Jakub Mularski

Dr. Jakub Mularski

Energy Conversion Engineering, Wrocław University of Science and Technology, Wrocław, Dolnośląskie, Poland
orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 January 2023 in Fuel
Verified
Journal Article
Closed access
Jakub MularskiJakub Mularski
Jakub Mularski
JLJun Li
Jun Li

20 October 2022 in Energy Reports
Verified
Journal Article
Open access
JČJakub Čespiva
Jakub Čespiva
LNLukasz Niedzwiecki
Lukasz Niedzwiecki
MWMateusz Wnukowski
Mateusz Wnukowski
KKKrystian Krochmalny
Krystian Krochmalny
Jakub MularskiJakub Mularski
Jakub Mularski
HPHalina Pawlak-Kruczek
Halina Pawlak-Kruczek

1 April 2022 in Energy
Verified
Journal Article
Open access
PZPaweł Ziółkowski
Paweł Ziółkowski
JBJanusz Badur
Janusz Badur
HKHalina Pawlak- Kruczek
Halina Pawlak- Kruczek
KSKamil Stasiak
Kamil Stasiak
MAMilad Amiri
Milad Amiri
DMDariusz Mikielewicz
Dariusz Mikielewicz

16 June 2023 in Energy
Verified
Journal Article
Open access
HPHalina Pawlak-Kruczek
Halina Pawlak-Kruczek
Jakub MularskiJakub Mularski
Jakub Mularski
MOMichał Ostrycharczyk
Michał Ostrycharczyk
MCMichał Czerep
Michał Czerep
MBMarcin Baranowski
Marcin Baranowski
PHPatryk Hulisz
Patryk Hulisz

6 January 2024 in Catalysts
Verified
Journal Article
Open access
PDF file
MAMuhammad Yousaf Arshad
Muhammad Yousaf Arshad
AAAnam Suhail Ahmad
Anam Suhail Ahmad
Jakub MularskiJakub Mularski
Jakub Mularski
AMAleksandra Modzelewska
Aleksandra Modzelewska
MJMateusz Jackowski
Mateusz Jackowski
Lukasz NiedzwieckiLukasz Niedzwiecki
Lukasz Niedzwiecki
The advancement of plasma technology is intricately linked with the utilization of computational fluid dynamics (CFD) models, which play a pivotal role in the design and optimization of industrial-scale plasma reactors. This comprehensive compilation encapsulates the evolving landscape of plasma reactor design, encompassing fluid dynamics, chemical kinetics, heat transfer, and radiation energy. By employing diverse tools such as FLUENT, Python, MATLAB, and Abaqus, CFD techniques unravel the complexities of turbulence, multiphase flow, and species transport. The spectrum of plasma behavior equations, including ion and electron densities, electric fields, and recombination reactions, is presented in a holistic manner. The modeling of non-thermal plasma reactors, underpinned by precise mathematical formulations and computational strategies, is further empowered by the integration of machine learning algorithms for predictive modeling and optimization. From biomass gasification to intricate chemical reactions, this work underscores the versatile potential of plasma hybrid modeling in reshaping various industrial processes. Within the sphere of plasma catalysis, modeling and simulation methodologies have paved the way for transformative progress. Encompassing reactor configurations, kinetic pathways, hydrogen production, waste valorization, and beyond, this compilation offers a panoramic view of the multifaceted dimensions of plasma catalysis. Microkinetic modeling and catalyst design emerge as focal points for optimizing CO2 conversion, while the intricate interplay between plasma and catalysts illuminates insights into ammonia synthesis, methane reforming, and hydrocarbon conversion. Leveraging neural networks and advanced modeling techniques enables predictive prowess in the optimization of plasma-catalytic processes. The integration of plasma and catalysts for diverse applications, from waste valorization to syngas production and direct CO2/CH4 conversion, exemplifies the wide-reaching potential of plasma catalysis in sustainable practices. Ultimately, this anthology underscores the transformative influence of modeling and simulation in shaping the forefront of plasma-catalytic processes, fostering innovation and sustainable applications.