Jan 24, 2023 · A new hybrid predictive Reduced Order Model (ROM) is proposed to solve reacting flow problems. This algorithm is based on a dimensionality reduction.

A new hybrid predictive Reduced Order Model (ROM) is proposed to solve reacting flow problems based on a dimensionality reduction using Proper Orthogonal ...

In this work, a new hybrid predictive Reduced Order Model (ROM) is proposed to solve reacting flow problems. This algorithm is based on a dimensionality ...

Abstract: In this work, a new hybrid predictive Reduced Order Model (ROM) is proposedto solve reacting flow problems. This algorithm is based on a ...

Abstract: In this work, a new hybrid predictive Reduced Order Model (ROM) is proposed to solve reacting flow problems. This algorithm is based on a ...

In this work, a predictive reduced order model based on a combination of proper orthogonal decomposition and deep learning architectures is analyzed to ...

In this work, a predictive reduced order model based on a combination of proper orthogonal decomposition and deep learning architectures is analyzed.

A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures. Expert Systems with Applications ...

[+] Corrochano, A., Freitas, R.S.M., Parente, A., Le Clainche, S., A predictive physics-aware hybrid reduced order model for reacting flows, arXiv:2301.09860, ...

ModelFLOWs-app is an open-source Software for data post-processing, patterns identification and development of reduced order models using modal decomposition ...