IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-023-44332-6.html
   My bibliography  Save this article

Microscopic mechanisms of pressure-induced amorphous-amorphous transitions and crystallisation in silicon

Author

Listed:
  • Zhao Fan

    (The University of Tokyo)

  • Hajime Tanaka

    (The University of Tokyo
    University of Tokyo)

Abstract

Some low-coordination materials, including water, silica, and silicon, exhibit polyamorphism, having multiple amorphous forms. However, the microscopic mechanism and kinetic pathway of amorphous-amorphous transition (AAT) remain largely unknown. Here, we use a state-of-the-art machine-learning potential and local structural analysis to investigate the microscopic kinetics of AAT in silicon after a rapid pressure change. We find that the transition from low-density-amorphous (LDA) to high-density-amorphous (HDA) occurs through nucleation and growth, resulting in non-spherical interfaces that underscore the mechanical nature of AAT. In contrast, the reverse transition occurs through spinodal decomposition. Further pressurisation transforms LDA into very-high-density amorphous (VHDA), with HDA serving as an intermediate state. Notably, the final amorphous states are inherently unstable, transitioning into crystals. Our findings demonstrate that AAT and crystallisation are driven by joint thermodynamic and mechanical instabilities, assisted by preordering, occurring without diffusion. This unique mechanical and diffusion-less nature distinguishes AAT from liquid-liquid transitions.

Suggested Citation

  • Zhao Fan & Hajime Tanaka, 2024. "Microscopic mechanisms of pressure-induced amorphous-amorphous transitions and crystallisation in silicon," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-023-44332-6
    DOI: 10.1038/s41467-023-44332-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-44332-6
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-44332-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Yuan-Chao Hu & Hajime Tanaka, 2022. "Revealing the role of liquid preordering in crystallisation of supercooled liquids," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Taiki Yanagishima & John Russo & Hajime Tanaka, 2017. "Common mechanism of thermodynamic and mechanical origin for ageing and crystallization of glasses," Nature Communications, Nature, vol. 8(1), pages 1-10, August.
    3. Zhao Fan & Evan Ma, 2021. "Predicting orientation-dependent plastic susceptibility from static structure in amorphous solids via deep learning," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    4. Jeffrey R. Errington & Pablo G. Debenedetti, 2001. "Relationship between structural order and the anomalies of liquid water," Nature, Nature, vol. 409(6818), pages 318-321, January.
    5. Osamu Mishima & H. Eugene Stanley, 1998. "The relationship between liquid, supercooled and glassy water," Nature, Nature, vol. 396(6709), pages 329-335, November.
    6. Volker L. Deringer & Noam Bernstein & Gábor Csányi & Chiheb Mahmoud & Michele Ceriotti & Mark Wilson & David A. Drabold & Stephen R. Elliott, 2021. "Origins of structural and electronic transitions in disordered silicon," Nature, Nature, vol. 589(7840), pages 59-64, January.
    7. Sudip K. Deb & Martin Wilding & Maddury Somayazulu & Paul F. McMillan, 2001. "Pressure-induced amorphization and an amorphous–amorphous transition in densified porous silicon," Nature, Nature, vol. 414(6863), pages 528-530, November.
    8. A. Hasmy & S. Ispas & B. Hehlen, 2021. "Percolation transitions in compressed SiO2 glasses," Nature, Nature, vol. 599(7883), pages 62-66, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stanley, H.Eugene & Buldyrev, Sergey V. & Giovambattista, Nicolas, 2004. "Static heterogeneities in liquid water," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 342(1), pages 40-47.
    2. Stanley, H.Eugene & Andrade, José S. & Havlin, Shlomo & Makse, Hernán A. & Suki, Béla, 1999. "Percolation phenomena: a broad-brush introduction with some recent applications to porous media, liquid water, and city growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 266(1), pages 5-16.
    3. Rizzatti, Eduardo Osório & Gomes Filho, Márcio Sampaio & Malard, Mariana & Barbosa, Marco Aurélio A., 2019. "Waterlike anomalies in the Bose–Hubbard model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 518(C), pages 323-330.
    4. Bo Lin & Jian Jiang & Xiao Cheng Zeng & Lei Li, 2023. "Temperature-pressure phase diagram of confined monolayer water/ice at first-principles accuracy with a machine-learning force field," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    5. Huziel E. Sauceda & Luis E. Gálvez-González & Stefan Chmiela & Lauro Oliver Paz-Borbón & Klaus-Robert Müller & Alexandre Tkatchenko, 2022. "BIGDML—Towards accurate quantum machine learning force fields for materials," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    6. Stanley, H.E. & Kumar, P. & Xu, L. & Yan, Z. & Mazza, M.G. & Buldyrev, S.V. & Chen, S.-H. & Mallamace, F., 2007. "The puzzling unsolved mysteries of liquid water: Some recent progress," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 386(2), pages 729-743.
    7. Rui Shi & Anthony J. Cooper & Hajime Tanaka, 2023. "Impact of hierarchical water dipole orderings on the dynamics of aqueous salt solutions," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    8. Cardoso, Daniel Souza & Hernandes, Vinicius Fonseca & Nogueira, T.P.O. & Bordin, José Rafael, 2021. "Structural behavior of a two length scale core-softened fluid in two dimensions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    9. Lu, Fenglian & Chen, Weiye & Hu, Shuzhi & Chen, Lei & Sharshir, Swellam W. & Dong, Chuanshuai & Zhang, Lizhi, 2024. "Achieving a smart thermal management for lithium-ion batteries by electrically-controlled crystallization of supercooled calcium chloride hexahydrate solution," Applied Energy, Elsevier, vol. 364(C).
    10. Bumstead, M. & Arnold, B. & Turak, A., 2017. "Reproducing morphologies of disorderly self-assembling planar molecules with static and dynamic simulation methods by matching density," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 301-314.
    11. Stephan Thaler & Julija Zavadlav, 2021. "Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    12. Gorban, Alexander, 2007. "Order–disorder separation: Geometric revision," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 374(1), pages 85-102.
    13. Meijia Qiu & Peng Sun & Kai Han & Zhenjiang Pang & Jun Du & Jinliang Li & Jian Chen & Zhong Lin Wang & Wenjie Mai, 2023. "Tailoring water structure with high-tetrahedral-entropy for antifreezing electrolytes and energy storage at −80 °C," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    14. Daniel Hedman & Ben McLean & Christophe Bichara & Shigeo Maruyama & J. Andreas Larsson & Feng Ding, 2024. "Dynamics of growing carbon nanotube interfaces probed by machine learning-enabled molecular simulations," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    15. Francesc Font-Clos & Marco Zanchi & Stefan Hiemer & Silvia Bonfanti & Roberto Guerra & Michael Zaiser & Stefano Zapperi, 2022. "Predicting the failure of two-dimensional silica glasses," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    16. Zhen Wei Wu & Yixiao Chen & Wei-Hua Wang & Walter Kob & Limei Xu, 2023. "Topology of vibrational modes predicts plastic events in glasses," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    17. Hanwen Zhang & Veronika Juraskova & Fernanda Duarte, 2024. "Modelling chemical processes in explicit solvents with machine learning potentials," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    18. Kanth, Jampa Maruthi Pradeep & Anishetty, Ramesh, 2012. "Molecular mean field theory for liquid water," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(3), pages 439-455.
    19. Gautam, Arvind K. & Chandra, Avinash, 2020. "A computational study of excess properties for mW potential model of water in supercooled region," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 548(C).
    20. Nogueira, T.P.O. & Bordin, José Rafael, 2022. "Patterns in 2D core-softened systems: From sphere to dumbbell colloids," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-023-44332-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.