activity
20062025
most citedExpanding the horizon of automated metamaterials discovery via quantum annealing

190 citations · 2.3k across the 53 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cond-mat.mtrl-sci2020★ 48 cited

Above-room-temperature giant thermal conductivity switching in spintronic multilayer

Hiroyasu Nakayama, Bin Xu, Sotaro Iwamoto +8

Thermal switching provides an effective way for active heat flow control, which has recently attracted increasing attention in terms of nanoscale thermal management technologies. I…

cond-mat.mes-hall2020★ 1 cited

Revisiting thermal conductivity and interface conductance at the nanoscale

B. Davier, P. Dollfus, S. Volz +2

A semi-analytical model for studying thermal transport at the nanoscale, able to accurately describe both the effect of out of equilibrium transport and the thermal transfer at int…

cond-mat.mes-hall2020★ 16 cited

Akhiezer Mechanism Dominates Relaxation of Propagons in Amorphous at Room Temperature

Yuxuan Liao, Junichiro Shiomi

Propagons play an important role in tuning the thermal conductivity of nanostructured amorphous materials. Although advances have been made to quantitatively evaluate the relaxatio…

physics.app-ph2020★ 27 cited

Modulation of interfacial thermal transport between fumed silica nanoparticles by surface chemical functionalization for advanced thermal insulation

Takashi Kodama, Nobuhiro Shinohara, Shih-Wei Hung +4

Since solid-state heat transport in a highly porous nanocomposite strongly depends on the thermal boundary conductance (TBC) between constituent nanomaterials, further suppression…

cond-mat.mtrl-sci2020★ 21 cited

Two-Path Phonon-Interference Resonance Induces a Stop Band in Silicon Crystal Matrix by Embedded Nanoparticles Array

Shiqian Hu, Lei Feng, Shao Cheng +2

In this work, we report a new stop-band formation mechanism by performing the atomistic Green's function calculation and the wave-packet molecular dynamics simulation for a system…

cond-mat.mtrl-sci2020★ 17 cited

Machine learning analysis of tunnel magnetoresistance of magnetic tunnel junctions with disordered MgAl2O4

Shenghong Ju, Yoshio Miura, Kaoru Yamamoto +3

Through Bayesian optimization and the least absolute shrinkage and selection operator (LASSO) technique combined with first-principles calculations, we investigated the tunnel magn…