Deep learning-based forward modeling and inversion techniques for computational physics problems. (2023)
- Record Type:
- Book
- Title:
- Deep learning-based forward modeling and inversion techniques for computational physics problems. (2023)
- Main Title:
- Deep learning-based forward modeling and inversion techniques for computational physics problems
- Further Information:
- Note: Yinpeng Wang and Qiang Ren.
- Authors:
- Wang, Yinpeng, 1999-
(Associate professor), Ren, Qiang - Contents:
- 1. Deep Learning Framework and Paradigm in Computational Physics 2. Application of U-net in 3D Steady Heat Conduction Solver 3. Inversion of complex surface heat flux based on ConvLSTM 4. Time-domain electromagnetic inverse scattering based on deep learning 5. Reconstruction of thermophysical parameters based on deep learning 6. Advanced Deep Learning Techniques in Computational Physics
- Edition:
- 1st
- Publisher Details:
- Boca Raton : CRC Press
- Publication Date:
- 2023
- Extent:
- 1 online resource (180 pages), illustrations (black and white)
- Subjects:
- 530.0285
Computational physics
Physics -- Data processing
Deep learning (Machine learning) - Languages:
- English
- ISBNs:
- 9781000896671
9781000896657 - Related ISBNs:
- 9781032502984
- Notes:
- Note: Includes bibliographical references and index.
Note: Description based on CIP data; resource not viewed. - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.783071
- Ingest File:
- 20_022.xml