Elham Rezasoltani

Elham Rezasoltani

Auto-generated profile, based on publicly available information

Elham Rezasoltani

Department of Physics, Imperial College London, London SW7 2BX, United Kingdom

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
15 March 2019 in Energy & Environmental Science
Verified
Journal Article
Open access
PDF file
DMDavide Moia
Davide Moia
AGAlexander Giovannitti
Alexander Giovannitti
ASAnna A. Szumska
Anna A. Szumska
IMIuliana P. Maria
Iuliana P. Maria
ERElham Rezasoltani
Elham Rezasoltani
JNJenny Nelson
Jenny Nelson
We report the development of redox-active conjugated polymers that have potential applications in electrochemical energy storage. Side chain engineering enables processing of the polymer electrodes from solution, stability in aqueous electrolytes and efficient transport of ionic and electronic charge carriers. We synthesized a 3,3′-dialkoxybithiophene homo-polymer (p-type polymer) with glycol side chains and prepared naphthalene-1,4,5,8-tetracarboxylic-diimide-dialkoxybithiophene (NDI-gT2) copolymers (n-type polymer) with either a glycol or zwitterionic side chain on the NDI unit. For the latter, we developed a post-functionalization synthesis to attach the polar zwitterion side chains to the polymer backbone to avoid challenges of purifying polar intermediates. We demonstrate fast and reversible charging of solution processed electrodes for both the p- and n-type polymers in aqueous electrolytes, without using additives or porous scaffolds and for films up to micrometers thick. We apply spectroelectrochemistry as an in operando technique to probe the state of charge of the electrodes. This reveals that thin films of the p-type polymer and zwitterion n-type polymer can be charged reversibly with up to two electronic charges per repeat unit (bipolaron formation). We combine thin films of these polymers in a two-electrode cell and demonstrate output voltages of up to 1.4 V with high redox-stability. Our findings demonstrate the potential of functionalizing conjugated polymers with appropriate polar side chains to improve the accessible capacity, and to improve reversibility and rate capabilities of polymer electrodes in aqueous electrolytes.

2 September 2020 in Chemistry of Materials
Verified
Journal Article
Closed access
ERElham Rezasoltani
Elham Rezasoltani
AGAnne A. Y. Guilbert
Anne A. Y. Guilbert
JYJun Yan
Jun Yan
XRXabier Rodríguez-Martínez
Xabier Rodríguez-Martínez
MAMohammed Azzouzi
Mohammed Azzouzi
JNJenny Nelson
Jenny Nelson

24 August 2021 in Chemistry of Materials
Verified
Journal Article
Closed access
NKNiveen Khashab
Niveen Khashab
SSSara E. Skrabalak
Sara E. Skrabalak
LIHI ADLER-ABRAMOVICHLIHI ADLER-ABRAMOVICH
LIHI ADLER-ABRAMOVICH
SBStacey F. Bent
Stacey F. Bent
FMFadwa El Mellouhi
Fadwa El Mellouhi
SSSabrina Sicolo
Sabrina Sicolo

18 March 2022 in arXiv
Verified
Preprint
Open access
PDF file
JYJun Yan
Jun Yan
XRXabier Rodriguez-Martinez
Xabier Rodriguez-Martinez
DPDrew Pearce
Drew Pearce
HDHana Douglas
Hana Douglas
DBDanai Bili
Danai Bili
JNJenny Nelson
Jenny Nelson
Non-fullerene acceptors (NFAs) are excellent light harvesters, yet the origin of such high optical extinction is not well understood. In this work, we investigate the absorption strength of NFAs by building a database of time-dependent density functional theory (TDDFT) calculations of ~500 pi-conjugated molecules. The calculations are first validated by comparison with experimental measurements on liquid and solid state using common fullerene and non-fullerene acceptors. We find that the molar extinction coefficient ({\epsilon}_(d,max)) shows reasonable agreement between calculation in vacuum and experiment for molecules in solution, highlighting the effectiveness of TDDFT for predicting optical properties of organic pi-conjugated molecules. We then perform a statistical analysis based on molecular descriptors to identify which features are important in defining the absorption strength. This allows us to identify structural features that are correlated with high absorption strength in NFAs and could be used to guide molecular design: highly absorbing NFAs should possess a planar, linear, and fully conjugated molecular backbone with highly polarisable heteroatoms. We then exploit a random decision forest to draw predictions for {\epsilon}_(d,max) using a computational framework based on extended tight-binding Hamiltonians, which shows reasonable predicting accuracy with lower computational cost than TDDFT. This work provides a general understanding of the relationship between molecular structure and absorption strength in pi-conjugated organic molecules, including NFAs, while introducing predictive machine-learning models of low computational cost.