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
Orji, N. G. et al. Metrology for the next generation of semiconductor devices. Nat. Electron. 1, 532–547 (2018).
Feng, P. et al. Comparative analysis of semiconductor device architectures for 5-nm node and beyond. IEEE Electron Device Lett. 38, 1657–1660 (2017).
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.
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.
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.
Muller, D. A. et al. The electronic structure at the atomic scale of ultrathin gate oxides. Nature 399, 758–761 (1999).
Aidukas, T. et al. High-performance 4-nm-resolution X-ray tomography using burst ptychography. Nature 632, 81–88 (2024).
Gault, B. et al. Atom probe tomography. Nat. Rev. Methods Primer 1, 51 (2021).
Scott, M. C. et al. Electron tomography at 2.4-ångström resolution. Nature 483, 444–447 (2012).
Bosch, E. G. & Lazić, I. Analysis of depth-sectioning STEM for thick samples and 3D imaging. Ultramicroscopy 207, 112831 (2019).
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).
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).
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).
Jena, D. Quantum Physics of Semiconductor Materials and Devices (Oxford University Press, 2022).
Ando, T., Fowler, A. B. & Stern, F. Electronic properties of two-dimensional systems. Rev. Mod. Phys. 54, 437–672 (1982).
Cheng, Y. C. & Sullivan, E. A. On the role of scattering by surface roughness in silicon inversion layers. Surf. Sci. 34, 717–731 (1973).
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).
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).
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).
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).
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).
Chen, X. & Gibson, J. M. Dramatic effect of postoxidation annealing on (100) Si/SiO2 roughness. Appl. Phys. Lett. 70, 1462–1464 (1997).
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).
Goodnick, S. M. et al. Surface roughness at the Si(100)- SiO 2 interface. Phys. Rev. B 32, 8171–8186 (1985).
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).
Chen, Z. et al. Mixed-state electron ptychography enables sub-angstrom resolution imaging with picometer precision at low dose. Nat. Commun. 11, 2994 (2020).
Chen, Z. et al. Electron ptychography achieves atomic-resolution limits set by lattice vibrations. Science 372, 826–831 (2021).
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).
Gao, S. et al. Electron ptychographic microscopy for three-dimensional imaging. Nat. Commun. 8, 163 (2017).
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).
Ishikawa, R., Tanaka, R., Kawahara, K., Shibata, N. & Ikuhara, Y. Atomic-resolution topographic imaging of crystal surfaces. ACS Nano. 15, 9186–9193 (2021).
Ishikawa, R. et al. Single atom visibility in STEM optical depth sectioning. Appl. Phys. Lett. 109, 163102 (2016).
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).
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).
Ishikawa, R., Shibata, N., Taniguchi, T. & Ikuhara, Y. Three-dimensional imaging of a single dopant in a crystal. Phys. Rev. Appl. 13, 034064 (2020).
Lazić, I., Bosch, E. G. T. & Lazar, S. Phase contrast STEM for thin samples: Integrated differential phase contrast. Ultramicroscopy 160, 265–280 (2016).
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).
Maiden, A. M. & Rodenburg, J. M. An improved ptychographical phase retrieval algorithm for diffractive imaging. Ultramicroscopy 109, 1256–1262 (2009).
Rodenburg, J. & Maiden, A. Ptychography. in Springer Handbooks 819–904 (Springer, 2019). https://doi.org/10.1007/978-3-030-00069-1_17.
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).
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).
Chen, Z. et al. Imaging interstitial atoms with multislice electron ptychography. arxiv 2407.18063 (2024).
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).
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).
Tate, M. W. et al. High dynamic range pixel array detector for scanning transmission electron microscopy. Microsc. Microanal. 22, 237–249 (2016).
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).
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).
Varnavides, G. et al. Iterative Phase Retrieval Algorithms for Scanning Transmission Electron Microscopy. Preprint at https://doi.org/10.48550/arXiv.2309.05250 (2024).
Ma, D. & Muller, D. Information limit and dose efficiency of electron ptychography. Microsc. Microanal. 30, ozae044.910 (2024).
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).
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).
Gilgenbach, C., Chen, X. & LeBeau, J. M. A methodology for robust multislice ptychography. Microsc. Microanal. 30, 703–711 (2024).
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).
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).
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).
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).
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).
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).
Karapetyan, S. et al. 3D imaging of defects, buried interfaces, and strain with multislice electron ptychography. Microsc. Microanal. 31, ozaf048.045 (2025).
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).
Madsen, J. & Susi, T. abTEM: ab initio transmission electron microscopy image simulation. Microsc. Microanal. 26, 448–450 (2020).
Aveyard, R. & Rieger, B. Tilt series STEM simulation of a 25×25×25nm semiconductor with characteristic X-ray emission. Ultramicroscopy 171, 96–103 (2016).
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).
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).
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).
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).
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).
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).
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).
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.
Mertens, H. et al. Invited) gate-all-around transistors based on vertically stacked Si nanowires. ECS Trans. 77, 19–30 (2017).
Zhang, X. et al. Super-resolution ptychography with small segmented detectors. Microsc. Microanal. 31, ozae134 (2025).
Zhang, C. et al. Bayesian optimization for multi-dimensional alignment: tuning aberration correctors and ptychographic reconstructions. Microsc. Microanal. 28, 3146–3148 (2022).
Schwartz, J. et al. Real-time 3D analysis during electron tomography using tomviz. Nat. Commun. 13, 4458 (2022).
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).
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.
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).
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
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.
Corresponding author
Ethics declarations
Competing interests
Cornell University (D.A.M.) has licensed the EMPAD hardware to Thermo Fisher Scientific. The other authors declare no competing interests.
Peer review
Peer review information
Nature Communications thanks the anonymous reviewer(s) for their contribution to the peer review of this work. A peer review file is available.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
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
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41467-026-69733-1