Decoding the Superior Lithium‐Ion Storage Capabilities of Oligoaniline‐Derived Anodes

ABSTRACT The development of high‐performance anodes is critical for advancing lithium‐ion battery (LIB) technology, and oligoaniline‐based materials, such as tri‐aniline (T3) and tetra‐aniline (T4), have emerged as promising candidates due to their unique electrochemical properties. These materials offer multiple redox‐active sites, enabling efficient charge storage and reversible lithium‐ion intercalation, while their intrinsic conductivity facilitates rapid electron transport. T3 demonstrates better cycling stability and delivers the outstanding specific capacity of 964.14 mAh g −1 at 100 mA g −1 and 721.09 mAh g −1 at a high current density of 1 A g −1 , alongside a higher specific capacity compared to T4. The galvanostatic intermittent titration technique (GITT) reveals enhanced diffusion coefficients of 10 −11 cm 2 s −1 for T3 and 10 −12 cm 2 s −1 for T4. In situ electrochemical impedance spectroscopy (EIS) and distribution of relaxation times (DRT) analysis indicate a thinner solid‐electrolyte interphase (SEI) layer, reduced charge transfer resistance, and a lower Li + activation energy in T3, attributed to its higher electrical conductivity. These features collectively result in better transport properties, positioning T3 as a competitive anode material. To further support the experimental findings, density functional theory (DFT) calculations were conducted on both materials. This paper provides a comprehensive evaluation of T3 and T4, highlighting their potential to address key challenges in high‐performance LIBs.

Authors

Institutions

Publication Details

Journal
Journal of Applied Polymer Science
Published
2025-08-11
DOI
https://doi.org/10.1002/app.57748
Primary Topic
Advancements in Battery Materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Decoding the Superior Lithium‐Ion Storage Capabilities of Oligoaniline‐Derived Anodes

Xiaoning Qi, Mayank Joshi, Sai Phani Kumar Vangala, Ravi Arukula et al.
Journal of Applied Polymer Science
Advancements in Battery Materials
article

Decoding the Superior Lithium‐Ion Storage Capabilities of Oligoaniline‐Derived Anodes

Xiaoning Qi, Mayank Joshi, Sai Phani Kumar Vangala, Ravi Arukula, Rohit Ranganathan Gaddam, Sharad Dnyanu Pinjari, Purandas Mudavath, Venkateswar Rao Boddu
article en

Abstract

ABSTRACT The development of high‐performance anodes is critical for advancing lithium‐ion battery (LIB) technology, and oligoaniline‐based materials, such as tri‐aniline (T3) and tetra‐aniline (T4), have emerged as promising candidates due to their unique electrochemical properties. These materials offer multiple redox‐active sites, enabling efficient charge storage and reversible lithium‐ion intercalation, while their intrinsic conductivity facilitates rapid electron transport. T3 demonstrates better cycling stability and delivers the outstanding specific capacity of 964.14 mAh g −1 at 100 mA g −1 and 721.09 mAh g −1 at a high current density of 1 A g −1 , alongside a higher specific capacity compared to T4. The galvanostatic intermittent titration technique (GITT) reveals enhanced diffusion coefficients of 10 −11 cm 2 s −1 for T3 and 10 −12 cm 2 s −1 for T4. In situ electrochemical impedance spectroscopy (EIS) and distribution of relaxation times (DRT) analysis indicate a thinner solid‐electrolyte interphase (SEI) layer, reduced charge transfer resistance, and a lower Li + activation energy in T3, attributed to its higher electrical conductivity. These features collectively result in better transport properties, positioning T3 as a competitive anode material. To further support the experimental findings, density functional theory (DFT) calculations were conducted on both materials. This paper provides a comprehensive evaluation of T3 and T4, highlighting their potential to address key challenges in high‐performance LIBs.

Journal of Applied Polymer ScienceVol. 142(45)
Indian Institute of Science Education and Research, Bhopal (IN), Advanced Numerical Research and Analysis Group (IN), North Dakota State University (US)
Arthritis National Research Foundation
Affordable and clean energy
Openalex Percentile: Top 81%
Advancements in Battery Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.