Results 181 to 190 of about 3,113,242 (314)

Self‐Assembled Membranes for High Ion Selectivity and Proton Blocking in Electrochemical Applications

Advanced Functional Materials, EarlyView.
Phase‐separated alkyl poly(vinylimidazolium) membranes exhibit exceptional ionic conductivity, counter‐ion selectivity, and proton‐blocking ability by forming stable micro/macrophase‐separated domains. This design overcomes the conductivity–selectivity trade‐off in conventional ion‐exchange membranes (IEMs), offering a new paradigm for high‐performance
Min Gyu Shin, José C. Díaz, Jovan Kamcev   +2 more
wiley   +1 more source

Systems modeling and uncertainty quantification of AMP-activated protein kinase signaling. [PDF]

NPJ Syst Biol Appl
Linden-Santangeli N, Zhang J, Kramer B, Rangamani P.   +3 more
europepmc   +1 more source

PATIENT VARIABILITY AND UNCERTAINTY QUANTIFICATION IN ANESTHESIA: PART I – PKPD MODELING AND IDENTIFICATION

, 2006
S. Bibian, Guy A. Dumont, M. Huzmezan, Craig R. Ries   +3 more
openalex   +1 more source

Quantifying uncertainties in precipitation: a case study from Greece [PDF]

, 2008
Christina Αnagnostopoulou, Κωνσταντία Τολίκα, P. Maheras, H. Reiser, H. Kutiel   +4 more
openalex   +1 more source

Gaussian‐Sigmoid Reinforcement Transistors: Resolving Exploration‐Exploitation Trade‐Off Through Gate Voltage‐Controlled Activation Functions

Advanced Functional Materials, EarlyView.
The characteristics of a vertical n–p–i–p heterostructure transistor device, which exhibits a voltage‐tunable transition between Gaussian and sigmoid functions, are investigated. The mixed state of the transfer curve enables the utilization of both exploitation and exploration, improving computational performance in reinforcement learning tasks ...
Jisoo Park, Juhyung Seo, Ryun‐Han Koo, Dinithi Jayasuriya, Nethmi Jayasinghe, Wonjun Shin, Amit R. Trivedi, Hocheon Yoo   +7 more
wiley   +1 more source

Utilizing CNNs for classification and uncertainty quantification for 15 families of European fly pollinators. [PDF]

PLoS One
Stark T, Wurm M, Ştefan V, Wolf F, Taubenböck H, Knight TM.   +5 more
europepmc   +1 more source

An Ultra‐Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective Vertical Channels for Neuromorphic Computing

Advanced Functional Materials, EarlyView.
An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu, Hongyi Dou, Jeremy B. Gan, Cun Li, Xuanyu Sheng, Juanjuan Lu, Abhijeet Choudhury, Jialong Huang, Yizhi Zhang, Zhongxia Shang, Ye Cao, Xinghang Zhang, Haiyan Wang   +12 more
wiley   +1 more source

Blood Flow Simulation and Uncertainty Quantification in Extensive Microvascular Networks: Application to Brain Cortical Networks. [PDF]

Microcirculation
Rasmussen PM.
europepmc   +1 more source

Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 developers manual.

, 2006
Joshua Griffin, Michael Eldred, Monica Martinez-Canales, Jean‐Paul Watson, Tamara G. Kolda, Anthony Giunta, Brian Adams, Laura Swiler, Pamela Williams, Patricia Hough, David M. Gay, Daniel Dunlavy, John A. Eddy, William E. Hart, Shannon R. Brown   +14 more
openalex   +2 more sources

Quantifying the Uncertainty in Measurements for MBAC [PDF]

, 2009
Anne Nevin, Peder J. Emstad, Yuming Jiang, Guoqiang Hu   +3 more
openalex   +1 more source