Results 71 to 80 of about 1,082,124 (225)
Smart 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
Box-Behnken designed experiments and results.
, 2014 Box-Behnken designed experiments and results.
Teng Chen (573322) +3 more
core +1 more source
Process Optimization of Solution Blow Spinning for Poly (N‐Isopropylacrylamide) Fibers
Journal 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
Bioactive L acidissima protein hydrolysates using Box–Behnken design [PDF]
3 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
Observed responses of Box–Behnken experimental design.
, 2016 Observed responses of Box–Behnken experimental design.
Yunfan Zhao (2901413) +7 more
core +1 more source
Journal of Genetic Engineering and Biotechnology, 2018 The present study was intended to optimize the quorum sensing inhibitory action of Solanum torvum root extract against Chromobacterium violaceum. Factors such as bacterial density, frequency of administration and concentration of extract were analysed ...
Kayeen Vadakkan +4 more
doaj +1 more source
Journal 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
A Bibliometric Review and Visualization of Research Progress in Computational Modeling for Biofuels
Applied 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
Rheological and Mechanical Analyses of Felbinac Cataplasms by Using Box–Behnken Design
Pharmaceutics, 2018 Felbinac, an active pharmaceutical ingredient (API) used clinically for the treatment of osteoarthritis, has poor solubility. Felbinac cataplasm product design was investigated using rheological and mechanical analyses.
Jie Yang +3 more
doaj +1 more source
Machine Learning–Based Optimization of Phthalate Extraction Conditions Using HS‐INME‐GC/MS Data
Journal of Chemometrics, Volume 40, Issue 10, October 2026.ABSTRACT Optimization of extraction conditions in GC/MS analysis remains challenging because experimental variables can interact in complex and nonlinear ways. In this study, a machine learning based chemometric workflow was applied to optimize headspace in‐needle microextraction GC/MS (HS‐INME‐GC/MS) conditions for four phthalates: dimethyl phthalate (
Hyeyoung Jung +2 more
wiley +1 more source