Ab initio, artificial neural network predictions and experimental synthesis of mischmetal alloying in Sm-Co permanent magnets.
Sign Up to like & getrecommendations! Published in 2022 at "Nanoscale"
DOI: 10.1039/d2nr00364c
Abstract: The use of the mischmetal alloy, comprised of La and Ce in 1 : 3 ratio, as a partial substitute for Sm in the CaCu5-type structure is explored, as a means for the search of viable alternatives… read more here.
Keywords: neural network; magnetic properties; network predictions; initio artificial ... See more keywords
Neural network predictions of oxygen interactions on a dynamic Pd surface
Sign Up to like & getrecommendations! Published in 2017 at "Molecular Simulation"
DOI: 10.1080/08927022.2016.1274984
Abstract: Abstract Artificial neural networks (NNs) are increasingly common in quantum chemistry applications. These models can be trained to higher-level ab-initio calculations and are capable of achieving arbitrary levels of accuracy. The most common applications thus… read more here.
Keywords: oxygen interactions; surface; interactions dynamic; network predictions ... See more keywords
Refining neural network predictions using background knowledge
Sign Up to like & getrecommendations! Published in 2022 at "Machine Learning"
DOI: 10.48550/arxiv.2206.04976
Abstract: Recent work has shown learning systems can use logical background knowledge to compensate for a lack of labeled training data. Many methods work by creating a loss function that encodes this knowledge. However, often the… read more here.
Keywords: neural network; knowledge; background knowledge; network predictions ... See more keywords