Energy & Green Tech
With the rise in renewable energy as well as increasing uncertainty associated with outages due to power surges and extreme weather events, energy storage plays a key role in ensuring reliable power supply to critical infrastructure ...
May 11, 2022
0
254
Computer Sciences
Modern machine-learning models, such as neural networks, are often referred to as "black boxes" because they are so complex that even the researchers who design them can't fully understand how they make predictions.
May 5, 2022
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167
Computer Sciences
Despite the fundamental role networks play in how scientists understand the dynamics and properties of complex systems, reconstructing networks from large-scale experimental data is a challenge.
Jan 11, 2022
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69
Engineering
Alberta's world renown in carbon capture and sequestration is set to receive another lift thanks to the promise of a material invented and tested in the province that offers an efficient way to pull carbon dioxide out of ...
Dec 17, 2021
1
119
Engineering
Will it be possible to design materials that are unfazed by extreme temperatures in the near future?
Apr 15, 2021
0
61
Energy & Green Tech
Researchers from the University establish a new methodology to improve, from space and through machine learning, the observation and analysis of the terrestrial biosphere. This statistical approach will represent a significant ...
Mar 1, 2021
0
157
Computer Sciences
New research led by researchers at the University of Toronto (U of T) and Northwestern University employs machine learning to craft the best building blocks in the assembly of framework materials for use in a targeted application.
Jan 12, 2021
0
288
Electronics & Semiconductors
Hydrogen gas and methanol for fuel cells, or as raw materials for the chemicals industry, for example, could be produced more sustainably using sunlight, a new Uppsala University study shows. In this study, researchers have ...
Nov 18, 2020
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222
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
0
50
Electronics & Semiconductors
Carefully designed covalent organic frameworks could make supercapacitor electrodes that have a greater ability to store electric charge.
Nov 2, 2020
0
176
