Results 81 to 90 of about 898 (243)

Phase-field model for ferromagnetic shape-memory alloys

Philosophical Magazine Letters, 2005
A computational model is developed to predict the ferroelastic and ferromagnetic domain structures in ferromagnetic shape-memory alloys by combining the phase-field approach, micromagnetics and the microelasticity theory of Khachaturyan [Theory of Structural Transformations in Solid (Wiley, New York, 1983)].
J. X. Zhang, L. Q. Chen
openaire   +1 more source

A Spin‐Texture Spin‐Valves With Van Der Waals Magnets

Advanced Science, EarlyView.
ABSTRACT All‐electrical methods for nucleating, detecting, and manipulating spin textures in 2D van der Waals (vdW) magnets can serve as fundamental building blocks for multi‐state spintronic memory, logic, and neuromorphic computing applications.
Bing Zhao, Roselle Ngaloy, Lars Sjöström, Saroj P. Dash   +3 more
wiley   +1 more source

Ion-irradiation-assisted tuning of phase transformations and physical properties in single crystalline Fe7Pd3 ferromagnetic shape memory alloy thin films

New Journal of Physics, 2015
Control of multi-martensite phase transformations and physical properties constitute greatly unresolved challenges in Fe _7 Pd _3 -based ferromagnetic shape memory alloys.
A Arabi-Hashemi, R Witte, A Lotnyk, R A Brand, A Setzer, P Esquinazi, H Hahn, R S Averback, S G Mayr   +8 more
doaj   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Topological Materials and Related Applications

Advanced Electronic Materials, EarlyView.
This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti, Roberto Mantovan, Emanuele Longo, Harold J. W. Zandvliet, Pantelis Bampoulis, Yu Pan, Fan Li, Xia Wang, Payton Downey, Alessandro Molle   +9 more
wiley   +1 more source

Elevating and controlling the martensitic-austenitic transformation temperature above room temperature for Ni-Co-Mn-Al ferromagnetic shape memory alloys

Materials Research Express
Rapidly quenched Ni _50−x Co _x Mn _35 Al _15 (x = 7 − 13) alloy ribbons with thickness of ∼20 μm and width of ∼3 mm were prepared by melt-spinning method.
Xuan Hau Kieu, Nguyen Hai Yen, Thi Thanh Pham, Huy Ngoc Nguyen, Van Toan Nguyen, Vu Manh Quang, Huy Dan Nguyen   +6 more
doaj   +1 more source

A novel sintering method for polycrystalline NiMnGa production for elastocaloric applications

Journal of Materials Research and Technology
NiMnGa Heusler alloy plays a key role as reference system for ferromagnetic shape memory alloys (FeSMAs) and their peculiar functional properties including large magnetic-field-induced strain, magnetocaloric and elastocaloric effects.
Francesca Villa, Elena Villa, Enrico Bassani, Corrado Tomasi, Francesca Passaretti, Riccardo Casati   +5 more
doaj   +1 more source

Temperature Dependence of Anisotropy in Ti and Gd Doped NiMnGa-Based Multifunctional Ferromagnetic Shape Memory Alloys. [PDF]

Materials (Basel), 2020
Łaszcz A, Hasiak M, Kaleta J.
europepmc   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

Advanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob, Karsten Reuter, Johannes T. Margraf   +2 more
wiley   +1 more source

Influence of Annealing on the Damping Behavior of Ni-Cu-Mn-Ga Ferromagnetic Shape Memory Alloys. [PDF]

Materials (Basel), 2020
Liao X, Xu X, Gao L, Khan MT, Hao C, Cheng F, He Y, Wang Y.   +7 more
europepmc   +1 more source