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Monte Carlo study of the molecular beam epitaxy process for manufacturing magnesium oxide nano-scale films

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  • Ghulam Moeen Uddin
  • Katherine S. Ziemer
  • Abe Zeid
  • Sagar Kamarthi

Abstract

This article presents a Monte Carlo-based factor-wise sensitivity analysis conducted on the performance variables of a Molecular Beam Epitaxy (MBE) process. Using lab-scale MBE equipment, magnesium oxide (MgO 111) films are grown on a hexagonal silicon carbide 6H-SiC (0001) substrate. The thin film surface chemistry in terms of O‒Mg and OH‒Mg bonding states is examined using X-ray photoelectron spectroscopy. A multi-layer perceptron is used to model the process. Monte Carlo experiments are conducted on the process model to study the causal relationship between the critical process control variables and the key performance indicators. The sensitivity of O‒Mg and OH‒Mg bonding states in MgO films to each of the four process control variables (growth time, substrate temperature, magnesium source temperature, and percentage starting oxygen) is examined. Each control variable is varied individually while keeping other control variables constant at their mid values in one case and randomly varying in another case. The sensitivity of the performance variables to the interaction between a select set of control variable pairs is also examined. The interaction between substrate temperature and oxygen on the starting surface is found to significantly affect the dynamics of OH‒Mg bonding state.

Suggested Citation

  • Ghulam Moeen Uddin & Katherine S. Ziemer & Abe Zeid & Sagar Kamarthi, 2015. "Monte Carlo study of the molecular beam epitaxy process for manufacturing magnesium oxide nano-scale films," IISE Transactions, Taylor & Francis Journals, vol. 47(2), pages 125-140, February.
  • Handle: RePEc:taf:uiiexx:v:47:y:2015:i:2:p:125-140
    DOI: 10.1080/0740817X.2014.905732
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    Cited by:

    1. Waqar Muhammad Ashraf & Ghulam Moeen Uddin & Syed Muhammad Arafat & Sher Afghan & Ahmad Hassan Kamal & Muhammad Asim & Muhammad Haider Khan & Muhammad Waqas Rafique & Uwe Naumann & Sajawal Gul Niazi &, 2020. "Optimization of a 660 MW e Supercritical Power Plant Performance—A Case of Industry 4.0 in the Data-Driven Operational Management Part 1. Thermal Efficiency," Energies, MDPI, vol. 13(21), pages 1-33, October.

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