Multiscale Design of Au-Based Alloys for Improved Plasmon Delivery and Nanoheating in Near-Field Transducers
Okan K. Orhan, Frank Daniel Bello, Nicol\'as Abad\'ia, Ortwin Hess,, John F. Donegan, David D. O'Regan

TL;DR
This paper introduces a multiscale modeling approach to design Au-based alloys for near-field transducers, aiming to enhance their thermal stability and plasmonic performance for nanoscale applications.
Contribution
It combines quantum perturbation theory with finite-element modeling to predict electric and thermal properties of Au alloys, guiding improved NFT material design.
Findings
Au-Ag alloys may improve thermal stability with comparable plasmonic performance.
Au-Pd/Pt alloys show significantly enhanced thermal conductivity.
Low-concentration Pd alloying preserves plasmonic properties while improving stability.
Abstract
Plasmonic near-field transducers (NFTs) play a key role in administering nanoscale heating for a number of applications ranging from medical devices to next generation data processing technology. We present a novel multi-scale approach, combining quantum many-body perturbation theory with finite-element modelling, to predict the electric and thermal material parameters of various Au-based, noble metal (M) alloys. Specifically, we focus on modelling their performance within an NFT designed to focus high-intensity, sub-diffracted light for technologies such as nanoscale etching, manipulation, sensing, and heat-assisted magnetic recording (HAMR). Elemental Au is the long-standing general-purpose NFT medium due its excellent plasmonic performance at relevant wavelengths. However, elemental Au is a soft, ductile material that tends to extrude and deform in response to extreme temperature…
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Taxonomy
TopicsLaser-Ablation Synthesis of Nanoparticles · Gold and Silver Nanoparticles Synthesis and Applications · Near-Field Optical Microscopy
