activity
20182020
collaborators

5 papers

cond-mat.str-el2020

Field evolution of the spin-liquid candidate YbMgGaO

Sebastian Bachus, Ilia A. Iakovlev, Yuesheng Li +7

We report magnetization, heat capacity, thermal expansion, and magnetostriction measurements down to millikelvin temperatures on the triangular antiferromagnet YbMgGaO. Our dat…

nlin.PS2020

Multi-scale structural complexity of natural patterns

Andrey A. Bagrov, Ilia A. Iakovlev, Askar A. Iliasov +2

Complexity of patterns is a key information for human brain to differ objects of about the same size and shape. Like other innate human senses, the complexity perception cannot be…

cond-mat.str-el2019

Recurrent network classifier for ultrafast skyrmion dynamics

A. Y. Deviatov, I. A. Iakovlev, V. V. Mazurenko

By using the supervised learning we train a recurrent neural network to recognize and classify ultrafast magnetization processes realized in two-dimensional nanosystems with Dzyalo…

cond-mat.str-el2018

Profile approach for recognition of three-dimensional magnetic structures

I. A. Iakovlev, O. M. Sotnikov, V. V. Mazurenko

We propose an approach for low-dimensional visualisation and classification of complex topological magnetic structures formed in magnetic materials. Within the approach one convert…

cond-mat.str-el2018

Supervised learning magnetic skyrmion phases

I. A. Iakovlev, O. M. Sotnikov, V. V. Mazurenko

We propose and apply simple machine learning approaches for recognition and classification of complex non-collinear magnetic structures in two-dimensional materials. The first appr…