Hydrogen effects on the thermal conductivity of delocalized vibrational modes in amorphous silicon nitride 
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Braun, Jeffrey L.; King, Sean W.; Hoglund, Eric R.; Gharacheh, Mehrdad Abbasi; Scott, Ethan A.; Giri, Ashutosh; Tomko, John A.; Gaskins, John T.; Al-kukhun, Ahmad; Bhattarai, Gyanendra; Paquette, Michelle M.; Chollon, Georges; Willey, Benjamin; Antonelli, G. A.; Gidley, David W.; Hwang, Jinwoo; Howe, James M.; Hopkins, Patrick E.

doi:10.1103/physrevmaterials.5.035604

Cited by 12 publications

(3 citation statements)

References 104 publications

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“…The thermal conductivity of a-SiN has been targeted by several former publications for a variety of deposition method, stoichiometry, density, and H-content; for a review see Ref. [38]. For a stoichiometry between 1 and 1.1 and a density in the range [2.9:3.1] g cm −3 , close to the conditions of the present study, the in-plane thermal conductivity of non-hydrogenated a-SiN is equal to 2.5 to 3.7 W K −1 m −1 for film thicknesses between 50 nm and 4 µm [11,[39][40][41].…”

Section: B Thermal Conductivitymentioning

confidence: 99%

Assessing the thermal conductivity of amorphous SiN by approach-to-equilibrium molecular dynamics

Lambrecht,

Ori,

Massobrio

et al. 2024

The Journal of Chemical Physics

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First-principles molecular dynamics combined with the approach-to-equilibrium molecular dynamics methodology is employed to calculate the thermal conductivity of non-stoichiometric amorphous SiN. This is achieved by implementing thermal transients in five distinct models of different sizes along the direction of the heat transport. Such models have identical structural features and are representative of the same material, thereby allowing for a reliable analysis of thermal conductivity trends as a function of the relevant cell dimension. In line with the known physical law of heat propagation at short scale, the thermal conductivity increases in size with the direction of heat transport. The observed behavior is rationalized accounting for previous results on crystalline and amorphous materials, thus providing a unified description holding for a large class of materials and spanning a wide range of heat propagation lengths.

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Section: B Thermal Conductivitymentioning

confidence: 99%

Assessing the thermal conductivity of amorphous SiN by approach-to-equilibrium molecular dynamics

Lambrecht,

Ori,

Massobrio

et al. 2024

The Journal of Chemical Physics

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“…Aluminum or aluminum oxide [22][23][24][25] Gold [26][27][28] Silver [29][30][31] Titanium oxide [32][33][34] Silicon nitride [35][36][37] Glass membranes [38][39][40] Organic Cellulose nitrate, nitrocellulose, cellulose acetate…”

Section: Inorganicmentioning

confidence: 99%

“…This type of membrane can be of two types; (i) Organic membranes covered by a thin layer of inorganic material, usually, a conductor such as gold [31,[40][41][42][43][44][45]; and (ii) Membranes synthesized by sol-gel methods to obtain structures of inorganic nanoparticles with polymer chains [13,26,30,46]. Finally, composite membranes are multiple layers of membranes that are stacked together side-to-side or vertically to comprise a whole sensor [32][33][34][35][36][37][38]47].…”

Section: Inorganicmentioning

confidence: 99%

Advanced Functional Membranes for Sensor Technologies

Hernández-Martínez

2022

Advanced Functional Membranes

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Sensors are modern data acquisition devices intended for detecting a specific change in the surrounding area and responding with an output signal. Among them, biological sensors (or biosensors) are of great interest due to their capacity for detecting molecules that indicate changes in people's health. This chapter provides an overview of the polymeric membranes that have novel or advanced functions in applications for the development of lab-on-chip or sensor technologies. Important approaches in this matter include the improvement of membranes as supporting medium of recognition element of the sensor, advances in membrane composition for protecting the integrity of target molecules, or the option to filter undesired components. The chapter is divided into three sections: membrane fabrication, molecular probes and platforms for reading sensor devices.

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Toward Accurate Thermal Modeling of Phase Change Material‐Based Photonic Devices

Aryana,

Kim,

Popescu

et al. 2023

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Reconfigurable or programmable photonic devices are rapidly growing and have become an integral part of many optical systems. The ability to selectively modulate electromagnetic waves through electrical stimuli is crucial in the advancement of a variety of applications from data communication and computing devices to environmental science and space explorations. Chalcogenide‐based phase‐change materials (PCMs) are one of the most promising material candidates for reconfigurable photonics due to their large optical contrast between their different solid‐state structural phases. Although significant efforts have been devoted to accurate simulation of PCM‐based devices, in this paper, three important aspects which have often evaded prior models yet having significant impacts on the thermal and phase transition behavior of these devices are highlighted: the enthalpy of fusion, the heat capacity change upon glass transition, as well as the thermal conductivity of liquid‐phase PCMs. The important topic of switching energy scaling in PCM devices, which also helps explain why the three above‐mentioned effects have long been overlooked in electronic PCM memories but only become important in photonics, is further investigated. These findings offer insight to facilitate accurate modeling of PCM‐based photonic devices and can inform the development of more efficient reconfigurable optics.

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Hydrogen effects on the thermal conductivity of delocalized vibrational modes in amorphous silicon nitride (a−SiNx:H)

Cited by 12 publications

References 104 publications

Assessing the thermal conductivity of amorphous SiN by approach-to-equilibrium molecular dynamics

Assessing the thermal conductivity of amorphous SiN by approach-to-equilibrium molecular dynamics

Advanced Functional Membranes for Sensor Technologies

Toward Accurate Thermal Modeling of Phase Change Material‐Based Photonic Devices

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