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Temperature and excitation energy dependence of Raman scattering in nodal line Dirac semimetal ZrAs_{2}

Autor: Bacewicz, R., Jastrzębski, C., Zberecki, K., Wadge, A. S., Jastrzębski, D., Wiśniewski, A.

We present a Raman study of ZrAs_{2} single crystals, a nodal line semimetal with symmetry-enforced Dirac-like band crossings. We identified the symmetry of phonon modes by polarized light measurements and comparison with calculated phonon frequencie

Externí odkaz: http://arxiv.org/abs/2404.17665

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Emergent impervious band crossing in the bulk in topological nodal line semimetal ZrAs$_2$

Autor: Wadge, A. S., Zberecki, K., Kowalski, B. J., Jastrzebski, D., Tanwar, P. K., Iwanowski, P., Diduszko, R., Moosarikandy, A., Rosmus, M., Olszowska, N., Wisniewski, A.

Topological nodal-line semimetals represent a unique class of materials with intriguing electronic structures and rich of symmetries, hosting electronic states with nontrivial topological properties. Among these, ZrAs$_2$ stands out, characterized by

Externí odkaz: http://arxiv.org/abs/2403.04434

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Heisenberg models with minimal number of parameters for two-dimensional magnetic crystals

Autor: Zberecki, K., Wilczynnski, M., Wierzbicki, M.

In this work we investigated adequacy of the Heisenberg model application to novel two-dimensional magnetic materials, on an example of monolayer CrI3. We introduced the concept of the mean tensor invariant under symmetry operations of the magnetic s

Externí odkaz: http://arxiv.org/abs/2208.14312

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Akademický článek

Effective spin filter and diode based on triple magnetic junction

Autor: Wilczyński, M. ^⁎, Zberecki, K., Wierzbicki, M.

Publikováno v: In Journal of Magnetism and Magnetic Materials 1 December 2024 611

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Magnetic properties of two-dimensional M$_2$N$_3$ (M-metal, N=S,Se,Te) compounds

Autor: Zberecki, K.

Using \textit{ab-initio} methods we study structural, electronic and magnetic properties of two dimensional compounds with stoichiometry M$_2$N$_3$ (M-metal, N=S,Se,Te). Our study shows that structures with Cr, Ti, and Mn are stable, with significant

Externí odkaz: http://arxiv.org/abs/2006.09757

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Structure prediction of two-dimensional materials based on neural network-driven evolutionary technique

Autor: Zberecki, K.

We present a simple yet effective method for structure prediction of two-dimensional structures. The method is based on a combination of neural networks and evolutionary techniques. It allows finding pristine 2D structures as well as structures grown

Externí odkaz: http://arxiv.org/abs/2005.06847

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