Results 211 to 220 of about 1,503,489 (327)

Deep Actor-Critic Reinforcement Learning (DA-CRL) based multi-objective optimal control of solar PV integrated UPQC for power quality enhancement in smart distribution networks. [PDF]

Sci Rep
Bindu EH, Prasanna PBG, Krishna D, Goud BS, Balachandran PK.   +4 more
europepmc   +1 more source

Robust Stitching Interface and Deep Learning Empowered Hydrogel Human‐Machine Interface

Advanced Science, EarlyView.
A molecular design strategy is presented that exploits synergistic carboxylate anion–quaternary ammonium interactions to simultaneously strengthen the hydrogel–PET interface and the bulk hydrogel network. Integrated with deep learning signal processing, the stable hydrogel–PET interface enables consistent signal acquisition and reliable human‐machine ...
Hao Dong, Yiming Luo, Chuanliu Liu, Mahamood Modupe Rasheedat, Wenjiayi Tan, Fangyu Zhao, Yixue Zhang, Chris Connor, Hua Hou, Hamdy Khamees Thabet, Ben Bin Xu, Huige Wei   +11 more
wiley   +1 more source

Multilayer perceptron neural network approach for power quality improvement in a grid integrated PV and electric vehicle systems. [PDF]

PLoS One
Das SR, Sabhahit JN, Patro KAK, Acharya DP, Mohanty A, Cuce E.   +5 more
europepmc   +1 more source

Probing Type‐II Multiferroicity in Monolayer NiBr2

Advanced Science, EarlyView.
Type‐II multiferroicity is demonstrated in monolayer NiBr2. Scanning tunneling microscopy resolves ferroelectric polarization arising from non‐collinear magnetic order, and reciprocal control with electric and magnetic fields confirms intrinsic magnetoelectric coupling.
Aleš Cahlík, Antti Karjasilta, Anshika Mishra, Robert Drost, Mohammad Amini, Javaria Arshad, Büşra Gamze Arslan, Peter Liljeroth   +7 more
wiley   +1 more source

Performance analysis of electrostatic and transport characteristics of underlap-engineered gate-all-around carbon nanotube (CNT) FETs for nanoelectronics circuitry applications. [PDF]

Sci Rep
Bose SJ, Dhar RS, Hussein MI, Awwad F.
europepmc   +1 more source

TiO6 as a Compensatory Structural Unit in Co‐Free, High‐Ni Layered Oxide for Durable Lithium‐Ion Batteries

Advanced Science, EarlyView.
Ti substitution stabilizes Co‐free high‐Ni layered oxides through both structural and electronic effects. TiO6 octahedra act as compensatory structural units that help interrupt cooperative Jahn–Teller distortion and suppress detrimental phase transitions, while the electron‐withdrawing inductive effect of Ti stabilizes the oxygen lattice. As a result,
Bixian Ying, Zhenjie Teng, Jun Wang, Honghong Tian, Charlotte von Petersdorff‐Campen, Rommel T. Tolla, Iuliia Mikulska, Linus Voigt, Sascha Nowak, Verena Naber, Alexander Schökel, Yuanming Liu, Michael Merz, Peter Nagel, Stefan Schuppler, Katja Frenzel, Adrian Jonas, Lena Mathies, Martin Winter, Karin Kleiner   +19 more
wiley   +1 more source

Artificial intelligence-driven optimal charging strategy for EV with integrated power quality enhancement in electric power grids. [PDF]

Sci Rep
K S, C M.
europepmc   +1 more source

Van der Waals Heterostructures for Next‐Generation Spintronics: Multiferroic‐Mediated Magnetoelectric Properties

Advanced Science, EarlyView.
As CMOS technology approaches fundamental energy limits, new paradigms for low‐power information processing are required. Magnetic systems are attractive for their spin transport, yet current‐induced magnetization control is energy inefficient. Multiferroic heterostructures enable energy‐efficient electric field manipulation of magnetism.
Donghyeon Lee, Jiwoong Yang, Inhyeok Oh, Sanghan Lee   +3 more
wiley   +1 more source

Robust Control of Distribution Static Compensator in Self-Excited Induction Generator-Based Wind Energy Systems Under Sensor Failures and Abnormal Load Conditions. [PDF]

Sensors (Basel)
Özer AS, Karaca H.
europepmc   +1 more source

From Sensing Mechanisms to System Co‐Design: Graphene‐Based Sensors and Readout Circuits

Advanced Science, EarlyView.
This review establishes a unified PS–EQ–RF framework linking graphene sensing mechanisms, native electrical outputs, and output‐specific readout circuits. Voltage‐, current‐, resistance‐, and capacitance‐type sensing systems are systematically classified to guide architecture selection, low‐noise design, system co‐design, and practical integration ...
Jinduo Zhang, Meng Chen, Guanchen Li, Ruifeng Liu, Yingxin Wang, Ziran Zhao   +5 more
wiley   +1 more source