The complex plate collision process led the South Yellow Sea Basin(SYSB)to go through an intensity tectonic inversion during the Early Cenozoic,leading to a regional unconformity surface development.As a petroliferous...The complex plate collision process led the South Yellow Sea Basin(SYSB)to go through an intensity tectonic inversion during the Early Cenozoic,leading to a regional unconformity surface development.As a petroliferous basin,SYSB saw intense denudation and deposition processes,making it hard to characterize their source-to-sink system(S2S),and this study provided a new way to reveal them quantitatively.According to the seismic interpretation,it was found that two types of tectonic inversion led to the strata shortening process,which was classified according to their difference in planar movements:dip-slip faults and strike-slip ones.As for dip-slip faults,the inversion structure was primarily formed by the dip-slip movement,and many fault-related folds developed,which developed in the North Depression Zone of the SYSB.The strike-slip ones,accompanied by some negative flower structures,dominate the South Depression Zone of the SYSB.To reveal its source-to-sink(S2S)system in the tectonic inversion basin,we rebuild the provenance area with detrital zircon U-Pb data and heavy mineral assemblage.The results show,during the Eocene(tectonic inversion stage),the proximal slump or fan delta from the Central Uplift Zone was prominently developed in the North Depression Zone,and the South Depression Zone is filled by sediments from the proximal area(Central Uplift Zone in SYSB and Wunansha Uplift)and the prograding delta long-axis parallel to the boundary faults.Then,calculations were conducted on the coarse sediment content,fault displacements,catchment relief,sediment migration distance,and discussions about the impact factors of the S2S system developed in various strata shortening patterns with a statistical method.It was found that,within the dip-slip faults-dominated zone,the volume of the sediment routing system and the ratio of coarse-grained sediments merely have a relationship with the amount of sediment supply and average faults break displacement.Compared with the strike-slip faults-dominated zone,the source-to-sink system shows a lower level of sandy sediment influx,and its coarse-grained content is mainly determined by the average faults broken displacement.展开更多
The graph-based representation of material structures,along with deep neural network models,often lacks locality and requires large datasets,which are seldom available in specialized materials research.To address this...The graph-based representation of material structures,along with deep neural network models,often lacks locality and requires large datasets,which are seldom available in specialized materials research.To address this challenge,we developed a more data-efficient center-environment(CE)structure representation that incorporates a predefined attention-focused mechanism.This approach was applied in a machine learning(ML)study to examine the local alloying effects on the structural stability of Nb alloys.In the CE feature model,the atomic environment type(AET)method was utilized,which effectively describes the low-symmetry physical shell structures of neighboring atoms.The optimized ML-CEAET models successfully predicted double-site substitution energies in Nb with a mean absolute error of 55.37 meV and identified Si-M pairs(where M=Ta,W,Re,and lanthanide rare-earth elements)as promising stabilizers for Nb.The ML-CE_(AET)model’s good transferability was further confirmed through accurate prediction of untrained alloying element Nb.Significantly,in cases involving small datasets,non-deep learning models with CE features outperformed deep learning models based on graph features reported in the literature.展开更多
基金sponsored by the National Natural Science Foundation of China-Youth Science Fund(No.42402150)the Major State Science and Technology Research Program(No.2016ZX05024002-002)the Chinese Scholarship Council(CSC)。
文摘The complex plate collision process led the South Yellow Sea Basin(SYSB)to go through an intensity tectonic inversion during the Early Cenozoic,leading to a regional unconformity surface development.As a petroliferous basin,SYSB saw intense denudation and deposition processes,making it hard to characterize their source-to-sink system(S2S),and this study provided a new way to reveal them quantitatively.According to the seismic interpretation,it was found that two types of tectonic inversion led to the strata shortening process,which was classified according to their difference in planar movements:dip-slip faults and strike-slip ones.As for dip-slip faults,the inversion structure was primarily formed by the dip-slip movement,and many fault-related folds developed,which developed in the North Depression Zone of the SYSB.The strike-slip ones,accompanied by some negative flower structures,dominate the South Depression Zone of the SYSB.To reveal its source-to-sink(S2S)system in the tectonic inversion basin,we rebuild the provenance area with detrital zircon U-Pb data and heavy mineral assemblage.The results show,during the Eocene(tectonic inversion stage),the proximal slump or fan delta from the Central Uplift Zone was prominently developed in the North Depression Zone,and the South Depression Zone is filled by sediments from the proximal area(Central Uplift Zone in SYSB and Wunansha Uplift)and the prograding delta long-axis parallel to the boundary faults.Then,calculations were conducted on the coarse sediment content,fault displacements,catchment relief,sediment migration distance,and discussions about the impact factors of the S2S system developed in various strata shortening patterns with a statistical method.It was found that,within the dip-slip faults-dominated zone,the volume of the sediment routing system and the ratio of coarse-grained sediments merely have a relationship with the amount of sediment supply and average faults break displacement.Compared with the strike-slip faults-dominated zone,the source-to-sink system shows a lower level of sandy sediment influx,and its coarse-grained content is mainly determined by the average faults broken displacement.
基金supported by the National Natural Science Foundation of China(Nos.52373227,52201016)the National Key Research and Development Program of China(Nos.2017YFB0702901,2017YFB0701502,2023YFB4606200)+1 种基金Shanghai Technical Service Center for Advanced Ceramics Structure Design and Precision Manufacturing,China(No.20DZ2294000)Key Program of Science and Technology of Yunnan Province,China(No.202302AB080020).
文摘The graph-based representation of material structures,along with deep neural network models,often lacks locality and requires large datasets,which are seldom available in specialized materials research.To address this challenge,we developed a more data-efficient center-environment(CE)structure representation that incorporates a predefined attention-focused mechanism.This approach was applied in a machine learning(ML)study to examine the local alloying effects on the structural stability of Nb alloys.In the CE feature model,the atomic environment type(AET)method was utilized,which effectively describes the low-symmetry physical shell structures of neighboring atoms.The optimized ML-CEAET models successfully predicted double-site substitution energies in Nb with a mean absolute error of 55.37 meV and identified Si-M pairs(where M=Ta,W,Re,and lanthanide rare-earth elements)as promising stabilizers for Nb.The ML-CE_(AET)model’s good transferability was further confirmed through accurate prediction of untrained alloying element Nb.Significantly,in cases involving small datasets,non-deep learning models with CE features outperformed deep learning models based on graph features reported in the literature.
