Zobrazeno 1 - 10
of 1 123
pro vyhledávání: '"Physical information"'
Publikováno v:
The Physical Signature of Computation: A Robust Mapping Account.
Externí odkaz:
https://doi.org/10.1093/9780191872075.003.0006
Publikováno v:
Journal of Materials Research and Technology, Vol 32, Iss , Pp 2767-2779 (2024)
To address the challenges posed by inadequate data and data utilization in multiple scenarios of fatigue loading, a Physics-informed Transfer Learning (PITL) model has been developed to predict the fatigue life of IN718 superalloy. Strain-controlled
Externí odkaz:
https://doaj.org/article/ec9819efaf08439fb0dcd08d28121e4a
Publikováno v:
The Physical Signature of Computation: A Robust Mapping Account.
Externí odkaz:
https://doi.org/10.1093/9780191872075.003.0008
Publikováno v:
The Physical Signature of Computation: A Robust Mapping Account.
Externí odkaz:
https://doi.org/10.1093/9780191872075.003.0009
Publikováno v:
The Physical Signature of Computation: A Robust Mapping Account.
Externí odkaz:
https://doi.org/10.1093/9780191872075.003.0011
Publikováno v:
The Physical Signature of Computation: A Robust Mapping Account.
Externí odkaz:
https://doi.org/10.1093/9780191872075.003.0007
Publikováno v:
The Physical Signature of Computation: A Robust Mapping Account.
Externí odkaz:
https://doi.org/10.1093/9780191872075.003.0005
Publikováno v:
The Physical Signature of Computation: A Robust Mapping Account.
Externí odkaz:
https://doi.org/10.1093/9780191872075.003.0003
Publikováno v:
The Physical Signature of Computation: A Robust Mapping Account.
Externí odkaz:
https://doi.org/10.1093/9780191872075.003.0001
Publikováno v:
气体物理, Vol 9, Iss 4, Pp 39-55 (2024)
The accurate prediction of aerothermal loads is the basis to guide hypersonic vehicle design. Under the background that classical aerothermal prediction methods are more and more difficult to meet the demand of efficient and accurate aerothermal pred
Externí odkaz:
https://doaj.org/article/018261b8be454bb79e640d026b830f13