4.8 Article

Quantum prediction of ultra-low thermal conductivity in lithium intercalation materials

Journal

NANO ENERGY
Volume 75, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.nanoen.2020.104916

Keywords

Lithium intercalation materials; Batteries; Thermal conductivity; First principles; Four-phonon scattering

Funding

  1. U.S. Department of Energy (DOE), Office of Science, Office of Basic Energy Sciences (BES), Materials Sciences and Engineering Division [DE-FG0209ER46554]
  2. Vanderbilt McMinn Endowment
  3. DOE Office of Energy Efficiency & Renewable Energy (EERE), Building Technologies Office
  4. National Energy Research Scientific Computing Center (NERSC), a Department of Energy, Office of Science, User Facility [DE-AC02-05CH11231]

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Lithium-intercalated layered transition-metal oxides, LixTMO2, brought about a paradigm change in rechargeable batteries in recent decades and show promise for use in memristors, a type of device for future neural computing and on-chip storage. Thermal transport properties, although being a crucial element in limiting the charging/discharging rate, package density, energy efficiency, and safety of batteries as well as the controllability and energy consumption of memristors, are poorly managed or even understood yet. Here, for the first time, we employ quantum calculations including high-order lattice anharmonicity and find that the thermal conductivity kappa of LixTMO2 materials is significantly lower than hitherto believed. More specifically, the theoretical upper limit of kappa of LiCoO2 is 6 W/m-K, 2-6 times lower than the prior theoretical predictions. Delithiation further reduces kappa by 40-70% for LiCoO2 and LiNbO2. Grain boundaries, strain, and porosity are yet additional causes of thermal-conductivity reduction, while Li-ion diffusion and electrical transport are found to have only a minor effect on phonon thermal transport. The results elucidate several long-standing issues regarding the thermal transport in lithium-intercalated materials and provide guidance toward designing high-energy-density batteries and controllable memristors.

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