Results 121 to 130 of about 40,562 (292)
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
This article presents an in-depth study of the sequence of events leading to density limit disruption in J-TEXT tokamak plasmas, with an emphasis on boundary turbulent transport and the high-field-side high-density (HFSHD) front.
Peng Shi +18 more
doaj +1 more source
2D Nanomaterials Toward Function‐Ready Superlubricity in Advanced Microsystems
A unified framework links structural and transformation superlubricity with microsystem functions and deployment requirements. Mechanisms, device architectures, integration strategies, AI‐guided discovery, and benchmarking protocols are connected to define function‐ready superlubricity in advanced microsystems.
Yushan Geng, Jun Yang, Yong Yang
wiley +1 more source
This review highlights recent advances in electrospun nanofiber‐based triboelectric nanogenerators, emphasizing how material design, fiber architecture, and interface engineering collectively enhance output performance and mechanical durability. Key developments in porous, aligned, core‐shell, and hierarchical nanofibers are discussed alongside ...
MD Fajla Rabbi +3 more
wiley +1 more source
The timescale of thermal quench (TQ) remains a long-lasting issue in tokamak plasmas, which has not been fully understood yet. In this work, based on our previous thermal diffusion model and further considering the scattering caused by the electrostatic ...
Shengyang Xiao, Lu Wang, Weixin Guo
doaj +1 more source
Tokamak plasma disruption precursor onset time study based on semi-supervised anomaly detection
Plasma disruption in tokamak experiments is a challenging issue that causes damage to the device. Reliable prediction methods are needed, but the lack of full understanding of plasma disruption limits the effectiveness of physics-driven methods.
X.K. Ai +13 more
doaj +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee +21 more
wiley +1 more source
The impurity transport driven by kinetic ballooning mode (KBM) is theoretically studied in the DIII-D H-mode strong gradient pedestal plasmas. From the electromagnetic gyrokinetic equation, including the correction of the strong radial electric field ...
Shanni Huang, Weixin Guo, Lu Wang
doaj +1 more source

