Investigation of the chemical vapor deposition of Cu from copper amidinate through data driven efficient CFD modelling
Author:
Funder
University of Luxembourg
Publisher
Elsevier BV
Subject
Computer Science Applications,General Chemical Engineering
Reference48 articles.
1. Deep learning and knowledge-based methods for computer-aided molecular design—toward a unified approach: State-of-the-art and future directions;Alshehri;Comput. Chem. Eng.,2020
2. Experimental and computational investigation of chemical vapor deposition of Cu from Cu amidinate;Aviziotis;Surface and Coatings Technology,2013
3. Amidinates, guanidinates and iminopyrrolidinates: Understanding precursor t0hermolysis to design a better ligand;Barry;Coord. Chem. Rev.,2013
4. The proper orthogonal decomposition in the analysis of turbulent flows;Berkooz;Annu. Rev. Fluid Mech.,1993
5. Training set design for machine learning techniques applied to the approximation of computationally intensive first-principles kinetic models;Bracconi;Chem. Eng. J.,2020
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