Resolving Nonequilibrium Phonon Dynamics in Moiré Heterostructures with Machine Learned Interatomic Potentials for Enhancing Thermal Transport
ORAL
Abstract
Here, we present a multiphonon-scattering approach integrating split-MLIPs, recently developed for layered materials [2], to recover momentum-resolved phonon populations and scattering pathways in moiré heterostructures from ultrafast electron diffraction analysis from our collaborators. Applied to bilayer MoSe₂/WSe₂, we find long-lived M-, K-, and Q-valley phonons with lifetimes varying systematically with twist and material pairing, identifying optimal twists and pairings that maximize interlayer phonon coupling.
*This work was supported by the Office of Naval Research through the Multi-University Research Initiative (MURI) on Twist-Optics (Grant # N00014-23-1-2567) and by the National Science Foundation CAREER award through grant no. DMR-2238328. JDG acknowledges the partial support of the Natural Sciences and Engineering Research Council of Canada (NSERC), PGS D-568202-2022.
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Publication: [1] Johnson, A.C. et al. (2024) 'Hidden phonon highways promote photoinduced interlayer energy transfer in twisted transition metal dichalcogenide heterostructures', Science Advances, 10(4).
[2] Georgaras, J.D. et al. (2025) Accurate, transferable, and verifiable machine-learned interatomic potentials for layered materials, arXiv: .
Presenters
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Johnathan Dimitrios Georgaras
- Stanford University