journal article·2023Open access

Atomistic mechanisms underlying plastic flow at ultralow yield stress in ductile carbon aerogels

Giorgio Conter, Kailu Xiao, Xianqian Wu, William A. Goddard, Alessandro Fortunelli

Nanoscale· Volume 15· Issue 48

Abstract

We investigated carbon aerogel samples with super low densities of 0.013 g cm-3 (graphite is 2.5) and conducted compression experiments showing a very low yield stress of 5-8 kPa. To understand the atomistic mechanisms operating in these super low density aerogels, we present a computational study of the mechanical response of very low-density amorphous carbonaceous materials. We start from our previously derived atomistic models (based on the DynReaxMas method) with a density of 0.16 g cm-3 representing the core regions of carbon aerogels. We considered three different phases exhibiting either a fiber-like clump morphology interconnected with string-like units or a more reticulated framework. We subjected these phases to compression and shear deformations and analyzed the resulting plastic response via an inherent-structure protocol. Strikingly, we find that these materials possess shear plastic relaxation modes with extremely low values of yield stress, negligible with respect to the finite values predicted outside this "zero-stress" region. This is followed by a succession of two additional regimes with increasing yield stress values. Our analysis of the atomistic relaxation mechanisms finds that these modes have a collective and cooperative character, taking the form of nanoscopic shear bands within the clumps. These findings rationalize our experimental observations of very low-stress plastic deformation modes in carbon aerogels, providing the first steps for developing a predictive multi-scale modeling of the mechanical properties of aerogel materials.
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Research context

OpenAlex topics: Aerogels and thermal insulation · Graphene research and applications · Supercapacitor Materials and Fabrication

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Scuola Normale Superiore, Piazza dei Cavalieri 7, Pisa, 56125, Italy

Department of Materials Science and Engineering, Texas A&M University, College Station, Texas 77840, USA

Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China

Materials and Process Simulation Center (MSC), California Institute of Technology, Pasadena, California 91125, USA

CNR-ICCOM, Consiglio Nazionale delle Ricerche, ThC2-Lab, via G. Moruzzi 1, Pisa, 56124, Italy

Funding

Division of Chemical, Bioengineering, Environmental, and Transport Systems

References (19)

Show source-provided references
1. Hu · Adv. Mater. · 2018 · 25 · 221910.1002/adma.201204530 ↗
2. Thakur · Mater. Today: Proc. · 2022 · 65 · 3369
3. A.Lele , Disruptive Technologies for the Militaries and Security , Springer , Singapore , 2018
4. Zhuo · Adv. Mater. · 2018 · 30 · 170670510.1002/adma.201706705 ↗
5. Lee · Science · 2008 · 321 · 38510.1126/science.1157996 ↗
6. Monti · ACS Nano · 2021 · 15 · 636910.1021/acsnano.0c08029 ↗
7. Nielson · J. Phys. Chem. A · 2005 · 109 · 49310.1021/jp046244d ↗
8. Van Duin · J. Phys. Chem. A · 2001 · 105 · 939610.1021/jp004368u ↗
9. Plimpton · J. Comput. Phys. · 1995 · 117 · 110.1006/jcph.1995.1039 ↗
10. LAMMPS manual, https://docs.lammps.org/fix_box_relax.html
11. Fortunelli · J. Chem. Phys. · 2004 · 121 · 494110.1063/1.1778157 ↗
12. S.Müller
13. S.Müller , in Calculus of Variations and Geometric Evolution Problems , ed. F. Bethuel , G. Huisken , S. Müller , K. Steffen , S. Hildebrandt and M. Struwe , Springer , Berlin , 1999
14. Fortunelli · Phys. Rev. E: Stat., Nonlinear, Soft Matter Phys. · 2007 · 76 · 04180610.1103/PhysRevE.76.041806 ↗
15. Srinivasan · J. Phys. Chem. A · 2015 · 119 · 57110.1021/jp510274e ↗
16. de Tomas · Carbon · 2019 · 155 · 62410.1016/j.carbon.2019.07.074 ↗
17. Rowe · J. Chem. Phys. · 2020 · 153 · 15990110.1063/5.0005084 ↗
18. Liu · Small Methods · 2020 · 4 · 190082710.1002/smtd.201900827 ↗
19. Zhang · Small Methods · 2020 · 4 · 200001610.1002/smtd.202000016 ↗