Bond Formation at Polycarbonate | X Interfaces (X = Al2O3, TiO2, TiAlO2) Studied by Theory and Experiments
Source abstract
Abstract
Abstract Interfacial bond formation during sputter deposition of metal‐oxide thin films onto polycarbonate (PC) is investigated by ab initio molecular dynamics simulations and X‐ray photoelectron spectroscopy (XPS) analysis of PC|X interfaces (X = Al2O3, TiO2, TiAlO2). Generally, the predicted bond formation is consistent with the experimental data. For all three interfaces, the majority of bonds identified by XPS are (C─O)─metal bonds, whereas C─metal bonds are the minority. Compared to the PC|Al2O3 interface, the PC|TiO2 and PC|TiAlO2 interfaces exhibit a reduction in the measured interfacial bond density by 75 and ∼65%, respectively. Multiplying the predicted bond strength with the corresponding experimentally determined interfacial bond density shows that Al2O3 exhibits the strongest interface with PC, while TiO2 and TiAlO2 exhibit ∼70 and ∼60% weaker interfaces, respectively. This can be understood by considering the complex interplay between the metal‐oxide composition, the bond strength, and the population of bonds formed across the interface.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Electronic and Structural Properties of Oxides · Thermal and Kinetic Analysis · Ionic liquids properties and applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Materials Chemistry RWTH Aachen University Kopernikusstr 10 52074 Aachen Germany
Department of Physical Electronics Faculty of Science Masaryk University Kotlářská 2 61137 Brno Czech Republic
Funding
Ministerstvo Školství, Mládeže a Tělovýchovy · Deutsche Forschungsgemeinschaft
References (56)
Show source-provided references
1. 10.1016/B978-0-323-35824-8.00017-710.1016/B978-0-323-35824-8.00017-7 ↗
2. 10.1177/875608791769108810.1177/8756087917691088 ↗
3. 10.1016/j.surfcoat.2007.08.06610.1016/j.surfcoat.2007.08.066 ↗
4. 10.1016/j.vacuum.2016.07.01310.1016/j.vacuum.2016.07.013 ↗
5. 10.1016/j.wear.2015.09.00110.1016/j.wear.2015.09.001 ↗
6. 10.1016/j.actamat.2016.11.03710.1016/j.actamat.2016.11.037 ↗
7. Covestro AG Makrolon®ISO Datasheet Makrolon® 2408 https://solutions.covestro.com/en/products/makrolon/makrolon‐2408_00013320‐05123200?SelectedCountry=DE (accessed: April2024).
8. 10.1007/978-981-16-8698-6_2210.1007/978-981-16-8698-6_22 ↗
9. 10.1155/2018/759897810.1155/2018/7598978 ↗
10. 10.1002/pssr.20200027310.1002/pssr.202000273 ↗
11. 10.1021/acsenergylett.1c0144610.1021/acsenergylett.1c01446 ↗
12. 10.1126/science.aav125410.1126/science.aav1254 ↗
13. Ebnesajjad S. · 2015 · 1
14. Beamson G. · 1992
15. 10.1002/ppap.20090003810.1002/ppap.200900038 ↗
16. 10.1116/1.57544810.1116/1.575448 ↗
17. 10.1016/S0169-4332(99)00354-210.1016/S0169-4332(99)00354-2 ↗
18. 10.1002/ppap.20073090910.1002/ppap.200730909 ↗
19. M.Hans PhD thesis RWTH Aachen University Aachen Germany2017.
20. 10.3390/ma308410910.3390/ma3084109 ↗
21. 10.1088/1361-6595/abb7bd10.1088/1361-6595/abb7bd ↗
22. 10.1063/1.497835010.1063/1.4978350 ↗
23. Creative Commons CC BY 4.0 DEED Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/(accessed: April 2024).
24. 10.1002/admi.20230021510.1002/admi.202300215 ↗
25. 10.1107/S002188981103897010.1107/S0021889811038970 ↗
26. 10.1116/1.124790010.1116/1.1247900 ↗
27. 10.1016/j.apsusc.2022.15336310.1016/j.apsusc.2022.153363 ↗
28. 10.1116/6.000292110.1116/6.0002921 ↗
29. 10.1002/adem.20220095110.1002/adem.202200951 ↗
30. 10.1016/j.tsf.2013.01.01610.1016/j.tsf.2013.01.016 ↗
31. Beamson G. · 1992
32. 10.1063/5.008635910.1063/5.0086359 ↗
33. 10.1002/sia.74015090310.1002/sia.740150903 ↗
34. 10.1016/0022-1902(61)80142-510.1016/0022-1902(61)80142-5 ↗
35. 10.1016/j.surfcoat.2017.07.07910.1016/j.surfcoat.2017.07.079 ↗
36. 10.1116/1.58079210.1116/1.580792 ↗
37. 10.1103/PhysRevB.5.470910.1103/PhysRevB.5.4709 ↗
38. XPS sensitivity factors for AXIS Supra Kratos Analytical Ltd. (accessed: December 2023).
39. 10.1103/PhysRevB.67.15510810.1103/PhysRevB.67.155108 ↗
40. 10.1103/PhysRevB.69.19511310.1103/PhysRevB.69.195113 ↗
41. 10.1103/PhysRevB.72.04512110.1103/PhysRevB.72.045121 ↗
42. 10.1126/science.aad300010.1126/science.aad3000 ↗
43. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
44. 10.1063/1.338234410.1063/1.3382344 ↗
45. 10.1103/PhysRevLett.118.02640110.1103/PhysRevLett.118.026401 ↗
46. 10.1557/mrs.2018.20810.1557/mrs.2018.208 ↗
47. P.Ondračka D.Bogdanovski NOMAD dataset: Bond formation at polycarbonate | X interfaces (X = Al2O3 TiO2 TiAlO2) studied by theory and experiments ‐ ab initio calculations https://doi.org/10.17172/NOMAD/2023.03.31‐1(accessed: March2023).
48. 10.1021/j100135a01410.1021/j100135a014 ↗
49. 10.1021/jp202489s10.1021/jp202489s ↗
50. 10.1002/jcc.2342410.1002/jcc.23424 ↗
51. 10.1002/jcc.2635310.1002/jcc.26353 ↗
52. 10.1103/PhysRevB.47.55810.1103/PhysRevB.47.558 ↗
53. 10.1103/PhysRevB.49.1425110.1103/PhysRevB.49.14251 ↗
54. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
55. 10.1002/(SICI)1521-3773(20000502)39:9<1560::AID-ANIE1560>3.0.CO;2-T10.1002/(SICI)1521-3773(20000502)39:9<1560::AID-ANIE1560>3.0.CO;2-T ↗
56. 10.3390/cryst805022510.3390/cryst8050225 ↗