Results 171 to 180 of about 1,119,408 (283)

Model‐Inversion‐Resistant Physical Unclonable Neural Network Using Vertical NAND Flash Memory

open access: yesAdvanced Science, EarlyView.
Schematic and key features of the proposed forward‐forward physical unclonable neural network (FF‐PUNN), incorporating a concealable physical unclonable function (PUF) layer and forward‐forward (FF) learning. ABSTRACT The growing use of neural networks in privacy‐sensitive applications necessitates architectures that inherently protect both data and ...
Sung‐Ho Park   +8 more
wiley   +1 more source

Diffusion‐Driven Targeted Passivation of Selenium Vacancies via an I‐Doped CdS Buffer Layer for Efficient Sb2Se3 Solar Cells

open access: yesAdvanced Science, EarlyView.
Iodine incorporation into the CdS buffer layer induces spontaneous anion diffusion and selectively passivates selenium vacancies in Sb2Se3 absorbers. The formation of low‐energy, charge‐neutral ISe defects effectively suppresses non‐radiative recombination, resulting in a substantially enhanced open‐circuit voltage and boosting the device efficiency to
Luyan Shen   +6 more
wiley   +1 more source

Synergistic Pyro‐Phototronics and Structural Anisotropy in CsAg2I3/GaN Heterostructures for High‐Performance Polarization‐Sensitive UV Photodetectors

open access: yesAdvanced Science, EarlyView.
The development of polarization‐sensitive ultraviolet photodetectors is limited by poor heterojunction quality and low polarization sensitivity. This study integrates synthesized CsAg2I3 single crystals with intrinsic non‐centrosymmetry into van der Waals heterojunction devices, demonstrating pronounced pyro‐phototronic effect.
Yalin Zhai   +9 more
wiley   +1 more source

Machine Learning for Designing Perovskites and Perovskite‐Inspired Solar Materials: Emerging Opportunities and Challenges

open access: yesAdvanced Science, EarlyView.
This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang   +6 more
wiley   +1 more source

Decoding Structure‐Property Relationships in Anion Exchange Membranes via a Chemically Informed Dual‐Channel Graph Attention Network

open access: yesAdvanced Science, EarlyView.
SPARK decodes structure‐property relationships in anion exchange membranes (AEMs) via a chemically informed dual‐channel graph attention network (DEGAT) that explicitly captures microphase separation. It outputs five‐level grades for hydroxide conductivity and alkaline stability and highlights relevant key structural units, enabling robust pre ...
Wanting Chen   +6 more
wiley   +1 more source

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