Results 101 to 110 of about 865,198 (295)

Elinvar Materials: Recent Progress and Challenges

Advanced Engineering Materials, EarlyView.
Elinvar materials, exhibiting temperature‐invariant elastic modulus, are critical for precision instruments and emerging technologies. This article reviews recent progress in the field, with a focus on the anomalous thermoelastic behavior observed in key material systems.
Wenjie Li, Yang Ren
wiley   +1 more source

Lagrangian flow measurements and observations of the 2015 Chilean tsunami in Ventura, CA

Geophysical Research Letters, 2016
Tsunami‐induced coastal currents are spectacular examples of nonlinear and chaotic phenomena. Due to their long periods, tsunamis transport substantial energy into coastal waters, and as this energy interacts with the ubiquitous irregularity of ...
Nikos Kalligeris, Vassilios Skanavis, Sasan Tavakkol, Aykut Ayca, Hoda El Safty, Patrick Lynett, Costas Synolakis   +6 more
doaj   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Coherent Momentum Exchange above and within a Scots Pine Forest

Atmosphere, 2016
Biorthogonal decomposition (BOD) is used to detect and study synchronous coherent structures occurring at multiple levels in the vertical momentum flux (u′w′) within and above a planted Scots pine forest during a 12-week continuous measurement period. In
Manuel Mohr, Dirk Schindler
doaj   +1 more source

Homotopy coherent structures

, 2018
Naturally occurring diagrams in algebraic topology are commutative up to homotopy, but not on the nose. It was quickly realized that very little can be done with this information. Homotopy coherent category theory arose out of a desire to catalog the higher homotopical information required to restore constructibility (or more precisely, functoriality ...
openaire   +2 more sources

Packaging of Macroscopic Material Payloads: Needs, Challenges, Concepts, and Future Directions

Advanced Engineering Materials, EarlyView.
This review introduces a unified framework that decomposes any macroscopic packaging system into the payload, packaging material, and packaging strategy and combines them into a conceptual packaging equation: packaging strategy = payload + packaging material.
Venkata S. R. Jampani, Manos Anyfantakis
wiley   +1 more source

Derivation and Implementation of a Non‐Local Term to Improve the Oceanic Convection Representation Within the k–ɛ Parameterization

Journal of Advances in Modeling Earth Systems
The representation of turbulent fluxes during oceanic convective events is important to capture the evolution of the oceanic mixed layer. To improve the accuracy of turbulent fluxes, we examine the possibility of adding a non‐local component in their ...
Alexandre Legay, Bruno Deremble, Hans Burchard   +2 more
doaj   +1 more source

Towards a two-fluid picture of intermittency in shell models of turbulence

, 1997
Intermittency in the Gledzer-Okhitani-Yamada (GOY) model of turbulence is explained in terms of collisions of coherent soliton-like structures with a random background issuing from the desintegration of their predecessors.
Dombre, T., Gilson, J. L.
core   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Mesoscopic superposition and sub-Planck-scale structure in molecular wave packets

, 2007
We demonstrate the possibility of realizing sub-Planck-scale structures in the mesoscopic superposition of molecular wave packets involving vibrational levels.
A. M. Perelomov, Aravind Chiruvelli, J. Banerji, P. Földi, P. K. Panigrahi, Suranjana Ghosh, W. P. Schleich   +6 more
core   +1 more source