BLASTNet: A call for community-involved big data in combustion machine learning
Many state-of-the-art machine learning (ML) fields rely on large datasets and massive deep learning models (with O(109) trainable parameters) to predict target variables accurately without overfitting. Within combustion, a wealth of data exists in the form of high-fidelity simulation data and detail...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-12-01
|
| Series: | Applications in Energy and Combustion Science |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666352X22000309 |