Probing Electron-Phonon Interactions Away from the Fermi Level with Resonant Inelastic X-Ray Scattering
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The atomistic origin of ultralow thermal conductivity in promising new thermoelectrics is revealed by experiments and simulations.
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Leveraging strong second-order nonlinearities of lithium niobate, we demonstrate synthetic-domain neural networks with both efficient linear and nonlinear operations. A high accuracy of 98.2% is experimentally achieved for a four-class classification task.
Triple axis inelastic neutron data collected on the HB3 instrument at 220 K, 260 K, 300K, 350 K, 400 K, 450 K, 500 K.
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