Machine-Learning Prediction of Curie Temperature from Chemical Compositions of Ferromagnetic Materials
Room-temperature ferromagnets are high-value targets for discovery given the ease by
which they could be embedded within magnetic devices. However, the multitude of potential …
which they could be embedded within magnetic devices. However, the multitude of potential …
An accelerating approach of designing ferromagnetic materials via machine learning modeling of magnetic ground state and Curie temperature
T Long, NM Fortunato, Y Zhang… - Materials Research …, 2021 - Taylor & Francis
Magnetic materials have a plethora of applications from information technologies to energy
harvesting. However, their functionalities are often limited by the magnetic ordering …
harvesting. However, their functionalities are often limited by the magnetic ordering …
Efficient discovery of room temperature magnetic transition metal monolayers assisted by artificial neural network
AN Mahmoodabadi, M Modarresi… - Computational Materials …, 2023 - Elsevier
The low-dimensional materials have opened a new window to new emerging science and
technological applications. Recently the discovery of new two-dimensional (2D) monolayers …
technological applications. Recently the discovery of new two-dimensional (2D) monolayers …
Machine Learning and High-throughput Approaches to Magnetism
Magnetic materials have underpinned human civilization for at least one millennium and
now find applications in the most diverse technologies, ranging from data storage, to energy …
now find applications in the most diverse technologies, ranging from data storage, to energy …
[PDF][PDF] Machine learning and high-throughput approaches to magnetism
Magnetic materials have underpinned human civilization for at least one millennium and
now find applications in the most diverse technologies, ranging from data storage, to energy …
now find applications in the most diverse technologies, ranging from data storage, to energy …