Bridging from First Principles to Experimental Timescales: A Framework for Multi-Scale Quadrupolar NMR Simulations
Abstract
Solid-state Nuclear Magnetic Resonance (NMR) is a powerful experimental tool for understanding ion transport in battery materials. Yet, dynamical averaging often leads to mixing of structural and dynamic information and prohibits spectral interpretation. Computational approaches historically fail to match the time-and length scales needed to compare with experiment. We present a multi-scale framework simulating quadrupolar NMR spectra at experimental timescales with ab initio accuracy. By combining machine-learned electric field gradients with molecular dynamics and kinetic Monte Carlo, we overcome intrinsic timescale limitations, enabling simulations with thousands of atoms for a time scale of milliseconds. Using the battery material lithium titanate spinel (Li4Ti5O12; LTO) as a model system, we simulate spectra across dynamical regimes from static to fast diffusion, showing good agreement with experimental data. The framework captures realistic ion dynamics and structural disorder. Overall, this approach can aid in detailed interpretation of experimental spectra, reducing reliance on heuristic assignments.
Authors 6
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Fritz Haber Institute of the Max Planck Society
Affiliation as printed
Fritz-Haber-Institute of the Max Planck Society
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Forschungszentrum Jülich · RWTH Aachen University
Affiliation as printed
Forschungszentrum Jülich GmbH
Institute of Energy Technologies (IET-1
Institute of Technical and Macromolecular Chemistry, RWTH Aachen University
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Forschungszentrum Jülich · RWTH Aachen University
Affiliation as printed
Forschungszentrum Jülich GmbH
Institute of Energy Technologies (IET-1
Institute of Technical and Macromolecular Chemistry, RWTH Aachen University
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Fritz Haber Institute of the Max Planck Society
Affiliation as printed
Fritz-Haber-Institute of the Max Planck Society
-
Forschungszentrum Jülich · Fritz Haber Institute of the Max Planck Society
Affiliation as printed
Forschungszentrum Jülich GmbH
Fritz-Haber-Institute of the Max Planck Society
Institute of Energy Technologies (IET-1
-
Forschungszentrum Jülich · Fritz Haber Institute of the Max Planck Society
Affiliation as printed
Forschungszentrum Jülich GmbH
Fritz-Haber-Institute of the Max Planck Society
Institute of Energy Technologies (IET-1
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