Conveners
friday morning
- Srdjan Stavrić (Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade)
With the advent of quantum technology and quantum computing, devices at cryogenic temperature become much more wide spread. This also opens opportunities to include superconducting interfaces into the scientific game. For example, the combination of superconductors with magnetic or topological materials offers a playground where new phenomena such as topological superconductivity, Majorana...
Orbitronics has recently emerged as a valid alternative to the field of spintronics, with the orbital degree of freedom serving as the main variable for transportation and magnetization manipulation. Currently, the majority of envisioned applications in orbitronics are associated with the generation and utilization of the orbital currents hosted by non-magnetic bulk materials. On the other...
Recent advances in van der Waals (vdW) ferromagnets have opened innovative avenues for spintronic device design. In this work, we present a comprehensive theoretical investigation of coherent spin-dependent transport in the FGT family of vdW ferromagnets. Using density functional theory combined with the non-equilibrium Green's function method, we demonstrate that charge transport...
Persistent spin textures give rise to robust spin states, unlocking wide-range opportunities for quantum computing, data storage, and advanced spintronic technologies [1]. In this work, we explore the potential for realizing a persistent spin texture in monolayer phosphorene - a promising spintronic material with high carrier mobility, tunable semiconducting band gap and weak spin-orbit...
The discovery of ferromagnetism in monolayer ${\rm CrI_3}$ marked the beginning of a new era in two-dimensional (2D) materials research. However, most 2D ferromagnets exhibit critically low ordering temperatures, limiting their technological applicability [1]. Significant efforts have focused on enhancing the modest Curie temperature ($T_c$) of monolayer ${\rm CrI_3}$ (45 K), with carrier...
The recently discovered group of intercalated monolayers with structural formula MA$_2$Z$_4$ attracted significant interest due to the wide range of physical properties [1]. In the talk we discuss the $\alpha$-NbSi$_2$N$_4$ monolayer as a two-dimensional ferromagnet with promising magnetic, thermal and optical properties for future spintronics applications. Specifically, using density...
We investigate the emergence of altered magnetic phases in a CrI₃ monolayer induced by proximity effects with WSe₂. Using density functional theory (DFT) calculations within the SIESTA framework, we analyze the magnetic properties via a novel approach for extracting the magnetic exchange interaction and onsite anisotropy tensors in extended Heisenberg spin models, explicitly incorporating...
The H-phase of vanadium ditelluride (H-VTe$_2$) recently gained interest in spintronics due to its room-temperature ferromagnetism and tunable electronic band gap [1]. The stability of its ferromagnetic ordering in the monolayer structure can be attributed to its large magnetic anisotropy energy (MAE), favoring in-plane magnetization. Modulating the magnetic anisotropy is crucial in improving...
2D magnetic materials have sourced great attention in the last few years [1]. Intrinsic theoretical interest arises from the very existence of magnetism below the 3D limit, proven only recently after decades of debate, as well as from the observed richness in magnetic phases, encompassing conventional ferromagnetic and antiferromagnetic as well as more exotic textures. Besides, these materials...
We have developed a multi-step strategy for training stable and precise machine learning potentials (MLPs) that are able to efficiently and precisely extrapolate to out-of-domain (OOD) cases. Essential part of obtaining well-performing MLP is obtaining balanced and properly sampled dataset. To achieve this, we have developed a sampling technique based on nudged elastic band (NEB) and...
Magnetic materials often exhibit complex energy landscapes with multiple local minima, each corresponding to a self-consistent electronic structure solution. Finding the global minimum is challenging, and heuristic methods are not always guaranteed to succeed. We apply an automated workflow to systematically explore the energy landscape of 194 magnetic monolayers from the Materials Cloud 2D...
