Results 131 to 140 of about 676,279 (245)

How small changes to methylated piperidinium cations impact the synthesis of zeolite SSZ‐39

open access: yesAIChE Journal, EarlyView.
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]

open access: yesSci Rep
Rathikannu S   +8 more
europepmc   +1 more source

Model predictive control with inline parameter adaptation for direct crystal growth rate regulation

open access: yesAIChE Journal, EarlyView.
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
wiley   +1 more source

A computational study of Ising‐based solvers for discrete landscape exploration in process optimization

open access: yesAIChE Journal, EarlyView.
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
wiley   +1 more source

Machine learning driven many‐objective moving horizon scheduling optimization

open access: yesAIChE Journal, EarlyView.
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

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