Results 91 to 100 of about 51,627 (264)

Explicit and implicit modeling of nanobubbles in hydrophobic confinement

Anais da Academia Brasileira de Ciências, 2010
Water at normal conditions is a fluid thermodynamically close to the liquid-vapor phase coexistence and features a large surface tension. This combination can lead to interesting capillary phenomena on microscopic scales.
Joachim Dzubiella
doaj   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

Advanced Engineering Materials, EarlyView.
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling, Philipp von Hartrott, Jörg Waitelonis, Thomas Hanke, Henk Birkholz, Hossein Beygi Nasrabadi, Khashayar Razghandi, Kamilla Zaripova, Felix Thonagel, Fabian Neuhaus, Martin Glauer, Lars Vogt, Harald Sack, Lutz Mädler, Bernd Bayerlein, Chris Eberl   +15 more
wiley   +1 more source

The Extrapolation Power of Implicit Models

CoRR
In this paper, we investigate the extrapolation capabilities of implicit deep learning models in handling unobserved data, where traditional deep neural networks may falter. Implicit models, distinguished by their adaptability in layer depth and incorporation of feedback within their computational graph, are put to the test across various extrapolation
Juliette Decugis, Alicia Y. Tsai, Max Emerling, Ashwin Ganesh, Laurent El Ghaoui   +4 more
openaire   +2 more sources

Mimicking Silent Synapse Recruitment: A SiOx/Cu‐Pancake Memristive Device For Analog Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Electroforming‐free TiN/SiOx/Cu/SiOx/TiN memristive devices exploit pancake‐like Cu nanoparticles embedded in a SiOx double layer to create a heterogeneous Schottky‐barrier landscape. Under bias, oxygen‐vacancy redistribution progressively lowers local barriers and recruits initially inactive Cu‐PC pathways into a parallel conduction ensemble, enabling
Rouven Lamprecht, Ole Gronenberg, Sahitya Yarragolla, Tobias Gergs, Richard Marquardt, Victor Witte, Jürgen Carstensen, George Popkirov, Jan Trieschmann, Lorenz Kienle, Hermann Kohlstedt   +10 more
wiley   +1 more source

Cellular Responses to Mechanical Cues Across Scales: From Fundamental Insights to Translational Potential

Advanced Healthcare Materials, EarlyView.
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz, Manuel P. Kainz, Niklas Haider, Theresa Rienmüller, Kerstin Lenk, Rupert Kargl, Michele Terzano, Gerhard Sommer, Gerhard A. Holzapfel, Julia Fuchs   +9 more
wiley   +1 more source

Small-Signal Stability Analysis of Power Systems by Implicit Multilinear Models

IEEE Access
This paper proposes a new approach to perform small-signal stability analysis based on linearization of implicit multilinear models. Multilinear models describe the system dynamics by multilinear functions of state, input, and algebraic variables.
Christoph Kaufmann, Georg Pangalos, Gerwald Lichtenberg, Oriol Gomis-Bellmunt   +3 more
doaj   +1 more source

TECHNICAL IMPLEMENTATION OF DISTRIBUTED CONTROLLERS

Современная наука и инновации, 2022
The article features a comparison of effectiveness of algorithms that use explicit and implicit difference methods by the example of computer modeling heat distribution in a two dimensional homogenous metal plate.
Sergey Dmitrievich Lomkov
doaj  

Multifunctional Catechol‐Functionalized Cellulose Hydrogels for the Minimally Invasive Treatment of Acute Optic Nerve Injuries

Advanced Healthcare Materials, EarlyView.
Catechol‐functionalized cellulose hydrogels are developed as injectable, bioadhesive platforms for retinal neuroprotection. The hydrogels exhibit tunable rheological and mechanical properties, strong tissue adhesion, and sustained antioxidative activity.
Kai‐Hsiang Chang, Yi‐Ke Lin, Wei‐Li Chen, Ta‐Ching Chen, Jiashing Yu   +4 more
wiley   +1 more source

RobotSDF: Implicit Morphology Modeling for the Robotic Arm

Sensors
The expression of robot arm morphology is a critical foundation for achieving effective motion planning and collision avoidance in robotic systems. Traditional geometry-based approaches usually suffer from the contradiction between the high demand for ...
Yusheng Yang, Jiajia Liu, Hongpeng Zhou, Afimbo Reuben Kwabena, Yuqiao Zhong, Yangmin Xie   +5 more
doaj   +1 more source