Results 141 to 150 of about 259,722 (276)

Bidirectional Charging Systems in Industrial DC Microgrids - Outlook and Modeling

open access: yes
791796Becoming climate neutral requires a series of measures to reduce carbon footprint, and the more efficient and cleaner energy consumption is a major one.
Knapp, Jonas   +3 more
core   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

open access: yesAdvanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung   +7 more
wiley   +1 more source

Forecast-Time-Safe Load Forecasting for Connected and Automated EV Charging Operation: Periodicity-Aware Residual Correction on a Processed Distribution Load Proxy with Public EV Charging Validation

open access: yes
To address the challenge that connected and automated electric vehicle (EV) charging operation requires short-term load forecasts that preserve the current operating level while accurately capturing local ramps and peaks under strict forecast time ...
Yaqi Liang
core   +1 more source

Boosting Ferroelectricity: 2D and Polymer Ferroelectric Hybrids Enabling Ambipolar Nonvolatile MoS2 Memory Transistor

open access: yesAdvanced Science, EarlyView.
Two‐dimensional CuInP2S6 nanosheets are incorporated into a P(VDF‐TrFE) matrix to induce polarization‐cooperative ferroelectric coupling. The resulting P(VDF‐TrFE)/CuInP2S6 hybrid film exhibits reinforced ferroelectric ordering and reduced coercive electric fields compared with pristine P(VDF‐TrFE).
Yeonsu Jeong   +10 more
wiley   +1 more source

Dual‐Module Near‐Infrared Fluorophores Discovery System via Knowledge Transfer

open access: yesAdvanced Science, EarlyView.
This study presents a dual‐module deep learning system for the design of near‐infrared (NIR) fluorophores. A large molecular library is generated and analyzed, leading to the suggestions of promising candidates. The effectiveness of the system is further validated through the synthesis, characterization, and in vivo imaging, demonstrating its potential
Yixin Zhu   +7 more
wiley   +1 more source

Radiation Resilient Synthetic Antiferromagnets‐Based Neuromorphic Device for Sea Surface Temperature Reconstruction

open access: yesAdvanced Science, EarlyView.
By leveraging strong antiferromagnetic coupling, radiation‐tolerant synthetic antiferromagnetic synaptic devices are developed. Their intrinsic nonlinearity emulates neuronal activation, while linear and symmetric conductance modulation mimics synaptic plasticity.
Mingxu Song   +5 more
wiley   +1 more source

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