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For: Zhang Y, Ding Y, Christofides PD. Multiscale computational fluid dynamics modeling and reactor design of plasma-enhanced atomic layer deposition. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.107066] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Number Cited by Other Article(s)
1
Park H, Choi H, Shin S, Park BK, Kang K, Ryu JY, Eom T, Chung TM. Evaluation of tin nitride (Sn3N4) via atomic layer deposition using novel volatile Sn precursors. Dalton Trans 2023;52:15033-15042. [PMID: 37812132 DOI: 10.1039/d3dt02138f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
2
Machine learning-based run-to-run control of a spatial thermal atomic layer etching reactor. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.108044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
3
Yun S, Tom M, Orkoulas G, Christofides PD. Multiscale computational fluid dynamics modeling of spatial thermal atomic layer etching. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107861] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
4
Sitapure N, Kwon JSI. Neural network-based model predictive control for thin-film chemical deposition of quantum dots using data from a multiscale simulation. Chem Eng Res Des 2022. [DOI: 10.1016/j.cherd.2022.05.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
5
Multiscale computational fluid dynamics modeling of thermal atomic layer etching: Application to chamber configuration design. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107757] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
6
Molecular Dynamics of Atomic Layer Deposition: Sticking Coefficient Investigation. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12042188] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
7
Yun S, Ding Y, Zhang Y, Christofides PD. Integration of feedback control and run-to-run control for plasma enhanced atomic layer deposition of hafnium oxide thin films. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2021.107267] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
8
Machine learning-based modeling and operation of plasma-enhanced atomic layer deposition of hafnium oxide thin films. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2020.107148] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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