Results 151 to 160 of about 30,800 (259)
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 +3 more
wiley +1 more source
Three-Dimensional Array Interpolation Imaging Algorithm of Water Holdup by the Capacitance Array Tool of Oil-Water Two-Phase Flow in Horizontal Wells. [PDF]
Zhang D +9 more
europepmc +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
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 +17 more
wiley +1 more source
Mathematical analysis and simulation of an ABC fractional Zika virus model with natural transform and stability assessment. [PDF]
Mariantony Michael J +4 more
europepmc +1 more source
Interpolation Techniques in Numerical Computation
openaire +1 more source
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 +3 more
wiley +1 more source
pygenoscape: a Python package for spatial interpolation and visualization of genetic distance landscapes. [PDF]
Davinack AA, Seaberg RA.
europepmc +1 more source
Numerical stability of barycentric interpolation
In the field of Numerical Analysis, it is common practice to solve an arbitrary mathematical problem through the implementation of a numerical algorithm on a computer. Since not all data of a problem can be represented exactly on a computer as floating-point numbers, it can happen that the algorithm starts with rounding errors already from the initial ...
openaire +1 more source
Multimodal Data‐Driven Microstructure Characterization
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 +4 more
wiley +1 more source
Unifying machine learning and interpolation theory via interpolating neural networks. [PDF]
Park C +11 more
europepmc +1 more source

