Artificial intelligence (AI) has the potential to transform technologies as diverse as solar panels, in-body medical sensors and self-driving vehicles. But these applications are already pushing today's computers to their ...
Nanomaterials
Mar 4, 2024
0
48
Researchers at the University of Chicago's Pritzker School of Molecular Engineering (PME), Argonne National Laboratory, and the University of Modena and Reggio Emilia have developed a new computational tool to describe how ...
Condensed Matter
Dec 21, 2023
0
94
Researchers led by Prof. Zhou Wu from the University of Chinese Academy of Sciences (UCAS) and Prof. Sokrates T. Pantelides of Vanderbilt University have pushed the sensitivity of single-atom vibrational spectroscopy to the ...
Analytical Chemistry
Mar 21, 2023
0
168
Neuromorphic devices—which emulate the decision-making processes of the human brain—show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers ...
General Physics
Jan 11, 2022
0
85
Often admired for their flawless appearance to the naked eye, crystals can have defects at the nanometer scale, and these imperfections may affect the thermal and heat transport properties of crystalline materials used in ...
Condensed Matter
Jan 12, 2021
0
35
On April 14th, Prof. Ma Cheng from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS) and his colleagues reported an important discovery regarding the mechanism of Li-ion migration ...
Nanophysics
Apr 17, 2020
0
3
A research team has reported seeing, for the first time, atomic scale defects that dictate the properties of a new and powerful semiconductor.
Condensed Matter
Dec 5, 2019
0
5
Specific changes in the composition of kesterite-type semiconductors make it possible to improve their suitability as absorber layers in solar cells. As a team at the Helmholtz-Zentrum Berlin showed, this is particularly ...
Materials Science
Mar 30, 2018
0
21
Quantum mechanics, the physics that governs nature at the atomic and subatomic scale, contains a host of new physical phenomena to explore quantum states at the nanoscale. Though tricky, there are ways to exploit these inherently ...
Nanophysics
Feb 14, 2017
0
30
For the first time, researchers at the Lawrence Berkeley National Laboratory (Berkeley Lab) have built and trained machine learning algorithms to predict defect behavior in certain intermetallic compounds with high accuracy. ...
Condensed Matter
Feb 6, 2017
0
134
