Results 91 to 100 of about 930 (239)
Device‐Level Implementation of Reservoir Computing With Memristors
Reservoir computing (RC) is an emerging computing scheme that employs a reservoir and a single readout layer, which can be actualized in the nanoscale with memristors. As a comprehensive overview, the principles of RC and the switching mechanisms of memristors are discussed, followed by actual demonstrations of memristor‐based RC and the remaining ...
Sunbeom Park, Hyojung Kim, Ho Won Jang
wiley +1 more source
Investigation of the multicaloric properties in spark plasma sintered NiMnCoTi alloys
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
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
This study explores the epitaxial growth of high‐quality La‐doped BiFeO3 (BLFO) thin films at 550 °C using magnetron sputtering. The films exhibit good ferroelectric properties and low leakage current. A BLFO/CoFeB heterostructure is constructed, achieving an exchange bias field exceeding the coercive field at room temperature.
Zhiqin Zhou +10 more
wiley +1 more source
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
The Progress of Orbitronics: The Enhancement of Orbital Torque Efficiency
Orbit‐torque (OT) devices attract significant attention for their low‐power consumption and high stability in applications. This review systematically outlines strategies for enhancing OT efficiency. We categorize approaches into boosting orbital currents/torques and improving the orbital‐to‐spin conversion coefficient.
Pengfei Liu +6 more
wiley +1 more source
This study demonstrates a versatile hardware platform using nano‐oscillators based on binary oxides for deterministic and probabilistic computing. By tailoring material physics, NbOx enables energy‐efficient synchronization for pattern recognition, while enhanced stochasticity in engineered SiOx provides robust entropy for p‐bits to solve complex ...
Jihyun Kim +3 more
wiley +1 more source
NiFe‐NO3 Layered Double Hydroxide as a Novel Anode for Sodium Ion Batteries
This study demonstrates, for the first time, the effectiveness of using LDH as an anodic material in SIB. The material is stable and show high specific capacity, the reaction mechanism has been thoroughly investigated and comprehensively described and involves a phase change reaction followed by sodium intercalation.
Marco Fortunato +4 more
wiley +1 more source
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu +3 more
wiley +1 more source
Field‐free programmable bipolar magnetic heterostructures for neuromorphic computing
Neuromorphic computing mimics the brain's efficiency, yet typical memristors lack biological synapses' dual signal control. We introduce a magnetic memristor enabling bidirectional, multi‐state modulation without external fields, validated in image feature extraction and neural clustering.
Yaping He +9 more
wiley +1 more source

