Feb
6
AI Isn’t All Bad – Its Great For Manufacturing Solar Cells
February 6, 2024 | Leave a Comment
Open Image…Save ImageOpen Image (using #TmpD/ia)… Karlsruher Institut für Technologie (KIT) researchers and of two Helmholtz platforms – Helmholtz Imaging at the German Cancer Research Center (DKFZ) and Helmholtz AI -have succeeded in finding a way to predict the quality of the perovskite layers and consequently that of the resulting solar cells when assisted by machine learning. The new methods […]
Jan
24
Using Machine Learning To Discover New Fuel Cell Materials
January 24, 2024 | Leave a Comment
Researchers at Kyushu University, in collaboration with Osaka University and the Fine Ceramics Center, have developed a framework that uses machine learning to speed up the discovery of materials for green energy technology. Using the new approach, the researchers identified and successfully synthesized two new candidate materials for use in solid oxide fuel cells – […]
Nov
9
Superfast Method Makes High Performance Thermoelectrics
November 9, 2022 | Leave a Comment
Open Image…Save ImageOpen Image (using #TmpD/ia)… University of Notre Dame aerospace and mechanical engineers have developed a machine-learning assisted superfast new way to create high-performance, energy-saving thermoelectric devices. Yanliang Zhang, associate professor of aerospace and mechanical engineering at the University of Notre Dame, and collaborators Alexander Dowling and Tengfei Luo have developed the high-performance, energy-saving thermoelectric devices. The paper reporting […]
Sep
16
Machine Learning Links Up Catalyst Performance & Materials
September 16, 2021 | 1 Comment
University of Michigan researchers have used machine learning to predict how the compositions of metal alloys and metal oxides affect their electronic structures. The finding could help pave the way toward cleaner fuels and a more sustainable chemical industry. The electronic structure is key to understanding how the material will perform as a mediator, or […]
Jul
30
Imperial College London researchers have demonstrated how machine learning could help design lithium-ion batteries and fuel cells with better performance. The new machine learning algorithm allows researchers to explore possible designs for the microstructure of fuel cells and lithium-ion batteries, before running 3D simulations that help researchers make changes to improve performance. Improvements could include […]
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