Results 41 to 50 of about 9,604,216 (233)
The Design of Experiments (DoE) method is a fundamental tool in quality management, providing a structured approach to process optimisation, reducing variability, and identifying key factors that influence outcomes. By systematically planning, executing,
Aleksy Kwilinski, Maciej Kardas
doaj +1 more source
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source
Inverse Design of Nanoparticulate Materials
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré +5 more
wiley +1 more source
Confounding and Fractional Replication in Factorial Design [PDF]
In factorial experiments when the number of factors or the levels of factors are increased the number of treatment combinations increased rapidly. Also, it becomes difficult to maintain the homogeneity between experimental units. To overcome the decrease
Ahmed, Layla A.
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In this study, a model to improve the degradability of methylene blue (MB) dye using graphene oxide/TiO2/SiO2 nanocomposite under sunlight irradiation is investigated.
Ahmad Hanan Haj, Alahmad Waed
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Iron‐Mediated Release of Aged Dissolved Organic Carbon From Waterlogged Peatland Under Warming
This study conducts a five‐year in situ warming experiment in high‐altitude peatlands to examine dissolved organic carbon (DOC) release. The study shows that warming promotes the release of plant‐derived modern DOC in drained peatlands, but amplifies aquatic export of century‐old DOC from waterlogged peatlands via Fe‐mediated DOC mobilization—a ...
Guohua Dai +18 more
wiley +1 more source
The optimization of b-glucan production by Ophiocordyceps dipterigena BCC 2073 was carried out. For the three-step optimization performed in 250-mL Erlenmeyer flasks, at the first step, the maximum b-glucan production of 16.48±0.60 g/L was obtained using
Wai Prathumpai +3 more
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Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford +3 more
wiley +1 more source
FRACTIONAL FACTORIAL DESIGN AND ORTHOGONAL ARRAYS [PDF]
This study aims to conduct statistical analysis of various types of FRACTIONAL FACTORIAL DESIGN (orthogonal arrays), comparisons between various types of orthogonal arrays with and without replication for the determination of the precision with which ...
Hijazeen, Randa
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Furrow tillage resolves the conventional‐vs.‐no‐tillage trade‐off by simultaneously cutting CO2 efflux to 2.0–3.0 g C m−2 d−1 and unlocking high nutrient availability for the rice rhizosphere. This scalable agronomic solution strengthens soil health, enhances plant physiology, reshapes microbial metabolism, and shifts paddy systems toward a net ...
Arnab Majumdar +10 more
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