Jeff Gostick

Jeff Gostick

University of Waterloo

H-index: 41

North America-Canada

About Jeff Gostick

Jeff Gostick, With an exceptional h-index of 41 and a recent h-index of 34 (since 2020), a distinguished researcher at University of Waterloo, specializes in the field of Porous media, multiphase flow, pore network modeling, electrochemical energy conversion.

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

Rapid prediction of particle-scale state-of-lithiation in Li-ion battery microstructures using convolutional neural networks

BEaTmap: Simplified Rigorous BET Analysis of Isothermal Adsorption Data

Unleashing the potential of scalable, high-water vapor permeance graphene oxide membranes using electrospun supports

Enhancing pore network extraction performance via seed-based pore region growing segmentation

Predicting pemfc performance from a volumetric image of catalyst layer structure using pore network modeling

Sintered Electrospun Fibrous Electrodes via Compression and Laser Perforation for Redox Flow Battery

Use of Mixed Methanesulfonic Acid/Sulfuric Acid as Positive Supporting Electrolyte and the Study of Ion Crossover in Zn-Ce Redox Flow Battery

Predicting shear-thinning fluid flows in porous media using pore network modeling: Simulations and experimental validation

Jeff Gostick Information

University

Position

Associate Professor Chemical Engineering

Citations(all)

8839

Citations(since 2020)

5301

Cited By

5549

hIndex(all)

41

hIndex(since 2020)

34

i10Index(all)

83

i10Index(since 2020)

75

Email

University Profile Page

Google Scholar

Jeff Gostick Skills & Research Interests

Porous media

multiphase flow

pore network modeling

electrochemical energy conversion

Top articles of Jeff Gostick

Rapid prediction of particle-scale state-of-lithiation in Li-ion battery microstructures using convolutional neural networks

Applied Energy

2024/4/15

Mohammad Amin Sadeghi
Mohammad Amin Sadeghi

H-Index: 9

Jeff Gostick
Jeff Gostick

H-Index: 28

BEaTmap: Simplified Rigorous BET Analysis of Isothermal Adsorption Data

Journal of Open Research Software

2024/3/13

Unleashing the potential of scalable, high-water vapor permeance graphene oxide membranes using electrospun supports

Journal of Membrane Science

2024/1/15

Enhancing pore network extraction performance via seed-based pore region growing segmentation

Advances in Water Resources

2024/1/1

Predicting pemfc performance from a volumetric image of catalyst layer structure using pore network modeling

Applied Energy

2024/1/1

Sintered Electrospun Fibrous Electrodes via Compression and Laser Perforation for Redox Flow Battery

Electrochemical Society Meeting Abstracts 244

2023/12/22

Use of Mixed Methanesulfonic Acid/Sulfuric Acid as Positive Supporting Electrolyte and the Study of Ion Crossover in Zn-Ce Redox Flow Battery

Electrochemical Society Meeting Abstracts 244

2023/12/22

Predicting shear-thinning fluid flows in porous media using pore network modeling: Simulations and experimental validation

Transport in Porous Media

2023/9

Mehrez Agnaou
Mehrez Agnaou

H-Index: 6

Jeff Gostick
Jeff Gostick

H-Index: 28

Structure and conductivity of ionomer in PEM fuel cell catalyst layers: a model-based analysis

Scientific Reports

2023/8/29

Starting from the Bottom: Coupling a Genetic Algorithm and a Pore Network Model for Porous Electrode Design

Electrochemical Society Meeting Abstracts 243

2023/8/28

Utilizing Pore Network Modeling for Performance Analysis of Multi-Layer Electrodes in Vanadium Redox Flow Batteries

Journal of The Electrochemical Society

2023/7/19

Improvement of vanadium redox flow battery performance obtained by compression and laser perforation of electrospun electrodes

Materials Today Energy

2023/7/1

Computational analysis of citric acid pertraction in emulsion liquid membranes

The Canadian Journal of Chemical Engineering

2023/6

Saeed Ghanbari
Saeed Ghanbari

H-Index: 3

Jeff Gostick
Jeff Gostick

H-Index: 28

Electrospun Fibrous Mats

2023/4/14

Jeff Gostick
Jeff Gostick

H-Index: 28

Matthew Kok
Matthew Kok

H-Index: 11

Insights on designing non-PGM catalyst layers at low humidity

Journal of Power Sources

2023/4/1

Bottom-up design of porous electrodes by combining a genetic algorithm and a pore network model

Chemical Engineering Journal

2023/1/1

Performance Analysis and Monitoring of Vanadium Redox Flow Battery via Polarization curves

Applied Sciences

2022/11/17

Jeff Gostick
Jeff Gostick

H-Index: 28

Investigating the Role of the Triple-Phase Boundary in Zinc-Air Cathodes Using Pore Network Modeling

Journal of The Electrochemical Society

2022/10/31

Continuous CO2 electrolysis using a CO2 exsolution-induced flow cell

Nature Energy

2022/10

Extending pore network models to include electrical double layer effects in micropores for studying capacitive deionization

Desalination

2022/8/1

See List of Professors in Jeff Gostick University(University of Waterloo)

Co-Authors

academic-engine