Mr Cihat Ustun

Cihat Ustun

Postdoctoral Research Assistant in Data-driven Models for Reactive Flows

School of Engineering and Materials Science
Queen Mary University of London
Member of Dr Amin Paykani's Research Group

Publications

solid heart iconPublications of specific relevance to the Centre for Intelligent Transport

2024

bullet iconPerspectives on NO X Emissions and Impacts from Ammonia Combustion Processes
Mashruk S, Shi H, Mazzotta L, Ustun CE, Aravind B, Meloni R, Alnasif A, Boulet E, Jankowski R, Yu C, Alnajideen M, Paykani A, Maas U, Slefarski R, Borello D and Valera-Medina A
Energy & Fuels, American Chemical Society (Acs) vol. 38 (20), 19253-19292.  
02-10-2024
bullet iconProbabilistic machine learning framework for chemical source term integration with Gaussian Processes: H 2 /air auto-ignition case
Üstün CE and Paykani A
International Journal of Hydrogen Energy, Elsevier vol. 81, 47-55.  
01-09-2024
bullet iconData-driven prediction of laminar burning velocity for ternary ammonia/hydrogen/methane/air premixed flames
Üstün CE, Eckart S, Valera-Medina A and Paykani A
Fuel, Elsevier vol. 368 
01-07-2024
bullet iconA thermodynamic computational model analysis of a newly designed Tri-Rotor (T-R) volume air compressor
Tutar M, Üstün CE and Mutlu H
Thermal Science and Engineering Progress, Elsevier vol. 53, 102708-102708.  
21-06-2024

2023

bullet iconApplying machine learning techniques to predict laminar burning velocity for ammonia/hydrogen/air mixtures
Üstün CE, Herfatmanesh MR, Valera-Medina A and Paykani A
Energy and AI, Elsevier vol. 13 
10-05-2023

2021

bullet iconOptimized CFD modelling and validation of radiation section of an industrial top-fired steam methane reforming furnace
Tutar M, Üstün CE, Campillo-Robles JM, Fuente R, Cibrián S, Arzua I, Fernández A and López GA
Computers and Chemical Engineering, Elsevier vol. 155, 107504-107504.  
25-08-2021