Results 91 to 100 of about 849,778 (293)

Integrating Machine Learning with Hybrid and Surrogate Models to Accelerate Multiscale Modeling of Acute Respiratory Infections

Viruses
Accurate, efficient, and explainable modeling of the dynamics of acute respiratory infections (ARIs) remains, in many aspects, a significant challenge.
Andrey Korzin, Maria Koshkareva, Vasiliy Leonenko   +2 more
doaj   +1 more source

Investigation of Oxygen‐Free Wetting Behavior of Aluminum on Copper via Molecular Dynamics Simulations and Experiments

Advanced Engineering Materials, EarlyView.
The wettability of aluminum droplets (Al) on different copper substrates (Cu), where liquid Al spreads on solid Cu surfaces to form a liquid–solid interface, is studied numerically and experimentally. The experimental and numerical results show good agreement in the fast‐spreading regime.
Shan Lyu, Timon Steinhoff, Finn‐Lennard Janthur, Sarah Seffer, Jörg Hermsdorf, Christian Klose, Ludger Overmeyer, Hans‐Jürgen Maier, Nina Merkert   +8 more
wiley   +1 more source

Digital Twin Approaches for Gear NVH Optimization: A Literature Review of Modeling, Data Integration, and Validation Gaps

Machines
Quiet drivetrains have become a central requirement in modern electric vehicles, where the absence of engine masking makes even subtle gear tones clearly audible.
Krisztian Horvath, Ambrus Zelei
doaj   +1 more source

Hybrid modeling design patterns

Journal of Mathematics in Industry
AbstractDesign patterns provide a systematic way to convey solutions to recurring modeling challenges. This paper introduces design patterns for hybrid modeling, an approach that combines modeling based on first principles with data-driven modeling techniques.
Maja Rudolph, Stefan Kurz, Barbara Rakitsch   +2 more
openaire   +5 more sources

Additive Manufacturing of Continuous Fibre Reinforced Composites: Process, Characterisation, Modelling, and Sustainability

Advanced Engineering Materials, EarlyView.
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley   +1 more source

Incorporating Time Delays in Process Hitting Framework for Dynamical Modeling of Large Biological Regulatory Networks

Frontiers in Physiology, 2019
Modeling and simulation of molecular systems helps in understanding the behavioral mechanism of biological regulation. Time delays in production and degradation of expressions are important parameters in biological regulation.
Iftikhar Ali Sheikh, Jamil Ahmad, Jamil Ahmad, Morgan Magnin, Olivier Roux   +4 more
doaj   +1 more source

Numerical Exploration of Thermal Shock Resistance in MgO–C Refractories

Advanced Engineering Materials, EarlyView.
A mesostructure‐resolved numerical framework is developed to evaluate the thermal shock resistance of MgO–C refractories. By modeling interface debonding under rapid temperature changes and introducing a modified thermal shock parameter that accounts for mesocracks, the study shows how graphite content and aggregate size influence thermal shock ...
Jishnu Vinayak Gopi, Stephan Roth, Christos G. Aneziris, Bjoern Kiefer   +3 more
wiley   +1 more source

Integration of AI-driven digital twins for real-time optimization of renewable energy grids

Frontiers in Energy Research
The increasing integration of renewable energy sources, such as solar photovoltaics, wind turbines, hydropower, and energy storage systems, introduces substantial variability and complexity into modern power grids.
Chinyere Nneoma Ugwu, Fabian Chukwudi Ogenyi, Jovita Nnenna Ugwu, Paul-Chima Okechukwu Ugwu, Micheal Ben Okon   +4 more
doaj   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Hybrid Modeling for Bioprocesses: Architectures, Applications, and Perspectives

Engineering Reports
Recent hardware developments within industrial digitalization make more evident the need of high‐fidelity models to exploit process system engineering potential in biomanufacturing.
Juan Federico Herrera‐Ruiz, Javier Fontalvo, Oscar Andrés Prado‐Rubio   +2 more
doaj   +1 more source