Results 81 to 90 of about 4,416,612 (247)
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
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
Yield and Area Elasticities. A Cost Function Approach with Uncertainty [PDF]
This paper develops a method to jointly estimate crop yield elasticities and area elasticities with respect to output prices based on a theoretically consistent model.
Hayes, Dermot J., Rosas, Francisco
core
The death of cost-minimization analysis? [PDF]
Four different types of evaluation methods, cost-benefit analysis (CBA), cost-utility analysis (CUA), cost-effectiveness analysis (CEA) and cost-minimization analysis (CMA), are usually distinguished. In this note, we pronounce the (near) death of CMA by
Bernie J. O'Brien +3 more
core +1 more source
The impact of political uncertainty on the cost of capital
We investigate the impact of political uncertainty on the relationship between foreign equity portfolio flow and the cost of capital. Using panel data from 40 countries from 2001 to 2016, our results show that the year before a national election is ...
Boateng, A. +9 more
core +1 more source
Optimization of the Production of Rubber Compounds Using Mathematical Models
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle +7 more
wiley +1 more source
Connection Situations under Uncertainty [PDF]
cooperative cost games;minimum cost spanning tree situations;robustness;worst-case scenario;input interval data ...
Moretti, S. +3 more
core
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Robust Monetary Policy with the Cost Channel [PDF]
Recent research argues that model uncertainty leads the central bank to adjust interest rates stronger to exogenous disturbances than under certainty.
Peter Tillmann
core
A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source

