Journal of Building Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 110722 - 110722
Published: Sept. 1, 2024
Language: Английский
Journal of Building Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 110722 - 110722
Published: Sept. 1, 2024
Language: Английский
International Journal of Heat and Mass Transfer, Journal Year: 2025, Volume and Issue: 241, P. 126680 - 126680
Published: Jan. 10, 2025
Language: Английский
Citations
2Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104157 - 104157
Published: Jan. 1, 2025
Language: Английский
Citations
1Engineering Structures, Journal Year: 2025, Volume and Issue: 332, P. 120018 - 120018
Published: March 13, 2025
Language: Английский
Citations
0International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 116, P. 577 - 590
Published: March 14, 2025
Language: Английский
Citations
0Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 126390 - 126390
Published: April 1, 2025
Language: Английский
Citations
0Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104759 - 104759
Published: April 1, 2025
Language: Английский
Citations
0International Journal of Heat and Mass Transfer, Journal Year: 2025, Volume and Issue: unknown, P. 127047 - 127047
Published: April 1, 2025
Language: Английский
Citations
0Polymers, Journal Year: 2025, Volume and Issue: 17(8), P. 1108 - 1108
Published: April 19, 2025
The modeling and simulation of polymer systems present unique challenges due to their intrinsic complexity multi-scale behavior. Traditional computational methods, while effective, often struggle balance accuracy with efficiency, especially when bridging the atomistic macroscopic scales. Recently, physics-informed neural networks (PINNs) have emerged as a promising tool that integrates data-driven learning governing physical laws system. This review discusses development application PINNs in context science. It summarizes recent advances, outlines key methodologies, analyzes benefits limitations using for property prediction, structural design, process optimization. Finally, it identifies current future research directions further leverage advanced modeling.
Language: Английский
Citations
0Chemical Engineering Science, Journal Year: 2024, Volume and Issue: unknown, P. 120944 - 120944
Published: Nov. 1, 2024
Language: Английский
Citations
1Journal of Building Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 110722 - 110722
Published: Sept. 1, 2024
Language: Английский
Citations
0