2019
DOI: 10.1038/s41467-019-13371-3
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Templated dewetting of single-crystal sub-millimeter-long nanowires and on-chip silicon circuits

Abstract: Large-scale, defect-free, micro- and nano-circuits with controlled inter-connections represent the nexus between electronic and photonic components. However, their fabrication over large scales often requires demanding procedures that are hardly scalable. Here we synthesize arrays of parallel ultra-long (up to 0.75 mm), monocrystalline, silicon-based nano-wires and complex, connected circuits exploiting low-resolution etching and annealing of thin silicon films on insulator. Phase field simulations reveal that… Show more

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Cited by 35 publications
(20 citation statements)
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References 68 publications
(107 reference statements)
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“…To fabricate horizontal arrays, ink-jet printing provides another common methodology to control the position of nucleation, which manipulates the crystallization through the regulation of inorganic precursors and dispersants in sols. [19,25,26] Owing to the coffee-ring and Marangoni effects, disordered capillary flows could prompt an uncontrollable mass transfer, yielding polycrystalline nanostructures with grain boundaries and surface defects, which restrict the device performance due to their large surface recombination rate and short carrier lifetime. [17,[27][28][29][30] Therefore, it is essential to fabricate programmable inorganic material patterns with full control over the position, morphology, size, crystallinity and defect density, which contribute to the implementation of electronic and photonic devices.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…To fabricate horizontal arrays, ink-jet printing provides another common methodology to control the position of nucleation, which manipulates the crystallization through the regulation of inorganic precursors and dispersants in sols. [19,25,26] Owing to the coffee-ring and Marangoni effects, disordered capillary flows could prompt an uncontrollable mass transfer, yielding polycrystalline nanostructures with grain boundaries and surface defects, which restrict the device performance due to their large surface recombination rate and short carrier lifetime. [17,[27][28][29][30] Therefore, it is essential to fabricate programmable inorganic material patterns with full control over the position, morphology, size, crystallinity and defect density, which contribute to the implementation of electronic and photonic devices.…”
Section: Introductionmentioning
confidence: 99%
“…[ 15–18 ] To address this point, some approaches have been developed to control the position of inorganic nucleation, such as mold‐mediated methods and printing techniques. [ 19–21 ] For example, the anodized aluminum oxide (AAO) mold employs micro/nanosize channels to confine the crystallization of target inorganic materials, yielding vertically aligned nanostructure arrays with controllable size, shape, dimensions, and spacing. [ 22–24 ] However, compared with vertical arrays, horizontal arrays are more beneficial to the extensive applications in the integrated optoelectronic area.…”
Section: Introductionmentioning
confidence: 99%
“…Only nanowires with a diameter greater than 55 nm show a crystallization temperature of 500 °C, in agreement with that of bulk germanium [ 26 ]. The proposed interpretation is that oxygen atoms hinder both the formation and growth of crystallites by penetrating the nanowire more than the typical thickness of the native oxide, of the order of a few nm [ 28 , 29 ], thus interfering deeply with the crystallization dynamics in thin nanowires. The thickness of native oxide is typically not very stable under thermal treatments, being easily removed during annealing.…”
Section: Discussionmentioning
confidence: 99%
“…See, for example, the discussion in Backofen et al 25 . In fact, several simulations for realistic applications in materials science consider this model—see, for example, other studies 26‐38 —and claim that their large‐scale simulations would not be feasible without the additional degeneracy. The drawback of this DDCH model, which is termed RRV model in several publications, 22,31,36 is that it is nonvariational.…”
Section: Introductionmentioning
confidence: 99%