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BEGIN:VEVENT
DTSTAMP:20260428T003041Z
DTSTART;VALUE=DATE-TIME:20260209T130000
DTEND;VALUE=DATE-TIME:20260209T140000
SUMMARY:WCPM: Vanessa Ward\, Durham University
TZID:Europe/London
UID:20260209-8ac672c79b9d1a04019b9da202fa0594@warwick.ac.uk
CREATED:20260126T093946Z
DESCRIPTION:Networking Lunch: The Recharge Room\, next to Lecture Theatre
  004\, from 12:30pm - 1pm. Title: Reframing Arrhenius law and the calcul
 ation of activation energies for ion transport in solid electrolytes. Ab
 stract: A broad variety of materials are currently the subject of resear
 ch for energy applications. For example\, in new battery technologies\, 
 a very topical issue and a key societal challenge [1]. Many different el
 ectrolytes have been proposed for use in next-generation solid state bat
 teries\, with the potential to provide greener\, more efficient energy s
 torage. A key stumbling block in proposed electrolytes is often low cond
 uctivity. Therefore\, when considering a new material\, the first step i
 s to understand ion transport. The Arrhenius law is ubiquitous in the ph
 ysical sciences. It describes how an observable property scales with tem
 perature\, T\, as exp(±A/T) for a constant A\, interpreted as an activat
 ion energy. Often transport coefficients are well-described by an Arrhen
 ius fit. However\, there are many exceptions\, making it difficult to ex
 tract an activation energy from macroscopic transport properties. One re
 ason for non-Arrhenius behaviour is correlated motion [2]. For example\,
  the diffusion of individual ions depends upon the diffusion of neighbou
 ring ions. Ions may also become trapped due to local structure and under
 go movement but in a back-and-forth motion that does not contribute to o
 verall transport. Using methods developed for supercooled liquids [3]\, 
 we identify ion ‘jumps’\, particularly those that are productive for tra
 nsport\, and correlated motion. The method enables us to extract the tru
 e underlying activation energy from diffusion data and recover the Arrhe
 nius law. The methods can be demonstrated for low-dimensional-networked 
 Li-rich anti-perovskites\, potential solid electrolytes [4]. References 
 [1] Faraday Insights – Solid-State Batteries: The Technology of the 2030
 s but the Research Challenge of the 2020s\, Issue 5: February 2020 [2] N
 M Vargas-Barbosa and B Roling\, ChemElectroChem 7:367–385 (2020) [3] VK 
 de Souza and DJ Wales\, J. Chem. Phys.\, 129:164507 (2008) [4] AC Coutin
 ho Dutra et al\, Energy Adv. 2:653–666 (2023) Bio: Vanessa is a research
 er\, working between Physics\, Chemistry and Materials Science. She expl
 ores transport properties of materials using computer simulations. She i
 s passionate about sharing her love for science with children and the ge
 neral public. Her teaching\, in both science and music\, follows an incl
 usive and student-centred approach\, celebrating diversity.
LOCATION:Lecture Theatre 0.04 IMC
CATEGORIES:WCPM
LAST-MODIFIED:20260126T093946Z
ORGANIZER;CN=Jin Kang:
END:VEVENT
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