Diamond-Like Carbon Thin Film Electrodes for Microfluidic Bioelectrochemical Sensing Platforms

Triroj, Napat; Saensak, Rattanakorn; Porntheeraphat, Supanit; Paosawatyanyong, Boonchoat; Amornkitbamrung, Vittaya

doi:10.1021/acs.analchem.9b04689

Cited by 20 publications

(14 citation statements)

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“…We carried out a comprehensive study of structural and mechanical properties, which is in good agreement with existing experiments and could help with the planning and interpretation of new ones. The structural models presented here can enable further stud-ies of amorphous carbon materials for diverse technological applications, including friction management [100][101][102][103], batteries [39,104], or biomedical sensing [27,[105][106][107]. The predicted formation of sp 2 -rich structures at low impact energies, and the suggestion of a finely tuned balance between competing coordination environments by varying the energy of the impacting ions, may in the future be tested by experiments.…”

Section: Discussionmentioning

confidence: 94%

Machine learning driven simulated deposition of carbon films: From low-density to diamondlike amorphous carbon

et al. 2020

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Amorphous carbon (a-C) materials have diverse interesting and useful properties, but the understanding of their atomic-scale structures is still incomplete. Here, we report on extensive atomistic simulations of the deposition and growth of a-C films, describing interatomic interactions using a machine learning (ML) based Gaussian Approximation Potential (GAP) model. We expand widely on our initial work [Phys. Rev. Lett. 120, 166101 (2018)] by now considering a broad range of incident ion energies, thus modeling samples that span the entire range from low-density (sp 2-rich) to high-density (sp 3-rich, "diamond-like") amorphous forms of carbon. Two different mechanisms are observed in these simulations, depending on the impact energy: low-energy impacts induce sp-and sp 2-dominated growth directly around the impact site, whereas high-energy impacts induce peening. Furthermore, we propose and apply a scheme for computing the anisotropic elastic properties of the a-C films. Our work provides fundamental insight into this intriguing class of disordered solids, as well as a conceptual and methodological blueprint for simulating the atomic-scale deposition of other materials with ML-driven molecular dynamics.

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Section: Discussionmentioning

confidence: 94%

Machine learning driven simulated deposition of carbon films: From low-density to diamondlike amorphous carbon

et al. 2020

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“…We have presented a comprehensive study of structural and mechanical properties, which is in good agreement with existing experiments and could help with the planning and interpretation of new ones. The structural models presented here can enable further studies of amorphous carbon functional materials for diverse technological applications, including friction management [94][95][96][97], batteries [39,98], or biomedical sensing [27,[99][100][101]. The predicted formation of sp 2 -rich structures at low impact energies, and the suggestion of a finely "tuned" balance between competing coordination environments by varying the energy of the impacting ions, may…”

Section: Discussionmentioning

confidence: 87%

Machine learning driven simulated deposition of carbon films: from low-density to diamondlike amorphous carbon

Caro,

Csányi,

Laurila

et al. 2020

Preprint

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Amorphous carbon (a-C) materials have diverse interesting and useful properties, but the understanding of their atomic-scale structures is still incomplete. Here, we report on extensive atomistic simulations of the deposition and growth of a-C films, describing interatomic interactions using a machine learning (ML) based Gaussian Approximation Potential (GAP) model. We expand widely on our initial work [Phys. Rev. Lett. 120, 166101 (2018)] by now considering a broad range of incident ion energies, thus modeling samples that span the entire range from low-density (sp 2 -rich) to high-density (sp 3 -rich, "diamond-like") amorphous forms of carbon. Two different mechanisms are observed in these simulations, depending on the impact energy: low-energy impacts induce sp-and sp 2 -dominated growth directly around the impact site, whereas high-energy impacts induce peening. Furthermore, we propose and apply a scheme for computing the anisotropic elastic properties of the a-C films. Our work provides fundamental insight into this intriguing class of disordered solids, as well as a conceptual and methodological blueprint for simulating the atomic-scale deposition of other materials with ML-driven molecular dynamics.

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“…Amorphous carbon materials have outstanding properties that can be useful in a variety of applications 1–3 . For instance, amorphous carbon with predominance of tetrahedral (sp 3 ) structure, known as diamond‐like carbon (DLC), has mechanical characteristics similar to diamond 4–7 .…”

Section: Introductionmentioning

confidence: 99%

“…4 Additional spectral features of the D and G bands (relative intensity, band position, and full width at half maximum) can be used to describe other material properties, including crystallinity, degree of functionalization (e.g., hydrogenation), and even the number of layers in graphene materials. [30][31][32] A general Raman model to qualitatively distinguish amorphous carbon materials rich in carbon sp 3 (DLC) from samples with high sp 2 carbon content (graphite-like) has been proposed. 7 Such model uses the values of the G-band position (Pos(G)), the intensity ratio between D and G bands (I(D)/I(G)), and the full width at half maximum of the G band (FWHM(G)) of different forms of standard carbon to describe an amorphization trajectory for carbon materials and films.…”

Section: Introductionmentioning

confidence: 99%

“…Amorphous carbon materials have outstanding properties that can be useful in a variety of applications. [1][2][3] For instance, amorphous carbon with predominance of tetrahedral (sp 3 ) structure, known as diamond-like carbon (DLC), has mechanical characteristics similar to diamond. [4][5][6][7] The physical and chemical properties of carbon materials can be tailored by varying the predominant carbon hybridization (sp 2 or sp 3 ) and levels of crystallinity and by chemical modification.…”

Section: Introductionmentioning

confidence: 99%

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Raman maps reveal heterogeneous hydrogenation on carbon materials

daFonseca

Thind

Brolo

2020

J Raman Spectroscopy

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This work presents an application of Raman spectroscopy as a tool to investigate heterogeneity in the composition of carbon materials obtained electrochemically. A combination of Raman maps and histograms has been used to describe samples synthesized via wet chemistry. The results showed that a simple evaluation of an average spectrum or one single spectrum per sample would have hidden important compositional variations present in the film. The Raman maps revealed heterogeneous hydrogenation in different areas of the carbon films, whereas histograms described the statistical relevance of the classification of the different types of carbon materials. The effect of electrosynthesis parameters on the quality of the films was also investigated. As the deposition time increased, the carbon films showed higher homogeneity in their spatial composition. The nature of the electrolyte led to differences in film functionalization and on the degree of hydrogenation.

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Diamond-Like Carbon Thin Film Electrodes for Microfluidic Bioelectrochemical Sensing Platforms

Cited by 20 publications

References 59 publications

Machine learning driven simulated deposition of carbon films: From low-density to diamondlike amorphous carbon

Machine learning driven simulated deposition of carbon films: From low-density to diamondlike amorphous carbon

Machine learning driven simulated deposition of carbon films: from low-density to diamondlike amorphous carbon

Raman maps reveal heterogeneous hydrogenation on carbon materials

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