Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Nicholas M. Boffi"'
Publikováno v:
eLife, Vol 12 (2024)
The adaptive dynamics of evolving microbial populations takes place on a complex fitness landscape generated by epistatic interactions. The population generically consists of multiple competing strains, a phenomenon known as clonal interference. Micr
Externí odkaz:
https://doaj.org/article/15b2ca3098e34cb080e9a580a95ba2f1
Autor:
Nicholas M Boffi, Eric Vanden-Eijnden
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 3, p 035012 (2023)
The method of choice for integrating the time-dependent Fokker–Planck equation (FPE) in high-dimension is to generate samples from the solution via integration of the associated stochastic differential equation (SDE). Here, we study an alternative
Externí odkaz:
https://doaj.org/article/83e1dbd791d245a4ac8dcd969831fe5b
The adaptive dynamics of evolving microbial populations takes place on a complex fitness landscape generated by epistatic interactions. The population generically consists of multiple competing strains, a phenomenon known as clonal interference. Micr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b9f7de2899a7299b4e24b3b3d091b33
https://doi.org/10.1101/2023.01.16.524306
https://doi.org/10.1101/2023.01.16.524306
Publikováno v:
Neural Computation. 32:36-96
We analyze the effect of synchronization on distributed stochastic gradient algorithms. By exploiting an analogy with dynamical models of biological quorum sensing - where synchronization between agents is induced through communication with a common
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::300298ae8c0be706148a30951156c731
https://doi.org/10.1162/neco_a_01248
https://doi.org/10.1162/neco_a_01248
Autor:
Chris H. Rycroft, Katiana Kontolati, Darius Alix-Williams, Michael L. Falk, Michael D. Shields, Nicholas M. Boffi
We introduce a generalized machine learning framework to probabilistically parameterize upper-scale models in the form of nonlinear PDEs consistent with a continuum theory, based on coarse-grained atomistic simulation data of mechanical deformation a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58aff726540b087088c6bc5f21b06b83
https://escholarship.org/uc/item/2hx5g706
https://escholarship.org/uc/item/2hx5g706
Publikováno v:
Neural computation. 33(3)
Stable concurrent learning and control of dynamical systems is the subject of adaptive control. Despite being an established field with many practical applications and a rich theory, much of the development in adaptive control for nonlinear systems r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0805e7cd4899224c065777b77e0889de
https://pubmed.ncbi.nlm.nih.gov/33513321
https://pubmed.ncbi.nlm.nih.gov/33513321
A key assumption in the theory of nonlinear adaptive control is that the uncertainty of the system can be expressed in the linear span of a set of known basis functions. While this assumption leads to efficient algorithms, it limits applications to v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c66a0f50af1e4b54eb41810639a9ad65
Autor:
Chris H. Rycroft, Nicholas M. Boffi
Publikováno v:
Physical Review E. 101
Molecular dynamics simulations frequently employ periodic boundary conditions where the positions of the periodic images are manipulated in order to apply deformation to the material sample. For example, Lees-Edwards conditions use moving periodic im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a5fb93bb9883c35c134d7724183f9f4
https://doi.org/10.1103/physreve.101.053304
https://doi.org/10.1103/physreve.101.053304
Autor:
Chris H. Rycroft, Nicholas M. Boffi
Hypo-elastoplasticity is a flexible framework for modeling the mechanics of many hard materials under small elastic deformation and large plastic deformation. Under typical loading rates, most laboratory tests of these materials happen in the quasi-s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::026011c346037513a753db5286f2b3c6
http://arxiv.org/abs/1904.03808
http://arxiv.org/abs/1904.03808
Publikováno v:
Journal of Chemical Theory and Computation. 12:3614-3622
We describe an efficient projection-based real-space implementation of the nonlocal single-determinant exchange operator. Through a matrix representation of the projected operator, we show that this scheme works equally well for both occupied and vir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f0025437f7661148614646e73f0618e
https://doi.org/10.1021/acs.jctc.6b00376
https://doi.org/10.1021/acs.jctc.6b00376