Results 81 to 90 of about 10,233,470 (229)

BayesianKAN: A reaction condition optimization framework integrating Kolmogorov‐Arnold network and Bayesian optimization

open access: yesSmart Molecules, EarlyView.
A novel BayesianKAN framework integrates Kolmogorov‐Arnold networks with Bayesian optimization to efficiently navigate complex factor spaces, accelerating the discovery of optimal reaction conditions for chemical synthesis. Abstract Efficient optimization of chemical reaction conditions is crucial for enhancing reaction yield and selectivity, yet ...
Juntao Wang   +5 more
wiley   +1 more source

Optimization of the preparation of chitosan nanoparticles loaded with bifendate using the Box–Behnken design

open access: yesResults in Chemistry
The aim of this research is to explore new techniques for preparing a cross-linked three-dimensional network nanogel structure (CS-NPS) loaded with bifendate (DDB). The ionic cross-linking method was used to prepare CS-NPS from tripolyphosphate (TPP) and
Lifeng Yang, Pinjin Zheng, Zexin Chen
doaj   +1 more source

Process Optimization of Solution Blow Spinning for Poly (N‐Isopropylacrylamide) Fibers

open access: yesJournal of Applied Polymer Science, Volume 143, Issue 40, October 20, 2026.
Solution blow spinning has emerged as a safe and scalable technique for fabricating thermoresponsive PNIPAM fibers. The influence of key parameters on jet stability and fiber uniformity is determined through both rheological analysis and statistical process optimization. A Box–Behnken design reveals an optimized window for producing PNIPAM fibers below
Maryam Parastar   +2 more
wiley   +1 more source

The Box-Behnken experimental design with four independent variables.

open access: yes, 2018
The Box-Behnken experimental design with four independent variables.
Zunlai Sheng (5628983)   +3 more
core   +1 more source

Bioactive L acidissima protein hydrolysates using Box–Behnken design [PDF]

open access: yes3 Biotech, 2017
This study examines the extraction and hydrolysis of proteins using single factor and Box-Behnken Design (BBD). From single factor tests, optimised extraction parameters were 1% alkali concentration, 40 °C temperature, 60 min time, and 1:20 solid to alkali ratio. Under these conditions; 924.31 mg/g of total protein was obtained from Limonia acidissima (
Sachin K, Sonawane, Shalini S, Arya
openaire   +2 more sources

Phosphorylation of Milkweed Fibers With a Phosphate Ester: Effect on Fiber Properties and Optimization of Reaction Conditions

open access: yesJournal of Applied Polymer Science, Volume 143, Issue 40, October 20, 2026.
The phosphorylation of milkweed fibers using the phosphate ester/urea system was optimized. The impact of reaction temperature, duration, and phosphate ester ratio on the efficiency of phosphorylation was investigated using the design of experiments approach.
Ahmed Azrrar   +4 more
wiley   +1 more source

Determinação de Cd e Pb em urina e sangue por espectrometria de absorção atômica em forno de grafite após extração no ponto nuvem com otimização multivariada: aplicação em trabalhadores de uma fundição [PDF]

open access: yes, 2007
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Ciências Físicas e Matemáticas. Programa de Pós-Graduação em Química.A extração no ponto de nuvem (CPE) é proposta como um procedimento de pré-concentração para a determinação de ...
Maranhão, Tatiane de Andrade
core  

The level of variables for the Box-Behnken design.

open access: yes, 2014
The level of variables for the Box-Behnken design.
Boris B. Kuznetsov (645034)   +6 more
core   +1 more source

Design, development and optimization of gastro-retentive floating in-situ gels loaded with carvedilol microspheres using response surface methodology

open access: yesActa Marisiensis - Seria Medica
Aim: The goal of this study was to formulate and optimize gastro-retentive floating in-situ gel comprising optimized microspheres by Box-Behnken design.
Kukati Latha   +4 more
doaj   +1 more source

A Bibliometric Review and Visualization of Research Progress in Computational Modeling for Biofuels

open access: yesApplied Research, Volume 5, Issue 5, October 2026.
This bibliometric mapping of biomass‐to‐biofuel computational modeling research (2003–2025) traces the field's rapid growth, key contributors, and international collaboration networks, revealing a decisive shift toward multiscale, hybrid, and AI‐enabled modeling as the field's next frontier for sustainable biofuel production. ABSTRACT The conversion of
Rana Sohaib Ahmad   +5 more
wiley   +1 more source

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