault slip and potentially earthquakes in the field. The research by a Los Alamos ...
Earth Sciences
Dec 17, 2021
0
84
Recent theoretical breakthroughs have settled two long-standing questions about the viability of simulating quantum systems on future quantum computers, overcoming challenges from complexity analyses to enable more advanced ...
Quantum Physics
Dec 8, 2021
0
594
