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| Issue | Title | |
| Vol 13, No 6 (2022) | Spin Boltzmann machine | Abstract PDF (Eng) similar documents |
| I. S. Lobanov | ||
| "... is faster and more energy efficient than a simulation on digital computers. At the moment, a hardware BM ..." | ||
| Vol 14, No 6 (2023) | Toward nanomagnetic implementation of energy-based machine learning | Abstract PDF (Eng) similar documents |
| I. S. Lobanov | ||
| "... as energy based models, which are famous for being trained by minimization of free energy. In the standard ..." | ||
| Vol 11, No 6 (2020) | Machine learning method for computation of optimal transitions in magnetic nanosystems | Abstract PDF (Eng) similar documents |
| K. R. Bushuev, I. S. Lobanov | ||
| "... Minimum energy path (MEP) is an important tool for computation of activation barriers ..." | ||
| Vol 8, No 5 (2017) | Thermal stability of magnetic states in submicron magnetic islands | Abstract PDF (Eng) similar documents |
| S. Y. Liashko, I. S. Lobanov, V. M. Uzdin, H. J´onsson | ||
| "... the harmonic approximation to transition state theory. Stable magnetic states, minimum energy paths between ..." | ||
| Vol 8, No 5 (2017) | Truncated minimum energy path method for finding first order saddle points | Abstract PDF (Eng) similar documents |
| I. S. Lobanov, M. N. Potkina, H. H. J´onsson, V. M. Uzdin | ||
| "... A method for finding a selected region of the minimum energy path between two local minima ..." | ||
| 1 - 5 of 5 Items | ||
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