Muhammad Umer (0000-0002-0685-6171)

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Biography

I received my M.Sc. and M.Phil. degrees from Quaid-i-Azam University, Islamabad, Pakistan, in 2013 and 2015, respectively. I worked as a Lecturer (2015–2018) at the Department of Chemistry, University of Lahore, Pakistan. Later, for my Ph.D. research, I joined the Center for Superfunctional Materials at the Ulsan National Institute of Science and Technology, Republic of Korea, where I worked in Prof. Kwang Soo Kim's group and obtained my Ph.D. degree in 2023.

My research framework integrates experimental and theoretical work in the fields of electrocatalysis, fuel cells, batteries, and the fundamental understanding of related electrochemical processes. Currently, I am studying various metal- and metal-hydride-based electrocatalytic systems as part of the HERMES project, a collaborative effort involving six other partners across Europe under the H2020-FET Proactive HERMES program.

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University of Limerick: Limerick, IE

2024-04-22 to present | Postdoctoral Researcher (School of Chemical Sciences and Chemical Engineering)

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Muhammad Umer

https://orcid.org/0000-0002-0685-6171

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Employment (3)

University of Limerick: Limerick, IE

University of Limerick: Limerick, IE

University of Lahore: Lahore, PK

Education and qualifications (4)

Ulsan National Institute of Science and Technology: Ulsan, Rep of Korea, KR

Quaid-i-Azam University: Islamabad, PK

Lahore University of Management Sciences: Lahore, PK

Quaid-i-Azam University: Islamabad, PK

Funding (4)

AI guided material design for hydrogen evolution and oxidation reactions

Conference Travel Grant

Development of Functional Electrocatalysts Using Sparse Gaussian Process Regression (SGPR) Machine Learning Algorithm and High-Throughput Computing

Development of super-assembled, highly active and selective catalysts for CO2 reduction by using Sparse Gaussian Process Regression (SGPR) ML approach

Works (21)

Diatom derived hollow 3D Frame as a synergetic support for millerite nanoparticles: A unique hydrogen evolution electrocatalyst and its mechanistic insights

Palladium Nanocubes with {100} Facets for Hydrogen Evolution Reaction: Synthesis, Experiment and Theory

Materials Containing Single‐, Di‐, Tri‐, and Multi‐Metal Atoms Bonded to C, N, S, P, B, and O Species as Advanced Catalysts for Energy, Sensor, and Biomedical Applications

Crystal graph convolution neural networks for fast and accurate prediction of adsorption ability of Nb2CTx towards Pb(ii) and Cd(ii) ions

Atomic layers of ruthenium oxide coupled with Mo2TiC2Tx MXene for exceptionally high catalytic activity toward water oxidation

Recent progress on MOF/MXene nanoarchitectures: A new era in coordination chemistry for energy storage and conversion

An Amiable Design of Cobalt Single Atoms as the Active Sites for Oxygen Evolution Reaction in Desalinated Seawater

Nanozyme Based on Porphyrinic Metal–Organic Framework for Electrocatalytic CO2 Reduction

Doped MXene Combinations as Highly Efficient Bifunctional and Multifunctional Catalysts for Water Splitting and Metal-Air Batteries

Machine learning assisted high-throughput screening of transition metal single atom based superb hydrogen evolution electrocatalysts

Transition metal single atom embedded GaN monolayer surface for efficient and selective CO2 electroreduction

Nanozyme Based on Porphyrinic Metal–Organic Framework for Electrocatalytic CO2 Reduction

Fast Atomic Structure Optimization with On-the-Fly Sparse Gaussian Process Potentials

Unveiling the Role of Charge Transfer in Enhanced Electrochemical Nitrogen Fixation at Single-Atom Catalysts on BX Sheets (X = As, P, Sb)

First principles and machine learning based superior catalytic activities and selectivities for N2 reduction in MBenes, defective 2D materials and 2D π-conjugated polymer-supported single atom catalysts

Surface enrichment of iridium on IrCo alloys for boosting hydrogen production

Tuning metal single atoms embedded in NxCy moieties toward high-performance electrocatalysis

Late Transition Metal Doped MXenes Showing Superb Bifunctional Electrocatalytic Activities for Water Splitting via Distinctive Mechanistic Pathways

Machine learning-based high throughput screening for nitrogen fixation on boron-doped single atom catalysts

DFT modeling of thermoelectric and optical features of novel MgxSn1-xSe (x = 6%, 12% & 18%)

Specific thermoelectric features of novel CaPd3B4O12 (B = Ti, V) perovskites following DFT calculations

Peer review (1 review for 1 publication/grant)