Nivedita Kulkarni

About Nivedita Kulkarni

Nivedita Kulkarni, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at University College London, specializes in the field of Image-based modelling, Li-S batteries, Fuel cell, material characterisation, X-ray CT.

His recent articles reflect a diverse array of research interests and contributions to the field:

An Image Based 3D Modelling Framework for Li-S Batteries

The effect of non-uniform compression on the performance of polymer electrolyte fuel cells

2021 roadmap on lithium sulfur batteries

Advancements in Polymer Electrolyte Fuel Cell Architecture and Performance using Electrochemical Modelling and Advanced Characterisations

Characterization of water management in metal foam flow-field based polymer electrolyte fuel cells using in-operando neutron radiography

Nivedita Kulkarni Information

University

Position

Research fellow LiSTAR Faraday Institution

Citations(all)

242

Citations(since 2020)

242

Cited By

44

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Nivedita Kulkarni Skills & Research Interests

Image-based modelling

Li-S batteries

Fuel cell

material characterisation

X-ray CT

Top articles of Nivedita Kulkarni

An Image Based 3D Modelling Framework for Li-S Batteries

2022/10/31

Xiaoyu Dai
Xiaoyu Dai

H-Index: 1

Nivedita Kulkarni
Nivedita Kulkarni

H-Index: 4

The effect of non-uniform compression on the performance of polymer electrolyte fuel cells

Journal of Power Sources

2022/2/15

Nivedita Kulkarni
Nivedita Kulkarni

H-Index: 4

Advancements in Polymer Electrolyte Fuel Cell Architecture and Performance using Electrochemical Modelling and Advanced Characterisations

2020/9/28

Characterization of water management in metal foam flow-field based polymer electrolyte fuel cells using in-operando neutron radiography

International journal of hydrogen energy

2020/1/13

See List of Professors in Nivedita Kulkarni University(University College London)

Co-Authors

academic-engine