Results 81 to 90 of about 451,945 (247)

Multistable Physical Neural Networks

Advanced Intelligent Systems, EarlyView.
This article presents the integration of mechanical bistability into physical neural networks (PNNs), enabling memory retention and bridging computation with physical action. By mapping the equilibrium states of bistable, liquid‐filled chambers, it explores stability and introduces global and local training algorithms.
Ben‐Haim Eran, Givli Sefi, Or Yizhar, Gat D. Amir   +3 more
wiley   +1 more source

Fully distributed consensus of nonlinear fractional multi‐agent systems based on combined event‐triggered mechanism

Mathematical Methods in the Applied Sciences, EarlyView., 2022
This article focuses on the fully distributed leader‐following consensus problem of nonlinear fractional multi‐agent systems via event‐triggered control technique. The main intention of this article is to design a novel event‐triggered mechanism, which not only takes into account both the relative error and the absolute error of the samples but also ...
Qiaoping Li, Chao Yue
wiley   +1 more source

Uncontrolled Learning: Codesign of Neuromorphic Hardware Topology for Neuromorphic Algorithms

Advanced Intelligent Systems, EarlyView.
Codesign is used to implement a neuroscience‐inspired machine learning algorithm in all neuromorphic hardware. In this implementation, the hidden memristors cannot be directly accessed, limiting control of the network during training. By leveraging theoretical tools, including memristor circuits dynamics and a closed form expression for the network ...
Frank Barrows, Jonathan Lin, Francesco Caravelli, Dante R. Chialvo   +3 more
wiley   +1 more source

Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel, Martin Børstad Eriksen, Alejandro Castro‐Alvarez, Jose H. Garcia, Marc Botifoll, Oscar Avalos‐Ovando, Jordi Arbiol, Aitor Mugarza   +7 more
wiley   +1 more source

Polymer Flooding Dynamics in Enhanced Oil Recovery: A Pore‐Scale Study of the Influence of Shear‐Thinning Rheology on Flow Dynamics and Recovery Efficiency

Journal of Applied Polymer Science, EarlyView.
This study explores how polymer behavior affects oil recovery in porous rocks. It shows that shear‐thinning polymers become less effective at high flow rates, reducing oil displacement efficiency. The findings highlight the need to optimize polymer injection rates and formulations for better recovery.
Ebuka David, Steven R. McDougall, Eric J. Mackay, Precious Ogbeiwi   +3 more
wiley   +1 more source

Analysis of plant metabolomics data using identification‐free approaches

Applications in Plant Sciences, EarlyView.
Abstract Plant metabolomes are structurally diverse. One of the most popular techniques for sampling this diversity is liquid chromatography–mass spectrometry (LC‐MS), which typically detects thousands of peaks from single organ extracts, many representing true metabolites.
Xinyu Yuan, Nathaniel S. S. Smith, Gaurav D. Moghe   +2 more
wiley   +1 more source

Advanced Nanoscale Functionalities for Water and Energy Technologies

Advanced Physics Research, EarlyView.
Nanofluidics explores fluid and ion transport under nanoscale confinement, driving advancements in water treatment and energy technologies. With applications in high‐efficiency desalination, osmotic energy generation, and scalable energy storage, it leverages unique material properties and confinement effects to address critical challenges in ...
Zhi Xu, Nan Wu, Soufiane Abdelghani‐Idrissi, Corentin Trégouët, Javier Perez‐Carvajal, Annie Colin, Ming Ma, Antoine Niguès, Alessandro Siria   +8 more
wiley   +1 more source

Concepts of general topology in constructive mathematics and in sheaves

, 1981
R.J. Grayson
openalex   +1 more source

Showcasing the Structure and Properties of Lanthanide‐Doped BaTiO3

Advanced Physics Research, EarlyView.
Understanding the defect chemistry of Ln‐doped BTO, as well as the distribution of Ln ions inside the BTO host, is a challenge in the study of functional perovskite oxides. It provides important insights into the future development of Ln‐doped BTO materials, particularly in the context of low‐carbon transition strategies and renewable technologies that
Takeshi Nakagawa, Melita Menelaou, Martina Vrankić   +2 more
wiley   +1 more source

Topological and variational modularity: A case study using the pectoral girdle across the Chrosomus eos‐neogaeus hybridization complex

The Anatomical Record, EarlyView.
Abstract Modularity and integration are key developmental properties and have remained central in evo‐devo research because of how they relate to evolvability. While modularity and integration have commonly been assessed with landmark‐based geometric morphometrics (GMM), other methods such as anatomical network analysis (AnNA) are increasingly being ...
Kevin K. Duclos, Thomas Grünbaum, Bernard Angers, Richard Cloutier, Heather A. Jamniczky   +4 more
wiley   +1 more source