Results 121 to 130 of about 9,463 (269)

Strain‐Assembled Crystalline SrRuO3 Microtube and Emergent Curvilinear Magnetism

open access: yesAdvanced Science, EarlyView.
The interfacial‐strain assembly based on planar nanomembranes presents a promising approach for constructing novel magnetic microstructures. By employing the perpendicular magnetic anisotropic SrRuO3 freestanding nanomembrane as a model system, we exploit the interfacial strain effect within the crystalline SrTiO3/SrRuO3 bilayer, and successfully ...
Lei Gao   +12 more
wiley   +1 more source

Emerging of Anomalous Higher‐Order Topological Phases in Altermagnet/Topological Insulator Heterostructure by Floquet Engineering

open access: yesAdvanced Science, EarlyView.
We combine altermagnet with topological insulators and subject the structure to Floquet driving. This breaks time‐reversal symmetry and creates a new type of higher‐order topological insulator. Its key feature is the emergence of programmable “0/π‐corner modes” that can be controlled by magnetic field direction, offering a novel dynamic platform for ...
Donghao Wang   +4 more
wiley   +1 more source

Orbital Magnetic Moment Controlled Converse Magnetoelectric Effect in bcc‐Co3Mn/Fe/V/PMN‐PT Multiferroic Heterostructures

open access: yesAdvanced Science, EarlyView.
Based on orbital magnetic moment control, a material design strategy is proposed for a giant converse magnetoelectric effect in multiferroic heterostructures. This study will pioneer a promising route toward low‐power spintronic devices with an electric field.
Takamasa Usami   +5 more
wiley   +1 more source

Investigation of the multicaloric properties in spark plasma sintered NiMnCoTi alloys

open access: yesJournal of Materials Research and Technology
Multicaloric Shape Memory Alloys (SMA) attract considerable scientific and technological interest nowadays as core materials for developing new solutions for solid-state cooling. The NiMnCoTi system is a ferromagnetic SMA that combines the caloric effect
F. Villa   +4 more
doaj   +1 more source

On the Ordering Mechanism of Cu+ in 2D van der Waals Multiferroic CuCrP2S6

open access: yesAdvanced Science, EarlyView.
Temperature‐dependent X‐ray single‐crystal diffuse scattering measurements of CuCrP2S6 in the (H, K, 0) plane reveal the gradual emergence and strengthening of short‐range order upon cooling from 230 to 170 K. At intermediate temperatures, diffuse features become pronounced and eventually lock into sharp incommensurate satellite reflections, indicating
Jiasen Guo   +5 more
wiley   +1 more source

Interplay Between Structure and Interfacial Interactions in Fe‐Gd Synthetic Ferrimagnets

open access: yesAdvanced Electronic Materials, EarlyView.
Synthetic ferrimagnets with nearly identical Gd–Fe compositions but different architectures and crystallinity were investigated by element‐resolved microscopy, structural analysis and atomistic spin simulations. The results show that Curie temperature and domain evolution are governed primarily by structural order and interface quality, demonstrating ...
Álvaro González‐García   +10 more
wiley   +1 more source

Martensitic transformation and good ductility in all-d-metal NiMn-based Heusler magnetic shape memory alloys from first-principles prediction

open access: yesResults in Physics
The possible martensitic transformation (MT) and ductile properties of all-d-metal Ni2MnZ (Z=Sc, Ti, V, Cr, Y, Zr, Nb, Mo, Tc, Ru, Rh, Pd, Re, Os, Ir, and Pt) Heusler alloys have been systematically investigated using first-principles calculations.
Chun-Mei Li   +3 more
doaj   +1 more source

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

open access: yesAdvanced 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   +2 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

open access: yesAdvanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan   +5 more
wiley   +1 more source

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