Results 61 to 70 of about 128,049 (243)

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak, Ryun‐Han Koo, Youngchan Cho, Changhyeon Han, Dongbin Kim, Soi Jeong, Yunho Shin, Joonhyeok Choi, Jiseong Im, Jonghyun Ko, Jong‐Ho Lee, Jangsaeng Kim, Youngho Kang, Wonjun Shin, Daewoong Kwon   +14 more
wiley   +1 more source

VisGCL: Visibility Graph Convolutional Learning on Time Series Data for Arc Fault Detection in Low‐Voltage Distribution Networks

IET Science, Measurement & Technology
Arc faults in low‐voltage distribution networks significantly threaten power system safety due to their randomness and concealment. Traditional arc fault detection methods, which rely on time‐domain and frequency‐domain features, often struggle with ...
Junfeng Yang, Nawaraj Kumar Mahato, Jiaxuan Yang, Gangjun Gong, Li Liu, Ren Qiang, Luyao Wang, Xue Liu   +7 more
doaj   +1 more source

Pilot Protection for Converter-interconnected Lines Based on Multi-stage Mutation of Fault Current

Zhongguo dianli
The introduction of power electronic converters has altered the fault characteristics of the traditional power grids. Traditional differential protection is inadequate to meet protection requirements when AC lines experience faults, leading to reduced ...
Zhaoyi SHA, Congbo WANG, Rongrong ZHAN, Yue YU, Jianfeng WANG   +4 more
doaj   +1 more source

Malicious Attack Correlation Analysis Method of Source-Grid-Load System under Specific Attack Scenarios

Zhongguo dianli, 2019
The key for the power grid to deal with cyber security threats is to make full use of cyber and electrical information to improve the self-adaptation ability and automation for identification of malicious attack event.
Rui ZHANG, Jiaxuan FEI, Congcong SHI, Xiaojian ZHANG, Xiuli HUANG, Qi WANG   +5 more
doaj   +1 more source

Spatially Tailorable Liquid Crystalline Elastomer Alignment During Digital Light Process 3D Printing

Advanced Functional Materials, EarlyView.
Here, we report the fabrication of 3D printable liquid crystalline elastomer (LCE) structures with spatially tailorable alignment domains within the same layer. This work addresses the long‐standing challenge of preparing complex 3D LCE architectures with patterned functional domains to achieve nonlinear deformations. Fabrication of multi‐domains in 3D
Adam Bischoff, Saman Jamshididana, Zach Miller, Kassandra Hernandez, Nicolas Gonsalves, Andre Olarra, Elliot Yoo, Jeremy A. Herman, Devin J. Roach   +8 more
wiley   +1 more source

Research on Short-Term Load Prediction Based on Seq2seq Model

Energies, 2019
Electricity load prediction is the primary basis on which power-related departments to make logical and effective generation plans and scientific scheduling plans for the most effective power utilization.
Gangjun Gong, Xiaonan An, Nawaraj Kumar Mahato, Shuyan Sun, Si Chen, Yafeng Wen   +5 more
doaj   +1 more source

Reprogramming Tumor Cell Death via Processing Natural Drug to Carbon Dots Overcomes Collagen Barrier and Activates Antitumor Immunity

Advanced Functional Materials, EarlyView.
A traditional Chinese medicine‐derived carbon dots nanoplatform reprograms tumor cell death from apoptosis to necroptosis, dismantling therapy‐induced collagen barriers and promoting immunogenic death. pH‐responsive hydrogel assembled from carbon dots for localized delivery, this strategy suppresses primary tumors and metastasis, offering a new ...
Zekun Yan, Hongwei Cheng, Yupeng Liu, Wenfeng Xu, Quansheng Cheng, Lingyun Li, Xue Wu, Yingqi Liang, Jing Zhao, Gang Liu, Shaoping Li, Songnan Qu   +11 more
wiley   +1 more source

Switchable Supramolecular Adhesive by Tuning Interfacial Bonding and Modulus

Advanced Functional Materials, EarlyView.
The supramolecular adhesive (HyDiP) shows reversible adhesion and recyclability. In the dehydrated state, it is dense, stiff (E ≈445 MPa), transparent, and provides strong bonding with adhesion strengths up to 4.65 MPa. In the hydrated state, it becomes porous, soft (E ≈0.11 MPa), and detaches easily, enabling sustainable high‐strength applications ...
Rumin Fu, Cairong Xiao, Zihao Du, Changhong Linghu, Yongdong Shi, Chuyang Xiang, Mingxin Wan, Guoxin Tan, Limin Lu, Chengyun Ning, K Jimmy Hsia   +10 more
wiley   +1 more source

Three‐Dimensional Hierarchical Nanowire‐Networks with Deep‐Focus Tolerance and Adhesion Robustness for Harsh‐Environment SERS Sensing

Advanced Functional Materials, EarlyView.
A 3D nanowire‐network SERS substrate with robust adhesion is developed, featuring pronounced z‐direction optical activity, ultralow detection limit (1.5 × 10−13 M), and excellent signal uniformity (RSD < 10%). Enabled by enhanced light scattering, increased optical density of states, and structural reinforcement, the substrate demonstrates stable, high‐
Jinglai Duan, Wentao Wang, Xiu Liang, Yongliang Zhang, Jie Liu, Yu Bai, Dangyuan Lei   +6 more
wiley   +1 more source

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

Advanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source