An embedded neutral layer for advanced surface affinity control in grapho-epitaxy directed self-assembly
Source abstract
Abstract
Advanced surface affinity control for grapho-epitaxy directed self-assembly (DSA) patterning is essential for providing reliable DSA-based solutions for the development of semiconductor patterning. Independent control of surface affinity between the bottom and the sidewalls of a topographical guiding structure was achieved by embedding an ultrathin layer in the guiding template stack. The implementation of an embedded layer with tunable surface properties for DSA grapho-epitaxy was evaluated and optimized on 300 mm wafers by critical dimension SEM characterization. It was demonstrated that a thin protective layer, placed between the hard mask guiding template and the embedded layer, allows the preservation of the surface properties of the embedded layer during guiding template etching. The DSA performances of this novel grapho-epitaxy integration, using a topographical template patterned with 193 nm immersion lithography, were evaluated by monitoring the success rate and the critical dimension uniformity of the shrunk contacts. FIB-STEM analyses were further carried out to analyze the residual polymer thickness on the resulting contacts. This new integration leads to the control of the polymer residual thickness (a few nanometers) and uniformity (inferior to 1 nm) at the bottom of the guiding template which will facilitate the subsequent DSA pattern transfer.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Block Copolymer Self-Assembly · Nanofabrication and Lithography Techniques · Polymer Surface Interaction Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
CEA-LETI MINATEC
Cedex 9
France
ARKEMA FRANCE
BP34-64170 Lacq
Funding
Horizon 2020 Framework Programme
References (39)
Show source-provided references
1. Neisser · Adv. Opt. Technol. · 2015 · 4 · 23510.1515/aot-2015-0036 ↗
2. Bates · Phys. Today · 1999 · 52 · 3210.1063/1.882522 ↗
3. Morita · Proc. SPIE · 2017 · 10144 · 101440R10.1117/12.2257987 ↗
4. Jin · ACS Nano · 2016 · 10 · 343510.1021/acsnano.5b07511 ↗
5. Jin · Adv. Mater. · 2017 · 29 · 170059510.1002/adma.201700595 ↗
6. Jeon · Mol. Syst. Des. Eng. · 2017 · 2 · 56010.1039/C7ME00067G ↗
7. Ouk Kim · Nature · 2003 · 424 · 41110.1038/nature01775 ↗
8. Cheng · ACS Nano · 2010 · 4 · 481510.1021/nn100686v ↗
9. J. Kim , J.Yin , Y.Cao , Y.Her , C.Petermann , H.Wu , J.Shan , T.Tsutsumi and G.Lin , in Toward High-Performance Quality Meeting IC Device Manufacturing Requirements with AZ SMART DSA Process , ed. D. J. Resnick and C. Bencher , 2015 , p. 94230R
10. Williamson · ACS Appl. Mater. Interfaces · 2016 · 8 · 270410.1021/acsami.5b10562 ↗
11. Segalman · Adv. Mater. · 2001 · 13 · 115210.1002/1521-4095(200108)13:15<1152::AID-ADMA1152>3.0.CO;2-5 ↗
12. Bita · Science · 2008 · 321 · 93910.1126/science.1159352 ↗
13. Segal-Peretz · ACS Nano · 2017 · 11 · 130710.1021/acsnano.6b05657 ↗
14. Yi · Adv. Mater. · 2012 · 24 · 310710.1002/adma.201200265 ↗
15. Chevalier · J. MicroNanolithography MEMS MOEMS · 2013 · 12 · 03110210.1117/1.JMM.12.3.031102 ↗
16. Nicolet · J. Photopolym. Sci. Technol. · 2016 · 29 · 67110.2494/photopolymer.29.671 ↗
17. Chevalier · Proc. SPIE · 2015 · 9425 · 94251N10.1117/12.2085821 ↗
18. Nicolet · J. Photopolym. Sci. Technol. · 2016 · 29 · 67110.2494/photopolymer.29.671 ↗
19. Mansky · Phys. Rev. Lett. · 1997 · 79 · 23710.1103/PhysRevLett.79.237 ↗
20. Yi · Nano Lett. · 2015 · 15 · 80510.1021/nl502172m ↗
21. Singh · Proc. SPIE · 2016 · 9777 · 97770P10.1117/12.2219261 ↗
22. Delachat · Proc. SPIE · 2017 · 10144 · 101440O10.1117/12.2258043 ↗
23. Yi · Proc. SPIE · 2015 · 9423 · 94231F
24. Latypov · Proc. SPIE · 2015 · 9423 · 9423G
25. Guo · Proc. SPIE · 2017 · 10148 · 101480E
26. Gharbi · J. Micro/Nanolithogr., MEMS, MOEMS · 2015 · 14 · 02350810.1117/1.JMM.14.2.023508 ↗
27. Gharbi · J. MicroNanolithography MEMS MOEMS · 2016 · 15 · 04350310.1117/1.JMM.15.4.043503 ↗
28. Mansky · Science · 1997 · 275 · 145810.1126/science.275.5305.1458 ↗
29. Doise · Proc. SPIE · 2017 · 10146 · 101460R10.1117/12.2259791 ↗
30. Servin · Jpn. J. Appl. Phys. · 2014 · 53 · 06JC0510.7567/JJAP.53.06JC05 ↗
31. Ohta · Macromolecules · 1986 · 19 · 262110.1021/ma00164a028 ↗
32. Choksi · J. Stat. Phys. · 2003 · 113 · 15110.1023/A:1025722804873 ↗
33. Choksi · SIAM J. Appl. Math. · 2009 · 69 · 171210.1137/080728809 ↗
34. Russell · Macromolecules · 1990 · 23 · 89010.1021/ma00205a033 ↗
35. Sarma · Proc. SPIE · 2014 · 9050 · 90500O10.1117/12.2046785 ↗
36. R. Gronheid and P.Nealey , Directed Self-Assembly of Block Co-Polymers for Nano-Manufacturing , Woodhead Publishing , 2015
37. Tiron · J. Vac. Sci. Technol., B: Nanotechnol. Microelectron.: Mater., Process., Meas., Phenom. · 2011 · 29 · 06F206
38. Posseme · Appl. Phys. Lett. · 2014 · 105 · 05160510.1063/1.4892543 ↗
39. Posseme · J. Vac. Sci. Technol., A · 2016 · 34 · 06130110.1116/1.4963072 ↗