Results 111 to 120 of about 181,263 (248)

Toward Knowledge‐Based Workflows: A Semantic Approach to Atomistic Simulations for Mechanical and Thermodynamic Properties

Advanced Engineering Materials, EarlyView.
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán, Hoang‐Thien Luu, Sarath Menon, Tilmann Hickel, Nina Merkert, Stefan Sandfeld   +5 more
wiley   +1 more source

A high-resolution beach imagery dataset with COCO annotations for deep learning-based <i>Sargassum</i> monitoring in coastal environments. [PDF]

Data Brief
Arellano-Verdejo J, Lazcano-Hernandez HE, Trejo-Morales A, Romero MS.   +3 more
europepmc   +1 more source

Computational complexity theory

, 2015
Walter Dean
semanticscholar   +1 more source

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

Advanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut, Pierre Le Berre, Hamdi Jaballah, Lukas Fink, Victor Poline, Richard Haettel, Stéphane Grenier, Gilbert Chahine, Ewen Bellec, Guillaume Buatier, Wilfried Hortschitz, Santa Pile, Thomas Schrefl, Nils Blanc, Yuan Hong, Thibaut Devillers, Nora M. Dempsey   +16 more
wiley   +1 more source

Traffic flow prediction via dynamic hypergraph learning. [PDF]

PLoS One
Wei S, Yang Y, Wang C.
europepmc   +1 more source

Molecular Dynamics Studies of Shape Memory Polymers: From Bead–Spring Models to Atomistic Simulations

Advanced Engineering Materials, EarlyView.
Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
wiley   +1 more source

An adaptive multi-scale lightweight network for long-distance small traffic sign detection. [PDF]

Sci Rep
Liang R, Qu W, Li S.
europepmc   +1 more source

Computing complex systems. The Santa Fe Institute's economy and geography and the computational bent of complexity sciences

Complexity sciences are a multidisciplinary and transnational field of study that aims at modeling natural, artificial, and social “complex systems.” In most complexity institutes in the world, the only in-house infrastructures are computational in nature, while physical, chemical, biological, and behavioral science instrumentation is a rare exception.
openaire   +1 more source

Computational complexity of threshold automata networks under different updating schemes

Theoretical Computer Science, 2014
E. Ch., Pedro Montealegre
semanticscholar   +1 more source

Experimental Characterization and Constitutive Modeling of the Effect of Prior Inelastic Strain on the Viscoplastic Behavior of AD730 at 700 °C

Advanced Engineering Materials, EarlyView.
This study shows that superalloys used in aircraft engine disks become much more prone to deformation at high temperatures if they have been strained during manufacturing. This effect increases with the level of prior strain but eventually reaches a limit.
Fabio Machado Alves da Fonseca, Patrick Villechaise, Malik Durand, Arnaud Longuet, Florent Coudon, Loïc Signor, Julien De Jaeger, Dominique Eyidi, Nathalie Bozzolo, Jonathan Cormier   +9 more
wiley   +1 more source