Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach

Research article (Computers & Chemical Engineering, 2018) · cited 84× · AI/ML
Press Enter · cited answer in seconds

Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach

Summary

Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach is a scholarly article[1].

Key Facts

  • Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimization-and-control-of-a-thin-film-growth-process-a-hybrid-first-principles-artificial-neural-network-based-multisc
MLA “Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimization-and-control-of-a-thin-film-growth-process-a-hybrid-first-principles-artificial-neural-network-based-multisc.
BibTeX @misc{4ortxyz_optimization-and-control-of-a-thin-film-growth-process-a-hybrid-first-principles-artificial-neural-network-based-multisc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach}}, year = {2026}, url = {https://4ort.xyz/entity/optimization-and-control-of-a-thin-film-growth-process-a-hybrid-first-principles-artificial-neural-network-based-multisc}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach — https://4ort.xyz/entity/optimization-and-control-of-a-thin-film-growth-process-a-hybrid-first-principles-artificial-neural-network-based-multisc (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/optimization-and-control-of-a-thin-film-growth-process-a-hybrid-first-principles-artificial-neural-network-based-multisc · Last refreshed: