Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Thomas H. Beuman"'
Autor:
Thomas H. Beuman, Michelle Driscoll, Bryan Gin-ge Chen, Sidney R. Nagel, Vincenzo Vitelli, Stephan Ulrich
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America. 113(39)
We investigate how material rigidity acts as a key control parameter for the failure of solids under stress. In both experiments and simulations, we demonstrate that material failure can be continuously tuned by varying the underlying rigidity of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17b9954dd656809570b45f133770d885
https://pubmed.ncbi.nlm.nih.gov/27621463
https://pubmed.ncbi.nlm.nih.gov/27621463
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 109(49), 19943-19948. National Academy of Sciences
Gaussian random fields pervade all areas of science. However, it is often the departures from Gaussianity that carry the crucial signature of the nonlinear mechanisms at the heart of diverse phenomena, ranging from structure formation in condensed ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cfa633bec006c04c72cb6ea54a3ed3d
https://doi.org/10.1073/pnas.1212028109
https://doi.org/10.1073/pnas.1212028109
Measures of the non-Gaussianity of a random field depend on how accurately one is able to measure the field. If a signal measured at a certain point is to be averaged with its surroundings, or coarse-grained, the magnitude of its non-Gaussian compone
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5f0e4228404637e282215fb428a5b89
Publikováno v:
Physical Review E, 88, 012115
Random fields in nature often have, to a good approximation, Gaussian characteristics. For such fields, the number of maxima and minima are the same. Furthermore, the relative densities of umbilical points, topological defects which can be classified
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19f4fd5d16cef3fa4434c7250a0036a9
https://doi.org/10.1103/physreve.88.012115
https://doi.org/10.1103/physreve.88.012115
Publikováno v:
Physical Review E, 87, 022142
Physical Review E
Physical Review E
When the equations that govern the dynamics of a random field are nonlinear, the field can develop with time non-Gaussian statistics even if its initial condition is Gaussian. Here, we provide a general framework for calculating the effect of the und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd5edb0caf5640e851c5dfe0f54779f7
http://hdl.handle.net/1887/56098
http://hdl.handle.net/1887/56098