Amin Paykani

Lecturer in Sustainable Propulsion Systems

Queen Mary University of London

United Kingdom

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Articles (11)

Data-driven prediction of laminar burning velocity for ternary ammonia/hydrogen/methane/air premixed flames

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Year:

2024

Probabilistic machine learning framework for chemical source term integration with Gaussian Processes: H2/air auto-ignition case

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Year:

2024

Effect of radiation on laminar flame speed determination in spherically propagating NH3-air, NH3/CH4-air and NH3/H2-air flames at normal temperature and pressure

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Year:

2023

Hybridizing solid oxide fuel cells with internal combustion engines for power and propulsion systems: A review

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Year:

2023

Applying machine learning techniques to predict laminar burning velocity for ammonia/hydrogen/air mixtures

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Year:

2023

Synthesis gas as a fuel for internal combustion engines in transportation

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Year:

2022

Computational optimization of CH4/H2/CO blends in a spark-ignition engine using quasi-dimensional combustion model

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Year:

2021

Comparative Study on Chemical Kinetics Mechanisms for Methane-Based Fuel Mixtures under Engine-Relevant Conditions

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Year:

2021

Reactivity controlled compression ignition engine: Pathways towards commercial viability

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Year:

2021

Effect of injection strategies on a single-fuel RCCI combustion fueled with isobutanol/isobutanol + DTBP blends

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Year:

2020

Effect of Syngas Composition on the Combustion and Emissions Characteristics of a Syngas/Diesel RCCI Engine

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Year:

2020

Collaborators (4)

George Tsatsaronis

RWTH Aachen University

GERMANY

Umberto Desideri

University of Pisa

ITALY

Agustin Valera-Medina

Associate Professor

Cardiff University

UNITED KINGDOM

Seyed Ehsan Hosseini

Arkansas Tech University

UNITED STATES

Amin Paykani

Research Interests

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Articles (11)

Data-driven prediction of laminar burning velocity for ternary ammonia/hydrogen/methane/air premixed flames

Probabilistic machine learning framework for chemical source term integration with Gaussian Processes: H2/air auto-ignition case

Effect of radiation on laminar flame speed determination in spherically propagating NH3-air, NH3/CH4-air and NH3/H2-air flames at normal temperature and pressure

Hybridizing solid oxide fuel cells with internal combustion engines for power and propulsion systems: A review

Applying machine learning techniques to predict laminar burning velocity for ammonia/hydrogen/air mixtures

Synthesis gas as a fuel for internal combustion engines in transportation

Computational optimization of CH4/H2/CO blends in a spark-ignition engine using quasi-dimensional combustion model

Comparative Study on Chemical Kinetics Mechanisms for Methane-Based Fuel Mixtures under Engine-Relevant Conditions

Reactivity controlled compression ignition engine: Pathways towards commercial viability

Effect of injection strategies on a single-fuel RCCI combustion fueled with isobutanol/isobutanol + DTBP blends

Effect of Syngas Composition on the Combustion and Emissions Characteristics of a Syngas/Diesel RCCI Engine

Collaborators (4)

George Tsatsaronis

Umberto Desideri

Agustin Valera-Medina

Seyed Ehsan Hosseini

How do I reach out?

Meet Kite AI

Amin Paykani

Research Interests

Explore related searches

Contact this professor

Articles (11)

Data-driven prediction of laminar burning velocity for ternary ammonia/hydrogen/methane/air premixed flames

Probabilistic machine learning framework for chemical source term integration with Gaussian Processes: H2/air auto-ignition case

Effect of radiation on laminar flame speed determination in spherically propagating NH3-air, NH3/CH4-air and NH3/H2-air flames at normal temperature and pressure

Hybridizing solid oxide fuel cells with internal combustion engines for power and propulsion systems: A review

Applying machine learning techniques to predict laminar burning velocity for ammonia/hydrogen/air mixtures

Synthesis gas as a fuel for internal combustion engines in transportation

Computational optimization of CH4/H2/CO blends in a spark-ignition engine using quasi-dimensional combustion model

Comparative Study on Chemical Kinetics Mechanisms for Methane-Based Fuel Mixtures under Engine-Relevant Conditions

Reactivity controlled compression ignition engine: Pathways towards commercial viability

Effect of injection strategies on a single-fuel RCCI combustion fueled with isobutanol/isobutanol + DTBP blends

Effect of Syngas Composition on the Combustion and Emissions Characteristics of a Syngas/Diesel RCCI Engine

Collaborators (4)

George Tsatsaronis

Umberto Desideri

Agustin Valera-Medina

Seyed Ehsan Hosseini

How do I reach out?

Meet Kite AI

Effect of injection strategies on a single-fuel RCCI combustion fueled with isobutanol/isobutanol + DTBP blends