FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387334178> ?p ?o ?g. }

• W4387334178 abstract "In recent years, the advancement of deep learning has led to the utilization of related technologies to enhance the efficiency and accuracy of scientific computing. Physics-Informed Neural Networks (PINNs) are a type of deep learning method applied to scientific computing, widely used to solve various partial differential equations (PDEs), demonstrating tremendous potential. This study improved upon original PINNs and applied them to forward and inverse problems in the nonlinear science field. In addition to incorporating the constraints of PDEs, the improved PINNs added constraints on gradient information, which further enhanced the physical constraints. Moreover, an adaptive learning method was used to update the weight coefficients of the loss function and dynamically adjust the weight proportion of each constraint term. In the experiment, the improved PINNs were used to numerically simulate localized waves and two-dimensional lid-driven cavity flow described by partial differential equations. Meanwhile, we critically evaluate the accuracy of the prediction results. Furthermore, the improved PINNs were utilized to solve the inverse problems of nonlinear PDEs, where the results showed that even with noisy data, the unknown parameters could be discovered satisfactorily. The study results indicated that the improved PINNs were significantly superior to original PINNs, with shorter training time, increased accuracy in prediction results, and greater potential for application." @default.
• W4387334178 created "2023-10-05" @default.
• W4387334178 creator A5018000381 @default.
• W4387334178 creator A5029628331 @default.
• W4387334178 creator A5041870748 @default.
• W4387334178 creator A5074398666 @default.
• W4387334178 creator A5087009225 @default.
• W4387334178 date "2023-10-01" @default.
• W4387334178 modified "2023-10-06" @default.
• W4387334178 title "An efficient framework for solving forward and inverse problems of nonlinear partial differential equations via enhanced physics-informed neural network based on adaptive learning" @default.
• W4387334178 cites W1987034518 @default.
• W4387334178 cites W2019715291 @default.
• W4387334178 cites W2093274602 @default.
• W4387334178 cites W2123200542 @default.
• W4387334178 cites W2145107531 @default.
• W4387334178 cites W2582187633 @default.
• W4387334178 cites W2749028154 @default.
• W4387334178 cites W2899283552 @default.
• W4387334178 cites W2968114327 @default.
• W4387334178 cites W2985630280 @default.
• W4387334178 cites W3019166713 @default.
• W4387334178 cites W3099490698 @default.
• W4387334178 cites W3100011500 @default.
• W4387334178 cites W3100448316 @default.
• W4387334178 cites W3104785954 @default.
• W4387334178 cites W3105826485 @default.
• W4387334178 cites W3112047584 @default.
• W4387334178 cites W3138868910 @default.
• W4387334178 cites W3153200540 @default.
• W4387334178 cites W3154843004 @default.
• W4387334178 cites W3179444763 @default.
• W4387334178 cites W3185095713 @default.
• W4387334178 cites W3186404120 @default.
• W4387334178 cites W3191818024 @default.
• W4387334178 cites W3193222792 @default.
• W4387334178 cites W3208687975 @default.
• W4387334178 cites W3209909540 @default.
• W4387334178 cites W4205825681 @default.
• W4387334178 cites W4220717841 @default.
• W4387334178 cites W4229015109 @default.
• W4387334178 cites W4285082223 @default.
• W4387334178 cites W4306920631 @default.
• W4387334178 cites W4310153797 @default.
• W4387334178 cites W4321327824 @default.
• W4387334178 cites W4321780317 @default.
• W4387334178 cites W4322760659 @default.
• W4387334178 cites W4380080445 @default.
• W4387334178 cites W4382680530 @default.
• W4387334178 cites W4383370770 @default.
• W4387334178 cites W4383875565 @default.
• W4387334178 cites W4384207482 @default.
• W4387334178 doi "https://doi.org/10.1063/5.0168390" @default.
• W4387334178 hasPublicationYear "2023" @default.
• W4387334178 type Work @default.
• W4387334178 citedByCount "0" @default.
• W4387334178 crossrefType "journal-article" @default.
• W4387334178 hasAuthorship W4387334178A5018000381 @default.
• W4387334178 hasAuthorship W4387334178A5029628331 @default.
• W4387334178 hasAuthorship W4387334178A5041870748 @default.
• W4387334178 hasAuthorship W4387334178A5074398666 @default.
• W4387334178 hasAuthorship W4387334178A5087009225 @default.
• W4387334178 hasConcept C121332964 @default.
• W4387334178 hasConcept C134306372 @default.
• W4387334178 hasConcept C135252773 @default.
• W4387334178 hasConcept C14036430 @default.
• W4387334178 hasConcept C154945302 @default.
• W4387334178 hasConcept C158622935 @default.
• W4387334178 hasConcept C207467116 @default.
• W4387334178 hasConcept C2524010 @default.
• W4387334178 hasConcept C2776036281 @default.
• W4387334178 hasConcept C28826006 @default.
• W4387334178 hasConcept C33923547 @default.
• W4387334178 hasConcept C38349280 @default.
• W4387334178 hasConcept C41008148 @default.
• W4387334178 hasConcept C50644808 @default.
• W4387334178 hasConcept C57879066 @default.
• W4387334178 hasConcept C62520636 @default.
• W4387334178 hasConcept C78458016 @default.
• W4387334178 hasConcept C86803240 @default.
• W4387334178 hasConcept C93779851 @default.
• W4387334178 hasConceptScore W4387334178C121332964 @default.
• W4387334178 hasConceptScore W4387334178C134306372 @default.
• W4387334178 hasConceptScore W4387334178C135252773 @default.
• W4387334178 hasConceptScore W4387334178C14036430 @default.
• W4387334178 hasConceptScore W4387334178C154945302 @default.
• W4387334178 hasConceptScore W4387334178C158622935 @default.
• W4387334178 hasConceptScore W4387334178C207467116 @default.
• W4387334178 hasConceptScore W4387334178C2524010 @default.
• W4387334178 hasConceptScore W4387334178C2776036281 @default.
• W4387334178 hasConceptScore W4387334178C28826006 @default.
• W4387334178 hasConceptScore W4387334178C33923547 @default.
• W4387334178 hasConceptScore W4387334178C38349280 @default.
• W4387334178 hasConceptScore W4387334178C41008148 @default.
• W4387334178 hasConceptScore W4387334178C50644808 @default.
• W4387334178 hasConceptScore W4387334178C57879066 @default.
• W4387334178 hasConceptScore W4387334178C62520636 @default.
• W4387334178 hasConceptScore W4387334178C78458016 @default.
• W4387334178 hasConceptScore W4387334178C86803240 @default.
• W4387334178 hasConceptScore W4387334178C93779851 @default.
• W4387334178 hasFunder F4320321001 @default.

• next