default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMichael D. Graham
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[i15]Andrew J. Fox, Michael D. Graham:
Data-driven low-dimensional model of a sedimenting flexible fiber. CoRR abs/2405.10442 (2024)- [i14]Jake Buzhardt, C. Ricardo Constante-Amores, Michael D. Graham:
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions. CoRR abs/2411.12940 (2024) - 2023
- [j4]Alec J. Linot
, Joshua W. Burby, Qi Tang, Prasanna Balaprakash, Michael D. Graham, Romit Maulik:
Stabilized neural ordinary differential equations for long-time forecasting of dynamical systems. J. Comput. Phys. 474: 111838 (2023) - [i13]Alec J. Linot, Michael D. Graham:
Dynamics of a data-driven low-dimensional model of turbulent minimal Couette flow. CoRR abs/2301.04638 (2023) - [i12]Alec J. Linot, Kevin Zeng, Michael D. Graham:
Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning. CoRR abs/2301.12098 (2023) - [i11]Kevin Zeng, Michael D. Graham:
Autoencoders for discovering manifold dimension and coordinates in data from complex dynamical systems. CoRR abs/2305.01090 (2023) - [i10]C. Ricardo Constante-Amores, Alec J. Linot, Michael D. Graham:
Enhancing Predictive Capabilities in Data-Driven Dynamical Modeling with Automatic Differentiation: Koopman and Neural ODE Approaches. CoRR abs/2310.06790 (2023) - [i9]Carlos E. Pérez De Jesús, Alec J. Linot, Michael D. Graham:
Building symmetries into data-driven manifold dynamics models for complex flows. CoRR abs/2312.10235 (2023) - 2022
- [j3]Daniel Floryan, Michael D. Graham:
Data-driven discovery of intrinsic dynamics. Nat. Mac. Intell. 4(12): 1113-1120 (2022) - [i8]Alec J. Linot, Joshua W. Burby, Qi Tang, Prasanna Balaprakash, Michael D. Graham, Romit Maulik:
Stabilized Neural Ordinary Differential Equations for Long-Time Forecasting of Dynamical Systems. CoRR abs/2203.15706 (2022) - [i7]Kevin Zeng, Alec J. Linot, Michael D. Graham:
Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning. CoRR abs/2205.00579 (2022) - [i6]Carlos E. Pérez De Jesús, Michael D. Graham:
Data-driven low-dimensional dynamic model of Kolmogorov flow. CoRR abs/2210.16708 (2022) - [i5]Charles D. Young, Michael D. Graham:
Deep learning delay coordinate dynamics for chaotic attractors from partial observable data. CoRR abs/2211.11061 (2022) - 2021
- [i4]Kevin Zeng, Michael D. Graham:
Symmetry reduction for deep reinforcement learning active control of chaotic spatiotemporal dynamics. CoRR abs/2104.05437 (2021) - [i3]Daniel Floryan, Michael D. Graham:
Charts and atlases for nonlinear data-driven models of dynamics on manifolds. CoRR abs/2108.05928 (2021) - [i2]Alec J. Linot, Michael D. Graham:
Data-Driven Reduced-Order Modeling of Spatiotemporal Chaos with Neural Ordinary Differential Equations. CoRR abs/2109.00060 (2021) - 2020
- [j2]Rishav Agrawal, Henry C.-H. Ng, Ethan A. Davis, Jae Sung Park, Michael D. Graham, David J. C. Dennis, Robert J. Poole:
Low- and High-Drag Intermittencies in Turbulent Channel Flows. Entropy 22(10): 1126 (2020) - [i1]Alec J. Linot, Michael D. Graham:
Deep learning to discover and predict dynamics on an inertial manifold. CoRR abs/2001.04263 (2020)
2010 – 2019
- 2012
- [j1]Amit Kumar, Michael D. Graham:
Accelerated boundary integral method for multiphase flow in non-periodic geometries. J. Comput. Phys. 231(20): 6682-6713 (2012)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-09 13:11 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
