Results 221 to 230 of about 296,489 (278)

Corrosion type identification in flanged joints using recurrent neural networks on electrochemical noise measurements. [PDF]

Npj Mater Degrad
Hakimian S, Bouzid AH, Hof LA.
europepmc   +1 more source

Light‐Induced Entropy for Secure Vision

Advanced Materials, EarlyView.
This work realized a ternary true random number generator by exploiting stochastic traps emerging within multiple junction interfaces, and quantitatively validated the generation of high‐quality random numbers. Furthermore, it successfully demonstrated diverse applications, including AI‐resilient image security, thereby providing a valuable guide for ...
Juhyung Seo, Seungme Kang, Chaehyun Kim, Taehyun Park, Youngwoo Yoo, Yeong Kwon Kim, Wonjun Shin, Byung Chul Jang, Young‐Joon Kim, Hocheon Yoo   +9 more
wiley   +1 more source

Providing Universal Health Care Access to Filipinos Region-wide using Back Propagation and Recurrent Neural Networks for Finding Optimal Locations to Place Rural Health Unit Facilities in the Philippines. [PDF]

Acta Med Philipp
Reyes MTR, Estuar MRJE, Montalan JRE.
europepmc   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Surrogate modeling of passive microwave circuits using recurrent neural networks and domain confinement. [PDF]

Sci Rep
Sahu KC, Koziel S, Pietrenko-Dabrowska A.   +2 more
europepmc   +1 more source

Topology and Material Optimization in Ultra‐Soft Magneto‐Active Structures: Making Advantage of Residual Anisotropies

Advanced Materials, EarlyView.
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia, Rogelio Ortigosa, Jesús Martínez‐Frutos, Daniel Garcia‐Gonzalez   +3 more
wiley   +1 more source

Application of multi-sensor fusion localization algorithm based on recurrent neural networks. [PDF]

Sci Rep
Huang Z, Ye G, Yang P, Yu W.
europepmc   +1 more source

Elastomeric Micro‐Balloons for Remote Control of Cerebral Blood Flow and Real‐Time In vivo Imaging of Rodent Brain Response to Hypoperfusion

Advanced Materials, EarlyView.
This study reports the fabrication of MRI‐compatible elastomeric micro‐balloons via a multi‐step bubble casting process, where the monolithic elastomeric wall is selectively stiffened for reversible and controlled inflation and elasticity, depending on the target vessels for graded occlusion of cerebral arteries.
Jong Bin Kim, Jinghui Wang, Yinding Chi, Jingxian Wu, Alicia Ng, Guanda Qiao, Honglin Tan, Miroslaw Janowski, Piotr Walczak, Yajie Liang, Shu Yang   +10 more
wiley   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Recurrent neural networks with transient trajectory explain working memory encoding mechanisms. [PDF]

Commun Biol
Liu C, Jia S, Liu H, Zhao X, Li CT, Xu B, Zhang T, Zhang T.   +7 more
europepmc   +1 more source