scispace - formally typeset
O

Oleg Heczko

Researcher at Academy of Sciences of the Czech Republic

Publications -  180
Citations -  5619

Oleg Heczko is an academic researcher from Academy of Sciences of the Czech Republic. The author has contributed to research in topics: Magnetic shape-memory alloy & Martensite. The author has an hindex of 41, co-authored 168 publications receiving 5055 citations. Previous affiliations of Oleg Heczko include Helsinki University of Technology & Czechoslovak Academy of Sciences.

Papers
More filters
Journal ArticleDOI

Giant field-induced reversible strain in magnetic shape memory NiMnGa alloy

TL;DR: In this article, a room temperature extensional strain of 5.1% was observed in martensitic Ni/sub 48/Mn/sub 31/Ga/sub 21/ alloy in the magnetic field of 480 kA/m.
Journal ArticleDOI

Adaptive modulations of martensites.

TL;DR: By combining the concept of adaptive martensite with branching of twin variants, this work can explain key features of modulated phases from a microscopic view, including metastability, the sequence of 6M-10M-14M-NM intermartensitic transitions, and the magnetocrystalline anisotropy.
Journal ArticleDOI

Coexistence of ferromagnetic and antiferromagnetic order in Mn-doped Ni2MnGa

TL;DR: In this paper, the magnetic ordering of Mn-rich Ni-Mn-Ga alloys based on both experiments and theory is investigated. But the results of the experiments are limited to a vibrating sample magnetometer in magnetic fields of up to several tesla.
Journal ArticleDOI

Highly mobile twinned interface in 10 M modulated Ni–Mn–Ga martensite: Analysis beyond the tetragonal approximation of lattice

TL;DR: In this paper, the authors analyzed the impact of a slight orthorhombic and monoclinic distortion of the Ni 50.2 Mn 28.3 Ga 21.5 at.
Journal ArticleDOI

Magnetic shape memory effect and magnetization reversal

TL;DR: In this paper, the relationship between magnetization and strain was established by simultaneous measurements of M and e. The experimental dependences were interpreted within the framework of a simple energy model.