Results 61 to 70 of about 656,852 (216)
Structural Changes and Transport Properties of YBa2Cu3O7 Locally Modified by a He+ Focused Ion Beam
The structure and the electric transport properties of YBa2Cu3O7 modified with 30 keV He+${\rm He}^{+}$ ions depend on the irradiation dose and lateral size of the irradiated area, as shown by low‐temperature resistivity measurements, diffraction with a nanofocused X‐ray beam and atomic force microscopy.
Ross Carter +11 more
wiley +1 more source
Physics‐Based Compact Modeling of Advanced 3D Nanoscale Vertical NAND Flash Memory
For advanced 3D NAND flash memory, a unified compact model for SPICE is proposed that spans from the intrinsic unit cell to the full string and captures the electrostatic coupling with adjacent inhibit strings. It can successfully predict read behavior, program/erase dynamics, and interactions between neighboring cells, reflecting array‐level behavior ...
Ilho Myeong, Seonho Shin, Ickhyun Song
wiley +1 more source
Localized laser annealing transforms distorted, edge‐pinned domain‐wall motion in ferrimagnetic Pt/GdFe nanowires into straight, stable, and ultrafast propagation. Experiments and micromagnetic simulations reveal an optimum anisotropy‐engineering window in which moderate edge softening suppresses pinning, whereas excessive anisotropy reduction or ...
Mojtaba Mohammadi +5 more
wiley +1 more source
Ionic Liquid Electrolytes for Extreme Temperature Conditions: Challenges and Perspective
Ionic liquids (ILs) have gained great attention as safe electrolyte components in recent years. This review elucidates the temperature effects on IL‐based electrolytes from molecular configurations, physicochemical properties, and interfacial chemistry, raises the challenges and design strategies operating at low‐ and HT, providing valuable guidance ...
En Xie +11 more
wiley +2 more sources
Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries
This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang +6 more
wiley +1 more source
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
ABSTRACT The US hemp market is a new and nascent industry that has been devoid of research for about half a century. This study examined the effects of exogenous shock on price at each phase of the value chain—Farm (hemp biomass), and its impact on prices at other phases of the value chain—Intermediary Processor (crude cannabidiol hemp) and Final ...
Solomon Odiase +2 more
wiley +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Stability and ultimate boundedness of solutions to Certain third-order differential equations
We employ Lyapunov’s second method to investigate uniform asymptotic stability, ultimate boundedness and uniform ultimate boundedness of solutions to certain third-order non-linear differential equations.
Ademola, T. A., Arawomo, P. O.
core +1 more source
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source

