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References from Big-data-accelerated aperiodic Si/Ge superlattice prediction for quenching thermal conduction via pattern analysis. Local targets link to admitted publications; unresolved targets remain external evidence.
Coherent phonon heat conduction in superlattices
10.1126/science.1225549 · 2012 · External reference
Machine learning prediction of thermal transport in porous media with physics-based descriptors
10.1016/j.ijheatmasstransfer.2020.120176 · 2020 · External reference
Scalable solution-phase epitaxial growth of symmetry-mismatched heterostructures on two-dimensional crystal soft template
10.1126/sciadv.1600993 · 2016 · External reference
Thermal conductivity of isotopically modified graphene
10.1038/nmat3207 · 2012 · External reference
Thermal boundary conductance across rough interfaces probed by molecular dynamics
10.1103/physrevb.89.054309 · 2014 · External reference
Tuning interfacial thermal conductance of graphene embedded in soft materials by vacancy defects
10.1063/1.4922775 · 2015 · External reference
Machine learning maximized Anderson localization of phonons in aperiodic superlattices
2020 · External reference
Optimization of the random multilayer structure to break the random-alloy limit of thermal conductivity
2015 · External reference
Reduction of thermal conductivity by nanoscale 3D phononic crystal
10.1038/srep01143 · 2013 · External reference
Decomposition of coherent and incoherent phonon conduction in superlattices and random multilayers
2014 · External reference
Effects of aperiodicity and roughness on coherent heat conduction in superlattices
10.1080/15567265.2015.1102186 · 2015 · External reference
Machine learning-optimized Tamm emitter for high-performance thermophotovoltaic system with detailed balance analysis
10.1016/j.nanoen.2020.104687 · 2020 · External reference
Materials informatics
10.1016/s1369-7021(12)70204-3 · 2012 · External reference
Prediction of low-thermal-conductivity compounds with first-principles anharmonic lattice-dynamics calculations and Bayesian optimization
10.1103/physrevlett.115.205901 · 2015 · External reference
Designing nanostructures for phonon transport via Bayesian optimization
2017 · External reference
Quenching thermal transport in aperiodic superlattices: a molecular dynamics and machine learning study
10.1021/acsami.9b18084 · 2020 · External reference
Machine-learning-optimized aperiodic superlattice minimizes coherent phonon heat conduction
2020 · External reference
The atomistic Green's function method for interfacial phonon transport
10.1615/annualrevheattransfer.2014006986 · 2014 · External reference
Unresolved reference
2005 · External reference
Electrical resistance of disordered one-dimensional lattices
10.1080/14786437008238472 · 1970 · External reference
The atomistic Green's function method: an efficient simulation approach for nanoscale phonon transport
10.1080/10407790601144755 · 2007 · External reference
MDTS: automatic complex materials design using Monte Carlo tree search
10.1080/14686996.2017.1344083 · 2017 · External reference
Fast parallel algorithms for short-range molecular dynamics
10.1006/jcph.1995.1039 · 1995 · External reference
Modeling solid-state chemistry: interatomic potentials for multicomponent systems
10.1103/physrevb.39.5566 · 1990 · External reference
Molecular dynamics with coupling to an external bath
10.1063/1.448118 · 1984 · External reference
Molecular-dynamics study of a three-dimensional one-component model for distortive phase transitions
10.1103/physrevb.17.1302 · 1978 · External reference
Resonant thermal transport in semiconductor barrier structures
10.1103/physrevb.69.193305 · 2004 · External reference
Growth of nanowire superlattice structures for nanoscale photonics and electronics
10.1038/415617a · 2002 · External reference
