Results 211 to 220 of about 4,019,444 (298)
Upstreamness and downstreamness in input-output analysis from local and aggregate information. [PDF]
Bartolucci S +3 more
europepmc +1 more source
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
Floral Color Change Mediated by Pollen Input-Output and Its Manipulation of Pollinator Foraging Behavior in Heterostylous Plant <i>Arnebia guttata</i> (Boraginaceae). [PDF]
Ren D, Zheng R, Zhai Y, Zhang A.
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
An inter-city input-output database distinguishing firm ownership in the Greater China area during 2002-2017. [PDF]
Wang Y +16 more
europepmc +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
Prediction of Input-Output Characteristic Curves of Hydraulic Cylinders Based on Three-Layer BP Neural Network. [PDF]
Cai W, Zhang Y, Zhang J, Guo S, Guo R.
europepmc +1 more source
Interpretable modelling of input-output computations in cortex
Bast A +3 more
europepmc +1 more source
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 +2 more
wiley +1 more source

