Energy & Green Tech
Imagine a psychic telling your parents, on the day you were born, how long you would live. A similar experience is possible for battery chemists who are using new computational models to calculate battery lifetimes based ...
May 6, 2022
0
343
Computer Sciences
Waves break once they swell to a critical height, before cresting and crashing into a spray of droplets and bubbles. These waves can be as large as a surfer's point break and as small as a gentle ripple rolling to shore. ...
Apr 29, 2022
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147
Computer Sciences
High-entropy alloys (HEAs) have desirable physical and chemical properties such as a high tensile strength, and corrosion and oxidation resistance, which make them suitable for a wide range of applications. HEAs are a recent ...
Aug 5, 2021
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994
Engineering
Research led by the University of Liverpool, in partnership with Johnson Matthey PLC and Loughborough University, is making significant progress in the development of stable and practical electrolytes for lithium-oxygen batteries.
May 6, 2021
1
99
Machine learning & AI
An artificial intelligence technique—machine learning—is helping accelerate the development of highly tunable materials known as metal-organic frameworks (MOFs) that have important applications in chemical separations, ...
Nov 10, 2020
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50
Computer Sciences
Researchers from TU Delft have now developed a new model that describes driving behavior on the basis of one underlying human principle: managing the risk below a threshold level. This model can accurately predict human behavior ...
Sep 29, 2020
0
72
Energy & Green Tech
A team led by the Department of Energy's Oak Ridge National Laboratory developed a novel, integrated approach to track energy-transporting ions within an ultra-thin material, which could unlock its energy storage potential ...
Aug 25, 2020
0
105
Energy & Green Tech
Scientists have spent decades searching for a safe alternative to the flammable liquid electrolytes used in lithium-ion batteries.
Dec 15, 2016
0
1304
Hi Tech & Innovation
The result of a new study on the intrinsic dynamics of spatio-temporal processes conducted at the MOX laboratory of the Politecnico di Milano (Department of Mathematics) by Francesco Regazzoni, Stefano Pagani, Matteo Salvador ...
Mar 6, 2024
0
57
Engineering
An international collaboration between EPFL and the University of Glasgow has led to an advanced machine-learning algorithm to effectively detect concealed manufacturing defects in wind turbine composite blades—before turbines ...
Feb 22, 2024
0
30
