Results 151 to 160 of about 480,148 (242)

Model‐based fault diagnosis in closed‐loop safety‐critical chemical reactors: An experimental study

AIChE Journal, EarlyView.
Abstract This experimental study investigates fault detection and estimation in a continuous stirred‐tank reactor (CSTR) system under closed‐loop feedback control, including an analysis of different manipulative inputs for temperature regulation. A novel fault diagnosis approach is proposed, combining residual signal analysis and T2 statistic for real ...
Pu Du, Benjamin Wilhite, Costas Kravaris
wiley   +1 more source

AI-assisted technology optimization in disability support systems using fuzzy rough MABAC decision-making. [PDF]

Sci Rep
Ahmmad J, Al-Dayel OA, Khan MA, Mahmood T.   +3 more
europepmc   +1 more source

Modeling heterogeneity in large‐scale bioreactors using the method of moments with a truncated normal distribution

AIChE Journal, EarlyView.
ABSTRACT Large‐scale bioreactors in industrial bioprocesses pose challenges due to extracellular concentration gradients and intracellular heterogeneity. This study introduces a novel approach integrating the method of moments with truncated normal distributions (MM‐TND) to model intracellular heterogeneity while maintaining computational feasibility ...
Ittisak Promma, Marc G. Aucoin, Nasser Mohieddin Abukhdeir, Hector Budman   +3 more
wiley   +1 more source

Novel approach to modeling ultra‐low temperature frost formation using Computational Fluid Dynamics

AIChE Journal, EarlyView.
Abstract This study presents the development of a computational fluid dynamics model for predicting ultra‐low temperatures (less than −100°C). The frost formation rate was characterized using dimensionless numbers derived from operating conditions. To better capture the underlying physical phenomena of ultra‐low temperature frosting, various physical ...
Joshua Chang Qai Wong, Biao Sun, Milinkumar Shah, Ranjeet P. Utikar, Vishnu Pareek   +4 more
wiley   +1 more source

Computational measures of irregularity molecular descriptors of octahedral and icosahedral networks. [PDF]

Front Chem
Zhang X, Ur Rehman HM, Munir MM.
europepmc   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

Deep learning-based technique for investigating the behavior of MEMS systems with multiwalled carbon nanotubes and electrically actuated microbeams. [PDF]

MethodsX
Amir M, Rahman JU, Ali AH, Raza A, Abduljabbar ZA, Neamah HA.   +5 more
europepmc   +1 more source

Graph Attention Neural Networks for Interpretable and Generalizable Prediction of Janus III–Vi Van Der Waals Heterostructures

Advanced Intelligent Discovery, EarlyView.
A crystal graph neural network based on the attention mechanism is proposed in this work. The model dynamically weights features through the attention mechanism, enabling precise prediction of properties of material from structural features. Here, taking Janus III–VI van der Waals heterostructures as a representative case, the properties have been ...
Yudong Shi, Zhao Zheng, Yinggan Zhang, Zhou Cui, Peng Lin, Cuilian Wen, Baisheng Sa, Zhimei Sun   +7 more
wiley   +1 more source

Computing Excited States of Molecules Using Normalizing Flows. [PDF]

J Chem Theory Comput
Saleh Y, Fernández Corral Á, Vogt E, Iske A, Küpper J, Yachmenev A.   +5 more
europepmc   +1 more source