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DL-MPC: A toolbox for deep learning-based nonlinear model predictive control

The TensorDL-MPC toolbox is a Python-based software developed using the TensorFlow framework. It leverages deep learning techniques to enhance the performance of traditional Model Predictive Control ...
C&EN

Leveraging Machine Learning-Guided Molecular Simulations Coupled with Experimental Data to Decipher Membrane Binding Mechanisms of Aminosterols

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Understanding the molecular mechanisms of the interactions between specific compounds ...
Frontiers

Sedimentary evolutionary processes, architecture, and sedimentary model of a lobate shallow-water delta: insights from flume simulation experiments

Fisk et al. (1954,1961) first proposed the concept of shallow-water deltas in the study of the Mississippi River Delta. Subsequent scholars, through comprehensive research in delta formation dynamics, ...
C&EN

Experimentally Determined Hansen Solubility Parameters of Biobased and Biodegradable Polyesters

School of Chemical, Materials, and Biomedical Engineering, College of Engineering, University of Georgia, 597 D.W. Brooks Dr., Athens, Georgia 30602, United States ...
Frontiers

Machine learning and reduced order modelling for the simulation of braided stent deployment

Endoluminal reconstruction using flow diverters represents a novel paradigm for the minimally invasive treatment of intracranial aneurysms. The configuration assumed by these very dense braided stents ...