Retraction Note: Nano-Bio Soil Improvement (NBSI) with Micro-, Nano-, and Pico- Typha latifolia: a green material approach. [PDF]
Zeynali Y, Niroumand H, Moayed RZ.
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How small changes to methylated piperidinium cations impact the synthesis of zeolite SSZ‐39
Abstract Here we report a synthesis study of SSZ‐39 with four different organic structure directing agents (OSDA). The goal was to determine how subtle changes to the OSDA architecture impact crystallization kinetics, material composition, and other properties.
Onyinyechukwu Ukagha, Daniel F. Shantz
wiley +1 more source
Retraction Note: FTIR based assessment of microplastic contamination in soil water and insect ecosystems reveals environmental and ecological risks. [PDF]
Rathikannu S +8 more
europepmc +1 more source
Model predictive control with inline parameter adaptation for direct crystal growth rate regulation
Abstract In batch cooling crystallization, many interactive factors, including supersaturation, reactor dimensions, and operating conditions, govern crystal growth and significantly influence product properties. Variables such as temperature or refractive index are used as surrogate control variables but have limitations in capturing growth rate ...
Huitian Yu, Jiewen Zhao, Heiko Briesen
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Retraction: Adsorption of Mn(ii) ions from wastewater using an AgNPs/GO/chitosan nanocomposite material. [PDF]
El Shahawy A +3 more
europepmc +1 more source
ABSTRACT Conceptual process design combines discrete configuration choices with continuous operating decisions, often yielding difficult mixed‐integer nonlinear or simulation‐based optimization problems. This work presents an exploratory computational assessment of Ising‐based solvers, simulated annealing, quantum annealing, and entropy computing, as ...
Yirang Park, David E. Bernal Neira
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A Copula-based framework for seismic resilience assessment of civil engineering structural systems. [PDF]
Xie C +7 more
europepmc +1 more source
Machine learning driven many‐objective moving horizon scheduling optimization
Abstract Industrial electrification can decarbonize chemical manufacturing, but it exposes operations to volatile electricity prices and carbon intensities. This work develops a machine learning‐enhanced many‐objective moving horizon scheduling framework that predicts objective correlation groupings from 48‐hour price and emission‐intensity profiles ...
Hongxuan Wang, Andrew Allman
wiley +1 more source
Correction: Khan et al. Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models. <i>Polymers</i> 2022, <i>14</i>, 2270. [PDF]
Khan K +7 more
europepmc +1 more source

