Results 121 to 130 of about 225,991 (262)

Predictions From Evolutionary Theory for Urban Environments. [PDF]

Evol Appl
MacPherson A, Caizergues AE, Savary P, Xu K, Messer PW, Akbar MN, Fortin MJ, Holt RD, Hoi AG, Mideo N, Ness R, Peres-Neto PR, Santangelo JS, Johnson MTJ.   +13 more
europepmc   +1 more source

A Simplified Laminar Flow Model for the Pultrusion of Glass Fiber/Polyethylene Terephthalate Commingled Yarns

Advanced Engineering Materials, EarlyView.
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares, Nadège Bouchonneau, Christian Jochum, Donald Radford   +3 more
wiley   +1 more source

Visual information modulates brain network characteristics during static balance following ACL reconstruction - A graph theoretical analysis. [PDF]

Sci Rep
Grinberg A, Lehmann T, Strandberg J, Cobani G, Häger CK.   +4 more
europepmc   +1 more source

Rafting of Ni‐Based Superalloys Under Multiaxial Load as Understood by Phase‐Field Simulations and Critical Experiments

Advanced Engineering Materials, EarlyView.
Phase‐field simulations coupled with dislocation‐density‐based crystal plasticity modeling reproduce γ′ rafting behavior in single‐crystal Ni‐based superalloys under varied loading conditions. The model captures both macroscopic creep and microscopic morphology evolution, with results matching high‐temperature creep experiments.
Micheal Younan, David Bürger, Gunther Eggeler, Oleg Shchyglo, Ingo Steinbach, Muhammad Adil Ali   +5 more
wiley   +1 more source

Experimental and Theoretical Investigation of the <i>κ</i>-Phase (Ag₂Mg₅) in the Ag-Mg System. [PDF]

Materials (Basel)
Gozdur W, Gierlotka W, Bieda M, Gąsior W, Budziak A, Polański M, Pęska M, Dębski A.   +7 more
europepmc   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Psychosocial interventions for adolescents in forced migration: A scoping review protocol. [PDF]

PLoS One
Onietan D, Harri BI, Sodunke T, Anjorin O, Seedu T, Duke AEE, Eboreime E.   +6 more
europepmc   +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

Experimental ¹H, ¹³C and T₁ NMR Studies of Graphene Oxide Interactions with 2-Fluorophenylacetic Acid as a Fluorinated Cathinone Model Supported by Molecular Modelling. [PDF]

Molecules
Makieieva N, Jewgiński M, Małolepszy A, Kupka T.   +3 more
europepmc   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source