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Related papers: Simulation of the shape memory effect in a NiTi na…

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Recently, several research groups have reported on the observation of super-large more than 5% magneto-strain effect in some non-stoichiometric Ni-Mn-Ga alloys close to 5.78% value expected from the tetragonality aspect ratio of the…

Materials Science · Physics 2009-10-31 A. A. Likhachev , K. Ullakko

The kineticts of magnetization reversal of stripe-shaped permalloy-niobium hybrid nanofilms is studied in 6-300 K temperature range by means of magneto-optics visualization technique. The niobium influence on magnetic domain walls type and…

Superconductivity · Physics 2011-12-13 L. S. Uspenskaya , S. V. Egorov

Additive manufacturing has been adopted to process nickel-titanium shape memory alloys due to its advantages of flexibility and minimal defects. The current layer-by-layer method is accompanied by a complex temperature history, which is not…

Materials Science · Physics 2021-10-05 Shiming Gao , Fei Weng , Ojo Philip Bodunde , Mian Qin , Wei-Hsin Liao , Ping Guo

We examine different models and methods for studying finite-temperature magnetic hysteresis in nanoparticles and ultrathin films. This includes micromagnetic results for the hysteresis of a single magnetic nanoparticle which is misaligned…

Materials Science · Physics 2007-05-23 M. A. Novotny , D. T. Robb , S. M. Stinnett , G. Brown , P. A. Rikvold

The shape memory effect and pseudoelasticity in Cu nanowires is one possible pair of mechanisms that prevents high aspect ratio nanosized field electron emitters to be stable at room temperature and permits their growth under high electric…

Materials Science · Physics 2016-04-22 Mihkel Veske , Stefan Parviainen , Vahur Zadin , Alvo Aabloo , Flyura Djurabekova

NiTi-based high-temperature shape memory alloys (HTSMAs) such as NiTiHf have been utilized in a broad range of applications due to their high strength and work output, as well as, their ability to increase the transformation temperatures…

This study explores cardiovascular stents fabricated using laser powder bed fusion (LPBF); an emerging method to offer patient-specific customisable parts. Here, the shape memory alloy NiTi, in a near equiatomic composition, was…

We present results of temperature dependent measurements of dynamics of micellar nanoparticle - polymer composites of fixed volume fraction and variable polymer chain grafting density. For nanoparticles with lower grafting density we…

Soft Condensed Matter · Physics 2008-09-12 A. K. Kandar , S. Srivastava , J. K. Basu , M. K. Mukhopadhyay , S. Seifert , S. Narayanan

The magnetic correlations in the austenite phase and the consequent martensitic transition in inverse magnetocaloric alloys, Ni$_{2}$Mn$_{1+x}$Sn$_{1-x}$, have been a matter of debate for decades. We conclusively establish using {\it ab…

Strongly Correlated Electrons · Physics 2018-11-13 Vijay Singh , Ambroise van Roekeghem , S. K. Panda , S. Majumdar , Natalio Mingo , I Dasgupta

Quantum non-Markovianity represents memory during the system dynamics, which is typically weakened by the temperature. We here study the effects of environmental temperature on the non-Markovianity of an open quantum system by virtue of…

Quantum Physics · Physics 2018-06-13 Zhong-Xiao Man , Yun-Jie Xia , Rosario Lo Franco

The change in materials properties subjected to irradiation by highly energetic particles strongly depends on the irradiation dose rate. Atomistic simulations can in principle be used to predict microstructural evolution where experimental…

Materials Science · Physics 2025-06-24 Max Boleininger , Daniel R. Mason , Thomas Schwarz-Selinger , Pui-Wai Ma

Martensitic transformations, viewed as continuous transformations between triply periodic minimal surfaces (TPMS), as originally proposed by Hyde and Andersson [Z. Kristallogr. 174, 225 (1986)], is extended to include paths between the…

Materials Science · Physics 2024-02-05 Mengdi Yin , Dimitri D. Vvedensky

Stress-induced martensitic transformations enable metastable alloys to exhibit enhanced strain hardening capacity, leading to improved formability and toughness. As is well-known from transformation-induced plasticity (TRIP) steels,…

In this work we study molecular dynamics simulations of symmetric nuclear matter using a semi-classical nucleon interaction model. We show that, at sub-saturation densities and low temperatures, the solutions are non-homogeneous structures…

Nuclear Theory · Physics 2015-06-19 P. A. Giménez Molinelli , C. O. Dorso

Martensitic transition temperature steadily decreases in Ni$_{2-x}$Fe$_{x}$Mn$_{1.5}$In$_{0.5}$ and is completely suppressed at $x$ = 0.2. Despite suppression of martensitic transition, Ni$_{1.8}$Fe$_{0.2}$Mn$_{1.5}$In$_{0.5}$ does not…

Materials Science · Physics 2020-04-02 R. Nevgi , Gangadhar Das , M. Acet , K. R. Priolkar

Neutron diffraction measurements, performed in presence of an external magnetic field, have been used to show structural evidence for the kinetic arrest of the first-order phase transition from the high temperature austenite phase to the…

Changes in stoichiometric NiTi allotropes induced by hydrostatic pressure have been studied employing density functional theory. By modelling the pressure-induced transitions in a way that imitates quasi-static pressure changes, we show…

Materials Science · Physics 2015-03-19 David Holec , Martin Friák , Antonín Dlouhý , Jörg Neugebauer

The incredible thermo-mechanical properties of biological materials arise from the microscopic scale due to a complex hierarchical mechanism, regulated by microinstabilities at the molecular level. The description of such complex structures…

Biological Physics · Physics 2022-10-26 Luca Bellino

The dynamic magnetic properties of Ni nanoparticles diluted in an amorphous SiO2 matrix prepared from a modified sol-gel method have been studied by the frequency f dependence of the ac magnetic susceptibility \c{hi}(T). For samples with…

Materials Science · Physics 2011-03-22 G. F. Goya , F. C. Fonseca , R. F. Jardim , R. Muccillo , N. L. V. Carreño , E. Longo , E. R. Leite

Thermally-driven semi-crystalline polymer networks are capable to achieve both the one-way shape-memory effect and two-way shape-memory effect under stress and stress-free conditions, therefore representing an appealing class of polymers…