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10:20 - 12:20
Parallel sessions 1
 
10:20 - 12:20
Combustion AI and Digital Twins (I),
Room: Loyola
Room: {session_room}
Chair/s:
Konduri Aditya
10:20 - 10:40
Oral presentation-01
Physics-informed machine learning for predicting flame attachment in hydrogen-air flames stabilized on a coaxial injector
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Salvatore Iavarone
{x_abstract}
10:40 - 11:00
Oral presentation-02
Predicting Hydrogen Leak Characteristics and Hazardous Behaviour Through Computational Fluid Dynamics and Machine Learning
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Giovanni Tretola
{x_abstract}
11:00 - 11:20
Oral presentation-03
Representation Learning as a Clustering Paradigm for Combustion: A Progress Variable Perspective
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Luisa Castellanos
{x_abstract}
11:20 - 11:40
Oral presentation-04
Physics-based constrained reduced-order modelling of reacting flows
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Muhammad Azam Hafeez
{x_abstract}
11:40 - 12:00
Oral presentation-05
Imposing Atom Conservation on Physics-Informed Neural Networks for Chemical Reactor Surrogates
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Felix Döppel
{x_abstract}
12:00 - 12:20
Oral presentation-06
Conditional Generation of Plasma Flames Using Deep Generative Models
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Farideh Hoseinian Maleki
{x_abstract}