Results 101 to 110 of about 569,080 (244)

Design Principles of Electrocatalysts for Industrial‐Scale Water Electrolysis

Advanced Energy Materials, EarlyView.
This Review distills electrocatalyst design for industrial‐scale water electrolysis into integrated principles linking active‐site engineering, phase and lattice modulation, interfacial microenvironment regulation and mass‐transport control. By connecting catalyst families with HER/OER mechanisms and practical operating demands, it outlines pathways ...
Hong Tang, Ce Cui, John Wang
wiley   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Model Predictive Control of a Modular Multilevel Converter with Reduced Computational Burden

Energies
Recent advances in high-power applications employing voltage source converters have been primarily fuelled by the emergence of the modular multilevel converter (MMC) and its derivatives.
Hussein Kadhum, Alan J. Watson, Marco Rivera, Pericle Zanchetta, Patrick Wheeler   +4 more
doaj   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Fractional-Order Composite Control for Fractional-Order Modular Multilevel Converters

Fractal and Fractional
The existing basic control system of fractional-order modular multilevel converters (FO-MMCs) is mainly designed for ideal operating conditions and exhibits limited adaptability under grid unbalanced conditions. To address this issue, this paper proposes
Yongzeng Xie, Fei Lan, Junhua Xu, Yingheng Li, Fulin Luo   +4 more
doaj   +1 more source

Conversor CC-CC buck+boost multinível bidirecional [PDF]

, 2013
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-graduação em Engenharia Elétrica, Florianópolis, 2013Este trabalho apresenta uma nova topologia de conversor cc-cc Buck+Boost bidirecional multinível ...
Costa, Levy Ferreira
core  

Motion and Morphology Planning for Autonomous Manipulation in Clutter With a Shape‐Shifting, Variable‐Stiffness Robot

Advanced Intelligent Systems, EarlyView.
A hybrid mobile robot with a modular Variable‐Stiffness Bridge transitions between a rigid locomotion platform and a flexible, shape‐conforming body. By enclosing objects within its deformable structure rather than relying on dedicated end effectors, the robot achieves orientation‐regulated planar transport, with conformal contact quality shown to ...
Luiza Labazanova, Liuming Qiu, Jose Guadalupe Romero, Li Cheng, Thrishantha Nanayakkara, David Navarro‐Alarcon   +5 more
wiley   +1 more source

Review on Low-Capacitance Techniques for Modular Multilevel Converters

IEEE Access
Modular multilevel converter (MMC) has been the most competitive solution to the high voltage dc systems and has been applied to multiple scenarios, such as long-distance electricity transmission, renewable energy integration, and interconnection of non ...
Zhengxuan Li, Qingming Xin, Fang Cai, Biyue Huang, Qiang Song, Ziyin Wang, Biao Zhao   +6 more
doaj   +1 more source

Energy‐Aware Perturbation Optimization for Memristor‐Array Convolutional Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristor‐array inference becomes more energy efficient when layer inputs are reshaped before computation. Sinusoidal perturbation encoding with dual‐threshold screening reduces active voltage pulses and contracts ADC input‐current ranges, jointly lowering crossbar and peripheral energy while preserving accuracy across hardware MNIST validation, deep ...
Ao Xu, Lun Lu, Youpeng Wu, Yao Guo, Yi Li, Yinan Wang, Qingjiang Li   +6 more
wiley   +1 more source

Single‐Step Analog In‐Memory Matrix Computation in Three‐Dimensional Circuits

Advanced Intelligent Systems, EarlyView.
A wooden model illustrates a 3D memristive array designed for single‐step kernel convolutions. It shows how two‐dimensional input data are mapped into the 3D array and convolved in parallel with stored kernels. Color‐coded connection points represent programmed memory‐element values, with each color corresponding to a specific kernel weight.
Alireza Jaberi Rad, Koushik Kumar, Fatemeh Kiani, Yi Huang, Ali Abdel‐Maksoud, Zheshun Xiong, Yunzhi Ling, Wuyu Zhao, Qiangfei Xia   +8 more
wiley   +1 more source