2026-07-30 アルゴンヌ国立研究所（ANL）
Scientific illustration of energy transfer between atomic-scale defects in a solid, as modeled by the open-source PyRET software developed by Argonne and UChicago researchers. (Image by Argonne National Laboratory.)
＜関連情報＞
- https://www.anl.gov/article/new-opensource-software-predicts-energy-transfer-between-tiny-defects-in-solid-materials
- https://journals.aps.org/prresearch/abstract/10.1103/8h8j-b79r
- https://tiisys.com/blog/2024/10/03/post-145414/
光共振器内の局在発光体間のエネルギー伝達（第一原理に基づく） Energy transfer between localized emitters in photonic cavities from first principles
Swarnabha Chattaraj and Giulia Galli
Physical Review Research Published: 9 September, 2025
DOI: https://doi.org/10.1103/8h8j-b79r
Abstract
Radiative and nonradiative resonant couplings between defects are ubiquitous phenomena in photonic devices used in classical and quantum information technology applications. In this work, we present a first-principles approach to enable quantitative predictions of the energy transfer between defects in photonic cavities, beyond the dipole-dipole approximation and including the many-body nature of the electronic states. As an example, we discuss the energy transfer from a dipolelike emitter to an center in MgO in a spherical cavity. We show that the cavity can be used to controllably enhance or suppress specific spin-flip and spin-conserving transitions. Specifically, we predict that an ∼10–100 enhancement in the resonant energy transfer rate can be gained in the case of the center in MgO at ∼10 nm distances from a dipolar source, using rather moderate cavity with quality factor ∼ 400. We also show that a similar suppression in the transfer rate can be achieved by off-tuning the cavity resonance relative to the emitter transition energy. The framework presented here is general and readily applicable to a wide range of devices where localized emitters are embedded in microspheres, core-shell nanoparticles, and dielectric Mie resonators. Hence, our approach paves the way to predict how to control energy transfer in quantum memories and in ultrahigh-density optical memories, and in a variety of quantum information platforms.
