Results 161 to 170 of about 1,779,160 (413)

Fast Neural Network Predictions from Constrained Aerodynamics Datasets

, 2019
Incorporating computational fluid dynamics in the design process of jets, spacecraft, or gas turbine engines is often challenged by the required computational resources and simulation time, which depend on the chosen physics-based computational models ...
Chen T. Q., Javadi A., Lagaris I. E., San O., Shazeer N., Tompson J., Wu T., Zahr M. J.   +7 more
core   +1 more source

Organic Permeable Base Transistors—Reliable Large‐Scale Anodization for High Frequency Devices

Advanced Functional Materials, EarlyView.
Electrochemical anodization is optimized for organic permeable base transistors (OPBTs), achieving an unprecedented 87% yield and reproducibility for vertical organic transistors (VOTs) on a 15 x 15 cm wafer. Controlled Al base oxidation ensures a median transconductance of 10−3 S, leakage current below 10−9 A, current gain of 106, and transit ...
Amric Bonil, Ghader Darbandy, Jan Frede, Moritz Flemming, Christian Matthus, Lautaro Petrauskas, Juan Wang, Kyung‐Geun Lim, Hans Kleemann   +8 more
wiley   +1 more source

Computers '95: Fluid Dynamics [PDF]

Science, 1995
Tim Appenzeller, Brooks Hanson
openaire   +3 more sources

3D In Vitro Glioma‐Neuron‐Astrocyte Biomimetic Composites Recapitulate Key Molecular Mechanisms Linked to Glioblastoma Multiforme Pathophysiology

Advanced Functional Materials, EarlyView.
Glioblastoma multiforme is the most devastating and incurable brain tumor. To better study this disease, a 3D model is developed using a hyaluronic acid‐based hydrogel combined with a multicellular approach. This model recapitulates in vivo brain stiffness, cell‐extracellular matrix and cell‐cell interactions and the tumor's hijacking function with the
Mateo S. Andrade Mier, Esra Türker, Jessica Faber, Mike Friedrich, Zan Lamberger, Jeannette Weigelt, Panthipa Suwannakot, Benedikt Gantert, Abhinav Singh, Vanessa Moessler, Annemarie Sodmann, Nicoletta Murenu, Joachim Schenk, Natascha Schaefer, Torsten Blunk, Aldo R. Boccaccini, Tessa C. Lühmann, Jörg Tessmar, Jeremy M. Crook, Eva Tomaskovic‐Crook, Paul D. Dalton, Gregor Lang, Robert Blum, Reiner Strick, Silvia Budday, Katrin G. Heinze, Carmen Villmann   +26 more
wiley   +1 more source

Chiral Engineered Biomaterials: New Frontiers in Cellular Fate Regulation for Regenerative Medicine

Advanced Functional Materials, EarlyView.
Chiral engineered biomaterials can selectively influence cell behaviors in regenerative medicine. This review covers chiral engineered biomaterials in terms of their fabrication methods, cellular response mechanisms, and applications in directing stem cell differentiation and tissue function.
Yuwen Wang, Xin Zhang, Denghui Xie, Chunying Chen, Zhifeng Huang, Zhong Alan Li   +5 more
wiley   +1 more source

Winter precipitation predictability in Central Southwest Asia and its representation in seasonal forecast systems

npj Climate and Atmospheric Science
In Central Southwest Asia (CSWA; 22°N to 40°N and 30°E to 70°E), winter (November to February) precipitation contributes up to 70% of the annual mean, but substantial interannual variations exist.
Matthew F. Horan, Fred Kucharski, Nathaniel Johnson, Moetasim Ashfaq   +3 more
doaj   +1 more source

Interpretation of waverider performance data using computational fluid dynamics [PDF]

, 1994
Charles E. Cockrell
openalex   +1 more source

Some rotorcraft applications of computational fluid dynamics [PDF]

The growing application of computational aerodynamics to nonlinear rotorcraft problems is outlined, with particular emphasis on the development of new methods based on the Euler and thin-layer Navier-Stokes equations.
Mccroskey, W. J.
core   +1 more source

Print‐and‐Plate Architected Electrodes for Electrochemical Transformations Under Flow

Advanced Functional Materials, EarlyView.
Typical flow cell electrodes are composed of stochastic porous carbon, limiting understanding of electrode structure‐performance relationships. This work describes an approach, termed “print‐and‐plate,” to prepare porous electrodes by direct ink writing followed by conformal metal coating.
Dylan M. Barber, Sofía Edgar, Michael S. Emanuel, Michael D. Nelwood, Bok Yeop Ahn, Benito Román‐Manso, Thomas Cochard, Justin Platero, Kiana Amini, Chris H. Rycroft, Shmuel Rubinstein, Michael J. Aziz, Jennifer A. Lewis   +12 more
wiley   +1 more source

A Physically‐Based Machine Learning Approach Inspires an Analytical Model for Spider Silk Supercontraction

Advanced Functional Materials, EarlyView.
Starting from an experimental database, a physically‐based machine learning approach is used to gain new insights into spider silk supercontraction. These insights inspire a microstructure‐based analytical model that quantitatively predicts supercontraction based on protein primary structure properties. New experiments to further elucidate the physical
Vincenzo Fazio, Ali D. Malay, Keiji Numata, Nicola M. Pugno, Giuseppe Puglisi   +4 more
wiley   +1 more source