Results 91 to 100 of about 1,628,090 (248)

Sequential Convex Programming for Reentry Trajectory Optimization Utilizing Modified hp-Adaptive Mesh Refinement and Variable Quadratic Penalty

Aerospace
Due to the strong nonlinearity in the reentry trajectory planning problem for reusable launch vehicles (RLVs), the scale of the problem after high-precision discretization can become significantly large, and the non-convex path constraints are prone to ...
Zhe Liu, Naigang Cui, Lifu Du, Jialun Pu
doaj   +1 more source

Accelerated Estimation of Pulmonary Artery Stenosis Pressure Gradients with Distributed Lumped Parameter Modeling vs. 3D CFD with Instantaneous Adaptive Mesh Refinement: Experimental Validation in Swine. [PDF]

Ann Biomed Eng, 2021
Pewowaruk R, Lamers L, Roldán-Alzate A.
europepmc   +1 more source

Stretchable Microelectrode Arrays for Electro‐Mechanical Probing of Brain Spheroids

Advanced Healthcare Materials, EarlyView.
A multimodal device featuring kirigami‐patterned stretchable microelectrode arrays enables concurrent mechanical actuation and electrophysiological recording of brain spheroids. The platform supports multiple loading regimes and reveals mechanically induced modulation of spontaneous network activity in 3D neural tissue models.
Eleonora Martinelli, Ivan Furfaro, Flavius Timis, João Marques, Tala El Kaissi, Desirée Maulà, Laurine Kolly, Julian Bär, Sina Röllin, Scott Erickson, Laetitia Nikles, Benoît Delaup, Camille Delgrange, Loris Gomez Baisac, Luc Stoppini, Adrien Roux, Giuseppe Schiavone, Stéphanie P. Lacour   +17 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

A dynamic mesh refinement in Physic-Informed Neural Networks for handling Stiff Partial Differential Equations

Alexandria Engineering Journal
Stiff Partial Differential Equations (PDEs) pose considerable challenges due to the presence of steep gradients, which often lead to large residuals when employing coarse training mesh grids, while excessively refined grids substantially increase ...
Nursyiva Irsalinda, Maharani A. Bakar, Fatimah Noor Harun, Ruwaidiah Idris, Sugiyarto Surono   +4 more
doaj   +1 more source

Experimenting with the p4est library for AMR simulations of two-phase flows

ESAIM: Proceedings and Surveys, 2016
Many physical problems involve spatial and temporal inhomogeneities that require a very fine discretization in order to be accurately simulated. Using an adaptive mesh, a high level of resolution is used in the appropriate areas while
Drui Florence, Fikl Alexandru, Kestener Pierre, Kokh Samuel, Larat Adam, Le Chenadec Vincent, Massot Marc   +6 more
doaj   +1 more source

Adaptive mesh refinement techniques for electrical impedance tomography

, 2001
Adaptive mesh refinement techniques can be applied to increase the efficiency of electrical impedance tomography reconstruction algorithms by reducing computational and storage cost as well as providing problem-dependent solution structures.
Daniell, G.J., Molinari, M., Cox, S.J., Blott, B.H., Blott, B. H., Cox, S. J., Daniell, G. J.   +6 more
core   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

Achieving Higher Levels of Crack Simulation with the Improved Adaptive Static Condensation Method

Buildings
Accurately simulating concrete cracking in large-dimensional structures is a challenging task. To address this issue, an adaptive static condensation (ASC) method has been developed that has demonstrated effectiveness in localized nonlinearities. The ASC
Ali Mezher, Ludovic Jason, Gauthier Folzan, Luc Davenne   +3 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source