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 […]
Mar
19
Using Machine Learning to Build Better Batteries
March 19, 2020 | Leave a Comment
Stanford University’s new machine learning method has slashed battery testing times – a key barrier to longer-lasting, faster-charging batteries for electric vehicles – by nearly fifteenfold. Battery performance can make or break the electric vehicle experience, from driving range to charging time to the lifetime of the car. Now, artificial intelligence has made dreams like […]
Jan
1
Artificial Intelligence Comes to Battery Design
January 1, 2020 | Leave a Comment
Happy New Year! DOE/Argonne National Laboratory researchers have turned to the power of machine learning and artificial intelligence to dramatically accelerate battery discovery. The press release likens designing new batteries with the best molecular building blocks for battery components to trying to create a recipe for a new kind of cake, when you have billions […]
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