Results 31 to 40 of about 13,793,568 (219)
On the Sequencing of Projects, Reputation Building and Relationship Finance [PDF]
We study the decision entrepreneurs face in financing multiple and independent projects.If strategic defaults are assessed likely to occur, for example if judicial efficiency is low, entrepreneurs delay projects to seek sequential financing from a ...
Egli, D., Smith, D.C., Ongena, S.
core +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
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
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič +7 more
wiley +1 more source
Une valeur fondamentale en finance ?
La Chaire Ethique et finance de l'Institut Catholique de Paris organise le vendredi 13 avril de 9h à 13h une matinée d'étude sur la mise au travail du concept de loi naturelle dans la culture économique et financière. Cette demi-journée s’adresse à toute
Ethique et Finance
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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
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Title varies slightly.Description based on: 1895; title from cover.Report year ends Dec. 31.Mode of access: Internet.Continued by: Hawaii. Dept. of Finance. Biennial report of the Minister of Finance for the period ending ..
Hawaii. Dept. of Finance.
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This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Finance chrétienne et finance musulmane
Séance du 3 mars 2011 : Michèle Leclerc-Olive (CNRS-EHESS, IRIS) et Sylvain Piron (EHESS, CRH-GAS) Introduction par Michèle Leclerc-Olive : Quelques réflexions introductives pour aborder la finance islamique contemporaine Conférence de Sylvain Piron ...
Ethique et Finance
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