A Non-Thermal Plasma Route to Plasmonic TiN Nanoparticles

Barragan, Alejandro Alvarez; Ilawe, Niranjan V.; Zhong, Lanlan; Wong, Bryan M.; Mangolini, Lorenzo

doi:10.1021/acs.jpcc.6b08910

Cited by 98 publications

(79 citation statements)

References 52 publications

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“…All the methods discussed herein resulted in crystalline products. Gen-erally,s ynthesis through nonthermal plasma methodsr esulted in monodisperse NPs, [46,47] whereas laser ablation resulted in polydisperse samples. [33,35,36] Other synthetic methods yielded particles with dispersity betweent hese two extremes.…”

Section: Discussionmentioning

confidence: 99%

“…[45] PlasmonicT iN NPs were prepared by reacting TiCl 4 and NH 3 in ac ontinuous-flow nonthermal plasma reactor. [46] Thep article size and composition were controlled by changing the amount of NH 3 supplied.…”

Section: Nonthermal Plasmam Ethodmentioning

confidence: 99%

“…Reproduced with permission from ref. [46].Copyright2 017, American Chemical Society. C) Absorbance spectrum of TiNN Ps prepared by using the nonthermalplasma methodwith tetrakis(dimethylamino)titanium (TDMAT) and NH 3 as precursors.…”

Section: Nonthermal Plasmam Ethodmentioning

confidence: 99%

See 2 more Smart Citations

Overview of Synthetic Methods to Prepare Plasmonic Transition‐Metal Nitride Nanoparticles

Karaballi

Monfared

Dasog

2020

Chemistry A European J

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The search for new plasmonic materials that are low-cost, chemically and thermally stable, and exhibit low optical losses has garnered significant attentiona mong researchers. Recently,m etal nitrides have emerged as promising alternatives to conventional, noble-metal-based plasmonic materials, such as silver and gold. Many of the initial studies on metal nitridesh ave focused on computational prediction of the plasmonic properties of these materials. In recent years, several synthetic methods have been developed to enableempirical analysis. This review highlightssynthetic techniques for the preparation of plasmonic metal nitride nanoparticles, which are predominantly free-standing, by using solid-state and solid-gas phase reactions, nonthermal and arc plasma methods, and laser ablation. The physical properties of the nanoparticles, such as shape, size, crystallinity, and optical response, obtained with such synthetic methods are also summarized.

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Section: Discussionmentioning

confidence: 99%

Section: Nonthermal Plasmam Ethodmentioning

confidence: 99%

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Overview of Synthetic Methods to Prepare Plasmonic Transition‐Metal Nitride Nanoparticles

Karaballi

Monfared

Dasog

2020

Chemistry A European J

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“…One such example of dual functionalities would be the combination of an electrically conductive nanocrystal network, for example, of ZnO nanocrystals with a matrix phase that exhibits plasmonic absorption. Group 4 transition metal nitrides have interesting plasmonic properties [ 60–64 ] and are amenable to ALD. For plasmonic applications, a nanocrystalline matrix is preferable to an amorphous one.…”

Section: Future Opportunities: Exploiting the Hybrid Nature Of Nanocrmentioning

confidence: 99%

Nanocrystal‐based inorganic nanocomposites: A new paradigm for plasma‐produced optoelectronic thin films

Beaudette

Wang

Kortshagen

2020

Plasma Processes & Polymers

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Nanocrystal-based nanocomposites are biphasic materials with intriguing optoelectronic properties. They are formed through, first, plasma-synthesis of nanocrystals, followed by a second, supersonic impact deposition on translated substrates to form densely packed nanocrystal networks at high deposition rates. Third, dense nanocomposites are formed by subsequent infilling of the voids in the nanocrystal networks with a second phase matrix material using thermal-or plasma-enhanced atomic layer deposition. This paper reviews recent efforts to achieve excellent electronic transport in these nanocomposites. It then provides a perspective on how the biphasic nature of these materials can be used to independently control several materials properties and endow materials with multiple functionalities.K E Y W O R D S aerosol deposition, atomic layer deposition, coatings, nanocomposites, nanocrystals

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“…To this end, we have modified our real-time, time-dependent density functional tight binding (RT-TDDFTB) code to make use of the highly parallelized architecture of FPGAs. Our motivation for implementing RT-TDDFTB with FPGAs is two-fold: (1) the RT-TDDFTB formalism scales favorably with system size and allows us to compare the performance of FPGAs with other parallelized hardware approaches, namely the GPU-enabled DFTB and RT-TDDFTB implementations used in our prior work, [14][15][16][17][18] and (2) the techniques presented in this work can be used as a first step towards full DFT-based electron dynamics or other DFTB-based methodological developments such as large-scale non-adiabatic dynamics calculations. Since FPGAs have not been previously used by the quantum dynamics community, we give a detailed description of our approach (at both a hardware and programming level of detail) in conjunction with several benchmark tests.…”

Section: Introductionmentioning

confidence: 99%

Field Programmable Gate Arrays (FPGAs) for Enhancing the Speed and Energy Efficiency of Quantum Dynamics Simulations

Rodriguez-Borbon¹,

Kalantar²,

Yamijala³

et al. 2020

Preprint

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We present the first application of field programmable gate arrays (FPGAs) as new, <i>customizable</i> hardware architectures that can be harnessed for the fast and energy-efficient calculation of quantum dynamics simulations of large chemical/material systems. Instead of tailoring the software to fixed hardware (which is the typical case for writing quantum chemistry code for CPUs/GPUs), FPGAs allow us to <i>directly customize the underlying hardware</i> - even at the level of specific electrical signals in the circuit - to give a truly optimized computational performance for complex quantum dynamics calculations. By offloading the most intensive and repetitive calculations onto an FPGA, we show that the computational performance of our hardware implementation for real-time electron dynamics calculations can even exceed that of optimized commercial mathematical libraries running on high-performance GPUs. In addition to this impressive computational speedup, we show that FPGAs are immensely energy-efficient and consume 4 times less energy than modern GPU or CPU architectures. These energy savings are a practical and important metric for supercomputing centers (several of which exceed over $1 million in power costs alone), as exascale computing capabilities become more widespread and commonplace. Taken together, the implementation techniques and performance metrics of our study demonstrate that FPGAs could play a promising role in upcoming quantum chemistry and materials science applications, particularly for the acceleration and energy-efficient execution of quantum dynamics calculations.

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A Non-Thermal Plasma Route to Plasmonic TiN Nanoparticles

Cited by 98 publications

References 52 publications

Overview of Synthetic Methods to Prepare Plasmonic Transition‐Metal Nitride Nanoparticles

Overview of Synthetic Methods to Prepare Plasmonic Transition‐Metal Nitride Nanoparticles

Nanocrystal‐based inorganic nanocomposites: A new paradigm for plasma‐produced optoelectronic thin films

Field Programmable Gate Arrays (FPGAs) for Enhancing the Speed and Energy Efficiency of Quantum Dynamics Simulations

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