Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Daniel Hexner"'
Autor:
Himangsu Bhaumik, Daniel Hexner
Publikováno v:
Physical Review Research, Vol 4, Iss 4, p L042044 (2022)
Material training is a method to endow materials with specific responses through external driving. We study the complexity of attainable responses, as expressed in the number of sites that are simultaneously controlled. With increased complexity, con
Externí odkaz:
https://doaj.org/article/554e40f1e42b4d4caf9c7ed7bcb1a2b6
Publikováno v:
Physical Review X, Vol 11, Iss 2, p 021045 (2021)
Materials and machines are often designed with particular goals in mind, so that they exhibit desired responses to given forces or constraints. Here we explore an alternative approach, namely physical coupled learning. In this paradigm, the system is
Externí odkaz:
https://doaj.org/article/bfdef93505ef4ccea0370881623d513f
Publikováno v:
Physical Review Research, Vol 2, Iss 4, p 043231 (2020)
Disordered solids often change their elastic response as they slowly age. Using experiments and simulations, we study how aging disordered planar networks under an applied stress affects their nonlinear elastic response. We are able to modify dramati
Externí odkaz:
https://doaj.org/article/41e4285ab44e4e4db0edf39ace727b9d
Autor:
Daniel Hexner
We introduce a training rule that enables a network composed of springs and dashpots to learn precise stress patterns. Our goal is to control the tensions on a fraction of "target" bonds, which are chosen randomly. The system is trained by applying s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85fd4c52ec4428de82205c4505118bd6
http://arxiv.org/abs/2211.06893
http://arxiv.org/abs/2211.06893
Autor:
Daniel Hexner, Himangsu Bhaumik
Material training is a method to endow materials with specific responses through external driving. We study the complexity of attainable responses, as expressed in the number of sites that are simultaneously controlled. With increased complexity, con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::934cda71a450d5498efa401aee96f405
Crumpling an ordinary thin sheet transforms it into a structure with unusual mechanical behaviors, such as enhanced rigidity, emission of crackling noise, slow relaxations, and memory retention. A central challenge in explaining these behaviours lies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5039242a1f954238a23429432fce3a38
http://arxiv.org/abs/2109.05212
http://arxiv.org/abs/2109.05212
Autor:
Daniel Hexner
Publikováno v:
Soft matter. 17(16)
The elastic behavior of materials operating in the linear regime is constrained, by definition, to operations that are linear in the imposed deformation. Although the nonlinear regime holds promise for new functionality, the design in this regime is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d1408ccd8e6877af41b3b84c33f1f1c
https://pubmed.ncbi.nlm.nih.gov/33908450
https://pubmed.ncbi.nlm.nih.gov/33908450
Publikováno v:
Proc Natl Acad Sci U S A
Significance It is well appreciated that many disordered materials deform their shape irreversibly (plastically) under an external load (e.g., memory foam). Here, we show that this plasticity can be exploited to train materials to develop novel elast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fdefad186036c913e3534f0205afc3ec
https://europepmc.org/articles/PMC7749283/
https://europepmc.org/articles/PMC7749283/
Publikováno v:
Proceedings of the National Academy of Sciences. 114:4294-4299
Significance Particles in sheared suspensions rearrange due to collisions, until they find positions where they no longer collide. At this point, the system stops evolving. Above a critical density/strain, they can no longer find such an absorbing st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1de120d9ddb1aba4d40acaa68ca90a67
https://doi.org/10.1073/pnas.1619260114
https://doi.org/10.1073/pnas.1619260114
Publikováno v:
Physical Review X, Vol 11, Iss 2, p 021045 (2021)
Materials and machines are often designed with particular goals in mind, so that they exhibit desired responses to given forces or constraints. Here we explore an alternative approach, namely physical coupled learning. In this paradigm, the system is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa537c22126252a758015afa7f6a68be