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3D atomic-scale metrology of strain relaxation and roughness in Gate-All-Around transistors via electron ptychography
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  • Published: 23 February 2026

3D atomic-scale metrology of strain relaxation and roughness in Gate-All-Around transistors via electron ptychography

  • Shake Karapetyan  ORCID: orcid.org/0000-0001-6893-54251,
  • Steven E. Zeltmann  ORCID: orcid.org/0000-0003-1790-31371,2,
  • Glen Wilk3,
  • Ta-Kun Chen4,
  • Vincent D.-H. Hou4 &
  • …
  • David A. Muller  ORCID: orcid.org/0000-0003-4129-04731,5 

Nature Communications , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Characterization and analytical techniques
  • Electronic devices
  • Nanoscale devices

Abstract

Next-generation semiconductor devices are adopting three-dimensional (3D) architectures with feature sizes in the few-nanometer regime, creating a need for atomic-scale metrology to identify and resolve performance-limiting fabrication challenges. X-ray methods provide 3D information but lack atomic resolution, while conventional electron microscopy offers limited depth sensitivity. Here we show how multislice electron ptychography, a computational microscopy technique with sub-Ångström lateral and nanometer-scale depth resolution, enables 3D imaging of buried device structures. We image prototype gate-all-around transistors and directly quantify roughness, strain, and defects at the interface of the 3D gate oxide wrapped around the channel. We find that silicon in the 5-nm-thick channel relaxes away from the interfaces, leaving only ~60% of atoms in a bulk-like structure. From a single dataset, ptychography provides quantitative metrology of atomic-scale interface roughness in 3D, previously accessible only through indirect inference, along with strain and other structural parameters needed for device modeling and process development.

Data availability

The experimental 4D-STEM datasets, through-focal ADF/iDPC image stacks, and reconstructed multislice electron ptychography (MEP) phase volumes used to generate the figures in this study are publicly available on Zenodo at https://doi.org/10.5281/zenodo.1588244377. Simulation inputs and results are not included in this repository as they are based on third-party structural models62 that are not owned by the authors.

Code availability

The MATLAB reconstruction scripts (fold_slice with tilt-propagator extension), parameter files documenting all acquisition and reconstruction settings, and Jupyter notebooks used for atom tracking, strain mapping, and surface morphology analysis are publicly available on Zenodo at https://doi.org/10.5281/zenodo.1588244377.

References

  1. Orji, N. G. et al. Metrology for the next generation of semiconductor devices. Nat. Electron. 1, 532–547 (2018).

    Google Scholar 

  2. Feng, P. et al. Comparative analysis of semiconductor device architectures for 5-nm node and beyond. IEEE Electron Device Lett. 38, 1657–1660 (2017).

    Google Scholar 

  3. Mertens, H. et al. Gate-all-around MOSFETs based on vertically stacked horizontal Si nanowires in a replacement metal gate process on bulk Si substrates. in 2016 IEEE Symposium on VLSI Technology 1–2 (IEEE, Honolulu, HI, USA, 2016). https://doi.org/10.1109/VLSIT.2016.7573416.

  4. Agrawal, A. et al. Silicon RibbonFET CMOS at 6nm Gate Length. in 2024 IEEE International Electron Devices Meeting (IEDM) 1–4 (2024). https://doi.org/10.1109/IEDM50854.2024.10873367.

  5. Hu, W. & Li, F. Scaling beyond 7nm node: an overview of gate-all-around FETs. in 2021 9th International Symposium on Next Generation Electronics (ISNE) 1–6 (IEEE, Changsha, China, 2021). https://doi.org/10.1109/ISNE48910.2021.9493305.

  6. Muller, D. A. et al. The electronic structure at the atomic scale of ultrathin gate oxides. Nature 399, 758–761 (1999).

    Google Scholar 

  7. Aidukas, T. et al. High-performance 4-nm-resolution X-ray tomography using burst ptychography. Nature 632, 81–88 (2024).

    Google Scholar 

  8. Gault, B. et al. Atom probe tomography. Nat. Rev. Methods Primer 1, 51 (2021).

  9. Scott, M. C. et al. Electron tomography at 2.4-ångström resolution. Nature 483, 444–447 (2012).

    Google Scholar 

  10. Bosch, E. G. & Lazić, I. Analysis of depth-sectioning STEM for thick samples and 3D imaging. Ultramicroscopy 207, 112831 (2019).

    Google Scholar 

  11. Bürger, J., Riedl, T. & Lindner, J. K. N. Influence of lens aberrations, specimen thickness and tilt on differential phase contrast STEM images. Ultramicroscopy 219, 113118 (2020).

    Google Scholar 

  12. Xin, H. L., Intaraprasonk, V. & Muller, D. A. Depth sectioning of individual dopant atoms with aberration-corrected scanning transmission electron microscopy. Appl. Phys. Lett. 92, 884–885 (2008).

  13. Chidambaram, P. R., Bowen, C., Chakravarthi, S., Machala, C. & Wise, R. Fundamentals of silicon material properties for successful exploitation of strain engineering in modern CMOS manufacturing. IEEE Trans. Electron Devices 53, 944–964 (2006).

    Google Scholar 

  14. Jena, D. Quantum Physics of Semiconductor Materials and Devices (Oxford University Press, 2022).

  15. Ando, T., Fowler, A. B. & Stern, F. Electronic properties of two-dimensional systems. Rev. Mod. Phys. 54, 437–672 (1982).

    Google Scholar 

  16. Cheng, Y. C. & Sullivan, E. A. On the role of scattering by surface roughness in silicon inversion layers. Surf. Sci. 34, 717–731 (1973).

    Google Scholar 

  17. Goodnick, S. M. et al. Surface roughness scattering at the Si–SiO2 interface. J. Vac. Sci. Technol. B Microelectron. Process. Phenom. 1, 803–808 (1983).

    Google Scholar 

  18. Ohmi, T., Kotani, K., Teramoto, A. & Miyashita, M. Dependence of electron channel mobility on Si-SiO/sub 2/ interface microroughness. IEEE Electron Device Lett. 12, 652–654 (1991).

    Google Scholar 

  19. Takagi, S., Toriumi, A., Iwase, M. & Tango, H. On the universality of inversion layer mobility in Si MOSFET’s: Part I-effects of substrate impurity concentration. IEEE Trans. Electron Devices 41, 2357–2362 (1994).

    Google Scholar 

  20. Yuanning, C., Myricks, R., Decker, M., Liu, J. & Higashi, G. S. The origination and optimization of Si/SiO2 interface roughness and its effect on CMOS performance. IEEE Electron Device Lett. 24, 295–297 (2003).

    Google Scholar 

  21. Vyas, P. B., Van De Put, M. L. & Fischetti, M. V. Master-equation study of quantum transport in realistic semiconductor devices including electron-phonon and surface-roughness scattering. Phys. Rev. Appl. 13, 014067 (2020).

    Google Scholar 

  22. Chen, X. & Gibson, J. M. Dramatic effect of postoxidation annealing on (100) Si/SiO2 roughness. Appl. Phys. Lett. 70, 1462–1464 (1997).

    Google Scholar 

  23. Chen, X. & Gibson, J. M. Measurement of roughness at buried Si/ SiO 2 interfaces by transmission electron diffraction. Phys. Rev. B 54, 2846–2855 (1996).

    Google Scholar 

  24. Goodnick, S. M. et al. Surface roughness at the Si(100)- SiO 2 interface. Phys. Rev. B 32, 8171–8186 (1985).

    Google Scholar 

  25. CHIPS Research and Development Office. Metrology Gaps in the Semiconductor Ecosystem: First Steps Toward Establishing the CHIPS R&D Metrology Program. 32 https://www.nist.gov/system/files/documents/2023/06/05/CHIPS_Metrology-Gaps-in-the-Semi-Ecosystem_0.pdf (2023).

  26. Chen, Z. et al. Mixed-state electron ptychography enables sub-angstrom resolution imaging with picometer precision at low dose. Nat. Commun. 11, 2994 (2020).

  27. Chen, Z. et al. Electron ptychography achieves atomic-resolution limits set by lattice vibrations. Science 372, 826–831 (2021).

    Google Scholar 

  28. Dong, Z. et al. Visualization of oxygen vacancies and self-doped ligand holes in La3Ni2O7−δ. Nature https://doi.org/10.1038/s41586-024-07482-1 (2024).

  29. Gao, S. et al. Electron ptychographic microscopy for three-dimensional imaging. Nat. Commun. 8, 163 (2017).

  30. Xin, H. L. & Muller, D. A. Aberration-corrected ADF-STEM depth sectioning and prospects for reliable 3D imaging in STEM. J. Electron Microsc. (Tokyo) 58, 157–165 (2009).

    Google Scholar 

  31. Ishikawa, R., Tanaka, R., Kawahara, K., Shibata, N. & Ikuhara, Y. Atomic-resolution topographic imaging of crystal surfaces. ACS Nano. 15, 9186–9193 (2021).

    Google Scholar 

  32. Ishikawa, R. et al. Single atom visibility in STEM optical depth sectioning. Appl. Phys. Lett. 109, 163102 (2016).

    Google Scholar 

  33. van Benthem, K. et al. Three-dimensional ADF imaging of individual atoms by through-focal series scanning transmission electron microscopy. Ultramicroscopy 106, 1062–1068 (2006).

    Google Scholar 

  34. Saito, G., Yamaki, F., Kunisada, Y., Sakaguchi, N. & Akiyama, T. Three-dimensional analysis of Eu dopant atoms in Ca-α-SiAlON via through-focus HAADF-STEM imaging. Ultramicroscopy 175, 97–104 (2017).

    Google Scholar 

  35. Ishikawa, R., Shibata, N., Taniguchi, T. & Ikuhara, Y. Three-dimensional imaging of a single dopant in a crystal. Phys. Rev. Appl. 13, 034064 (2020).

    Google Scholar 

  36. Lazić, I., Bosch, E. G. T. & Lazar, S. Phase contrast STEM for thin samples: Integrated differential phase contrast. Ultramicroscopy 160, 265–280 (2016).

    Google Scholar 

  37. Negrello, R. et al. A novel tool for advanced analysis of Geant4 simulations of charged particles interactions in oriented crystals. Nucl. Instrum. Methods Phys. Res. Sect. Accel. Spectrometers Detect. Assoc. Equip. 1074, 170277 (2025).

    Google Scholar 

  38. Maiden, A. M. & Rodenburg, J. M. An improved ptychographical phase retrieval algorithm for diffractive imaging. Ultramicroscopy 109, 1256–1262 (2009).

    Google Scholar 

  39. Rodenburg, J. & Maiden, A. Ptychography. in Springer Handbooks 819–904 (Springer, 2019). https://doi.org/10.1007/978-3-030-00069-1_17.

  40. Maiden, A. M., Humphry, M. J. & Rodenburg, J. M. Ptychographic transmission microscopy in three dimensions using a multi-slice approach. JOSA A. 29, 1606–1614 (2012).

    Google Scholar 

  41. Tsai, E. H. R., Usov, I., Diaz, A., Menzel, A. & Guizar-Sicairos, M. X-ray ptychography with extended depth of field. Opt. Express 24, 29089 (2016).

    Google Scholar 

  42. Chen, Z. et al. Imaging interstitial atoms with multislice electron ptychography. arxiv 2407.18063 (2024).

  43. Intaraprasonk, V., Xin, H. L. & Muller, D. A. Analytic derivation of optimal imaging conditions for incoherent imaging in aberration-corrected electron microscopes. Ultramicroscopy 108, 1454–1466 (2008).

    Google Scholar 

  44. Ishikawa, R., Lupini, A. R., Hinuma, Y. & Pennycook, S. J. Large-angle illumination STEM: toward three-dimensional atom-by-atom imaging. Ultramicroscopy 151, 122–129 (2015).

    Google Scholar 

  45. Tate, M. W. et al. High dynamic range pixel array detector for scanning transmission electron microscopy. Microsc. Microanal. 22, 237–249 (2016).

    Google Scholar 

  46. Philipp, H. T. et al. Very-high dynamic range, 10,000 frames/second pixel array detector for electron microscopy. Microsc. Microanal. 28, 425–440 (2022).

    Google Scholar 

  47. Terzoudis-Lumsden, E. W. C. et al. Resolution of virtual depth sectioning from four-dimensional scanning transmission electron microscopy. Microsc. Microanal. 29, 1409–1421 (2023).

    Google Scholar 

  48. Varnavides, G. et al. Iterative Phase Retrieval Algorithms for Scanning Transmission Electron Microscopy. Preprint at https://doi.org/10.48550/arXiv.2309.05250 (2024).

  49. Ma, D. & Muller, D. Information limit and dose efficiency of electron ptychography. Microsc. Microanal. 30, ozae044.910 (2024).

    Google Scholar 

  50. Yoon, D. et al. Imaging Li vacancies in a Li-ion battery cathode material by depth sectioning multi-slice electron ptychographic reconstructions. Microsc. Microanal. 29, 1263–1264 (2023).

    Google Scholar 

  51. Sha, H. et al. Sub-nanometer-scale mapping of crystal orientation and depth-dependent structure of dislocation cores in SrTiO3. Nat. Commun. 14, 162 (2023).

    Google Scholar 

  52. Gilgenbach, C., Chen, X. & LeBeau, J. M. A methodology for robust multislice ptychography. Microsc. Microanal. 30, 703–711 (2024).

    Google Scholar 

  53. Ribet, S. M. et al. Uncovering the three-dimensional structure of upconverting core–shell nanoparticles with multislice electron ptychography. Appl. Phys. Lett. 124, 240601 (2024).

    Google Scholar 

  54. Kp, H. et al. Electron ptychography reveals a ferroelectricity dominated by anion displacements. Nat. Mater. https://doi.org/10.1038/s41563-025-02205-x (2025).

  55. Zhu, M. et al. Insights into chemical and structural order at planar defects in Pb2 MgWO6 using multislice electron ptychography. ACS Nano. 19, 5568–5576 (2025).

    Google Scholar 

  56. Kharel, P. et al. 3D imaging reveals widespread stacking disorder in single crystal 2D covalent organic frameworks. J. Am. Chem. Soc. 147, 11821–11828 (2025).

    Google Scholar 

  57. Karapetyan, S., Chen, T.-K., Hou, V. D. H. & Muller, D. A. 3D sectioning of rough interfaces using mixed-state multislice ptychography, annular dark field, and integrated differential phase contrast imaging. Microsc. Microanal. 29, 288–290 (2023).

    Google Scholar 

  58. Karapetyan, S., Zeltmann, S., Chen, T.-K., Hou, V. D. H. & Muller, D. A. Visualizing defects and amorphous materials in 3D with mixed-state multislice electron ptychography. Microsc. Microanal. 30, ozae044.909 (2024).

    Google Scholar 

  59. Karapetyan, S. et al. 3D imaging of defects, buried interfaces, and strain with multislice electron ptychography. Microsc. Microanal. 31, ozaf048.045 (2025).

    Google Scholar 

  60. Lee, C.-H., Zeltmann, S. E., Yoon, D., Ma, D. & Muller, D. A. PtyRAD: A High-performance and Flexible Ptychographic Reconstruction Framework with Automatic Differentiation. Microsc Microanal. 31, ozaf070 (2025).

  61. Madsen, J. & Susi, T. abTEM: ab initio transmission electron microscopy image simulation. Microsc. Microanal. 26, 448–450 (2020).

    Google Scholar 

  62. Aveyard, R. & Rieger, B. Tilt series STEM simulation of a 25×25×25nm semiconductor with characteristic X-ray emission. Ultramicroscopy 171, 96–103 (2016).

    Google Scholar 

  63. Nord, M., Vullum, P. E., MacLaren, I., Tybell, T. & Holmestad, R. Atomap: a new software tool for the automated analysis of atomic resolution images using two-dimensional Gaussian fitting. Adv. Struct. Chem. Imaging 3, 9 (2017).

    Google Scholar 

  64. Peña, L. F. et al. Modeling Si/SiGe quantum dot variability induced by interface disorder reconstructed from multiperspective microscopy. Npj Quantum Inf. 10, 33 (2024).

    Google Scholar 

  65. Moison, J. M., Guille, C., Houzay, F., Barthe, F. & Van Rompay, M. Surface segregation of third-column atoms in group III-V arsenide compounds: Ternary alloys and heterostructures. Phys. Rev. B 40, 6149–6162 (1989).

    Google Scholar 

  66. Jesson, D. E., Pennycook, S. J. & Baribeau, J.-M. Direct imaging of interfacial ordering in ultrathin (Si m Ge n) p superlattices. Phys. Rev. Lett. 66, 750–753 (1991).

    Google Scholar 

  67. Uberuaga, B. P., Leskovar, M., Smith, A. P., Jónsson, H. & Olmstead, M. Diffusion of Ge below the Si(100) surface: theory and experiment. Phys. Rev. Lett. 84, 2441–2444 (2000).

    Google Scholar 

  68. Singisetti, U., Hoi Wong, M. & Mishra, U. K. Interface roughness scattering in ultra-thin N-polar GaN quantum well channels. Appl. Phys. Lett. 101, 012101 (2012).

    Google Scholar 

  69. Demuynck, S. et al. Monolithic Complementary Field Effect Transistors (CFET) Demonstrated using Middle Dielectric Isolation and Stacked Contacts. in 2024 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits) 1–2. https://doi.org/10.1109/VLSITechnologyandCir46783.2024.10631349 (2024).

  70. Loubet, N. et al. Stacked nanosheet gate-all-around transistor to enable scaling beyond FinFET. in 2017 Symposium on VLSI Technology T230–T231 (IEEE, Kyoto, Japan, 2017). https://doi.org/10.23919/VLSIT.2017.7998183.

  71. Mertens, H. et al. Invited) gate-all-around transistors based on vertically stacked Si nanowires. ECS Trans. 77, 19–30 (2017).

    Google Scholar 

  72. Zhang, X. et al. Super-resolution ptychography with small segmented detectors. Microsc. Microanal. 31, ozae134 (2025).

    Google Scholar 

  73. Zhang, C. et al. Bayesian optimization for multi-dimensional alignment: tuning aberration correctors and ptychographic reconstructions. Microsc. Microanal. 28, 3146–3148 (2022).

    Google Scholar 

  74. Schwartz, J. et al. Real-time 3D analysis during electron tomography using tomviz. Nat. Commun. 13, 4458 (2022).

    Google Scholar 

  75. Zhou, Q.-Y., Park, J. & Koltun, V. Open3D: A Modern Library for 3D Data Processing. Preprint at https://doi.org/10.48550/arXiv.1801.09847 (2018).

  76. ParaView: An End-User Tool for Large-Data Visualization. in Visualization Handbook 717–731 (Elsevier, 2005). https://doi.org/10.1016/b978-012387582-2/50038-1.

  77. Shake, K., Steven, E. Z., & David, A. M. Datasets for ‘3D Atomic-Scale Metrology of Strain Relaxation and Roughness in Gate-All-Around Transistors via Electron Ptychography’. Zenodo https://doi.org/10.5281/zenodo.15882443 (2025).

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Acknowledgements

S.K., D.A.M. acknowledge funding from TSMC through a Joint Development Project (JDP184087). S.E.Z. acknowledges funding from the Platform for the Accelerated Realization, Analysis, and Discovery of Interface Materials (PARADIM), which is supported by the National Science Foundation under Cooperative Agreement No. DMR−2039380. This work made use of the electron microscopy facility of PARADIM and Cornell Center for Materials Research shared instrumentation facility with Helios FIB supported by NSF (DMR-1539918). The authors also thank Malcolm Thomas, Mariena Silvestry Ramos, Philip Carubia, and John Grazul for technical support and maintenance of the electron microscopy facilities. The authors gratefully acknowledge Michael Givens (ASM), Naoto Horiguchi (imec), Hans Mertens (imec), and Hiroaki Arimura (imec) for providing the Gate-All-Around (GAA) sample used in this study. We thank Jiangtao Zhu and Eurofins Nanolab Technologies for preparing the GAA TEM lamella used in this study. We thank Frieder Baumann for the c-Si/a-SiO2 structural model, Richard Aveyard and Bernd Rieger for the pMOS structural model. S.K. gratefully acknowledges Harikrishnan K.P., Ariana Ray, and Salva Rezaie for training and tutorials on MEP, Dasol Yoon for insightful discussions on multislice simulations, Xiyue Zheng for sharing the automated DPC acquisition code, and Yi Jiang for helpful discussions about MEP. S.K. thanks Lopa Bhatt for developing and sharing a tilt propagator extension to the fold-slice code used in this study.

Author information

Authors and Affiliations

  1. School of Applied and Engineering Physics, Cornell University, Ithaca, NY, USA

    Shake Karapetyan, Steven E. Zeltmann & David A. Muller

  2. Platform for the Accelerated Realization, Analysis, and Discovery of Interface Materials (PARADIM), Cornell University, Ithaca, NY, USA

    Steven E. Zeltmann

  3. Advanced Semiconductor Materials (ASM) America, Phoenix, AZ, USA

    Glen Wilk

  4. Corporate Analytical Laboratories, Taiwan Semiconductor Manufacturing Company, Hsinchu, Taiwan

    Ta-Kun Chen & Vincent D.-H. Hou

  5. Kavli Institute at Cornell for Nanoscale Science, Cornell University, Ithaca, NY, USA

    David A. Muller

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Contributions

The research plan was formulated by S.K., T.K.C., V.D.H.H. and D.A.M. G.W. sourced the studied samples. S.K. performed STEM and MEP characterization and analysis (experimental and simulation) under the supervision of S.E.Z. and D.A.M. S.K. wrote the original draft with feedback from all authors. All authors discussed the results and commented on the paper.

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Correspondence to David A. Muller.

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Cornell University (D.A.M.) has licensed the EMPAD hardware to Thermo Fisher Scientific. The other authors declare no competing interests.

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Karapetyan, S., Zeltmann, S.E., Wilk, G. et al. 3D atomic-scale metrology of strain relaxation and roughness in Gate-All-Around transistors via electron ptychography. Nat Commun (2026). https://doi.org/10.1038/s41467-026-69733-1

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  • Received: 26 August 2025

  • Accepted: 08 February 2026

  • Published: 23 February 2026

  • DOI: https://doi.org/10.1038/s41467-026-69733-1

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