Results 251 to 260 of about 2,599,225 (293)

Strabismic imaging for correcting in-plane motion distortion in scanning imaging instruments and rolling shutter cameras. [PDF]

Adv Photonics
Ayubi GA, Kunala K, Kowalski B, Hargrave A, Dubra A.   +4 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

Accurate alpha-particle stopping power measurements in graphenic carbon foils and their application to high-precision, non-destructive areal density determination. [PDF]

Sci Rep
Botsiou K, Purushothaman S, Geissel H, Dickel T, Enders J, Haettner E, Morrissey DJ, Saifulin M, Scheidenberger C, Tomut M, Weick H, Zhao J.   +11 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

Proactive soft-failure prediction in optical transport networks via physics-inspired features and Infrastructure-as-Code orchestration. [PDF]

Sci Rep
Ali OM, Radwan AMA, Radwan OMA, Elsherbini MM.   +3 more
europepmc   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Phonon-scattering-induced linear magnetoresistance in the quantum limit up to room temperature. [PDF]

Nat Commun
Tang N, Li S, Liu Y, Yang J, Zuo H, Jin G, Ji Y, Shen B, Zhong D, Guo D, Zhu Q, Yan Z, Lu H, Wang J, Wang H.   +14 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

Table-top three-dimensional photoemission orbital tomography with a femtosecond extreme ultraviolet light source. [PDF]

Nat Commun
Bennecke W, Dinh TL, Bange JP, Schmitt D, Merboldt M, Weinhagen L, van Wingerden B, Frassetto F, Poletto L, Reutzel M, Steil D, Luke DR, Mathias S, Jansen GSM.   +13 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