Mohammad Javad Eslamibidgoli

6PUBLICATIONS
9CO-AUTHORS
Experimental methods in fluid flow, heat and mass transferNatural language processingMolecular and organic electronicsElemental semiconductorsAdversarial machine learning
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Publications (6)

|Mar 14, 2024
Deep learning-enhanced characterization of bubble dynamics in proton exchange membrane water electrolyzers.

André Colliard-Granero, Keusra A Gompou, Christian Rodenbücher

|Oct 23, 2023
UTILE-Gen: Automated Image Analysis in Nanoscience Using Synthetic Dataset Generator and Deep Learning.

André Colliard-Granero, Jenia Jitsev, Michael H Eikerling

|Jun 13, 2023
Low-spin state of Fe in Fe-doped NiOOH electrocatalysts.

Zheng-Da He, Rebekka Tesch, Mohammad J Eslamibidgoli

|May 02, 2022
Convolutional neural networks for high throughput screening of catalyst layer inks for polymer electrolyte fuel cells.

Mohammad J Eslamibidgoli, Fabian P Tipp, Jenia Jitsev

|Nov 30, 2021
Deep learning for the automation of particle analysis in catalyst layers for polymer electrolyte fuel cells.

André Colliard-Granero, Mariah Batool, Jasna Jankovic

|Aug 11, 2017
Surface configuration and wettability of nickel(oxy)hydroxides: a first-principles investigation.

Mohammad Javad Eslamibidgoli, Axel Groß, Michael Eikerling

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