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Articles, 2 registres trobats
Articles 2 registres trobats  
1.
12 p, 2.5 MB Toward machine learning for microscopic mechanisms : A formula search for crystal structure stability based on atomic properties / Gajera, Udaykumar (University of Turin. Chemistry Department) ; Storchi, Loriano (Università Degli Studi G. d'Annunzio. Dipartimento di Farmacia) ; Amoroso, Danila (Université de Liège. NanoMat/Q-mat/CESAM) ; Delodovici, Francesco (Université Paris-Saclay. CentraleSupélec) ; Picozzi, Silvia (Consiglio Nazionale Delle Ricerche)
Machine-learning techniques are revolutionizing the way to perform efficient materials modeling. We here propose a combinatorial machine-learning approach to obtain physical formulas based on simple and easily accessible ingredients, such as atomic properties. [...]
2022 - 10.1063/5.0088177
Journal of applied physics, Vol. 131, Issue 21 (June 2022) , art. 215703  
2.
13 p, 13.4 MB Understanding the Magnetic Microstructure through Experiments and Machine Learning Algorithms / Talapatra, Abhishek (Indian Institute of Technology Hyderabad. Department of Physics) ; Gajera, Udaykumar (University of Turin. Chemistry Department) ; Prasad, Syam (Indian Institute of Technology Hyderabad. Department of Physics) ; Arout Chelvane, Jeyaramane (Defence Metallurgical Research Laboratory (India)) ; Mohanty, Jyoti Ranjan (Indian Institute of Technology Hyderabad. Department of Physics)
Advanced machine learning techniques have unfurled their applications in various interdisciplinary areas of research and development. This paper highlights the use of image regression algorithms based on advanced neural networks to understand the magnetic properties directly from the magnetic microstructure. [...]
2022 - 10.1021/acsami.2c12848
ACS applied materials & interfaces, Vol. 14, Issue 44 (October 2022) , p. 50318-50330  

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