Author
Listed:
- Andrey D. Poletayev
(SLAC National Laboratory
Stanford University
University of Oxford)
- Matthias C. Hoffmann
(SLAC National Accelerator Laboratory)
- James A. Dawson
(Newcastle University
Newcastle University)
- Samuel W. Teitelbaum
(SLAC National Laboratory
Stanford PULSE Institute, SLAC National Accelerator Laboratory
Arizona State University)
- Mariano Trigo
(SLAC National Laboratory
Stanford PULSE Institute, SLAC National Accelerator Laboratory)
- M. Saiful Islam
(University of Oxford
University of Bath)
- Aaron M. Lindenberg
(SLAC National Laboratory
Stanford University
Stanford PULSE Institute, SLAC National Accelerator Laboratory)
Abstract
Predicting practical rates of transport in condensed phases enables the rational design of materials, devices and processes. This is especially critical to developing low-carbon energy technologies such as rechargeable batteries1–3. For ionic conduction, the collective mechanisms4,5, variation of conductivity with timescales6–8 and confinement9,10, and ambiguity in the phononic origin of translation11,12, call for a direct probe of the fundamental steps of ionic diffusion: ion hops. However, such hops are rare-event large-amplitude translations, and are challenging to excite and detect. Here we use single-cycle terahertz pumps to impulsively trigger ionic hopping in battery solid electrolytes. This is visualized by an induced transient birefringence, enabling direct probing of anisotropy in ionic hopping on the picosecond timescale. The relaxation of the transient signal measures the decay of orientational memory, and the production of entropy in diffusion. We extend experimental results using in silico transient birefringence to identify vibrational attempt frequencies for ion hopping. Using nonlinear optical methods, we probe ion transport at its fastest limit, distinguish correlated conduction mechanisms from a true random walk at the atomic scale, and demonstrate the connection between activated transport and the thermodynamics of information.
Suggested Citation
Andrey D. Poletayev & Matthias C. Hoffmann & James A. Dawson & Samuel W. Teitelbaum & Mariano Trigo & M. Saiful Islam & Aaron M. Lindenberg, 2024.
"The persistence of memory in ionic conduction probed by nonlinear optics,"
Nature, Nature, vol. 625(7996), pages 691-696, January.
Handle:
RePEc:nat:nature:v:625:y:2024:i:7996:d:10.1038_s41586-023-06827-6
DOI: 10.1038/s41586-023-06827-6
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