Copper delocalization leads to ultralow thermal conductivity in chalcohalide CuBiSeCl2
arXiv:2412.03976 · doi:10.1103/PhysRevB.111.195207
Abstract
Mixed anion halide-chalcogenide materials have attracted considerable attention due to their exceptional optoelectronic properties, making them promising candidates for various applications. Among these, CuBiSeCl_2 has recently been experimentally identified with remarkably low lattice thermal conductivity (k_L). In this study, we employ Wigner transport theory combined with neuroevolution machine learning potential (NEP)-assisted self-consistent phonon calculations to unravel the microscopic origins of this low k_L. Our findings reveal that the delocalization and weak bonding of copper atoms are key contributors to the strong phonon anharmonicity and wavelike tunneling (random walk diffusons). These insights deepen our understanding of the relationship between bonding characteristics, anharmonicity, delocalization, and vibrational dynamics, paving the way for the design and optimization of CuBiSeCl_2 and analogous materials for advanced phonon engineering applications.
References in corpus (19)
- Van der Waals density functionals applied to solids
- Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics
- DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics
- Unified theory of thermal transport in crystals and disordered solids
- Self-consistent phonon calculations of lattice dynamical properties in cubic SrTiO with first-principles anharmonic force constants
- GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations
- Quantum mechanical prediction of four-phonon scattering rates and reduced thermal conductivity of solids
- Homogeneous nonequilibrium molecular dynamics method for heat transport and spectral decomposition with many-body potentials
- Modeling heat transport in crystals and glasses from a unified lattice-dynamical approach
- Accelerating first-principles estimation of thermal conductivity by machine-learning interatomic potentials: A MTP/ShengBTE solution
- Unusually low thermal conductivity of atomically thin 2D tellurium
- Microscopic Mechanisms of Glass-Like Lattice Thermal Transport in Cubic CuSbS Tetrahedrites
- Unravelling Ultralow Thermal Conductivity in Double Perovskite Cs2AgBiBr6: Dominant Wave-like Phonon Tunnelling, Strong Quartic Anharmonicity and Lattice Instability
- Molecular dynamics simulations of heat transport using machine-learned potentials: A mini review and tutorial on GPUMD with neuroevolution potentials
- Spectral Decomposition of Thermal Conductivity: Comparing Velocity Decomposition Methods in Homogeneous Molecular Dynamics Simulations
- The role of high-order anharmonicity and off-diagonal terms in thermal conductivity: a case study of multi-phase CsPbBr3
- Machine learning for predicting ultralow thermal conductivity and high ZT in complex thermoelectric materials
- Anomalous thermal conductivity in 2D silica nanocages of immobilizing noble gas atom
- Bonding Hierarchy and Coordination Interaction Leading to High Thermoelectricity in Wide Bandgap TlAgI2