John Harlim

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Dive into the research topics where John Harlim is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

3 Finished
4 Active

AMPS: Compositional Data-Driven Modeling, Prediction and Control for Reconfigurable Renewable Energy Systems
Harlim, J. (CoPI), Li, Y. (PI) & Huang, D. (CoPI)
National Science Foundation
9/1/22 → 8/31/25
Project: Research project
Data-driven statistical dynamical modeling: Shortage of training data and high- dimensionality
Harlim, J. (PI)
National Science Foundation
8/1/22 → 7/31/25
Project: Research project
Solving PDEs with manifold learning algorithms
Harlim, J. (PI)
U.S. Navy
2/2/22 → …
Project: Research project
Nonparametric Probabilistic Forecasting Methods
Harlim, J. (PI)
U.S. Navy
10/1/16 → …
Project: Research project
FRG: Collaborative Research: Non-Smooth Geometry, Spectral Theory, and Data: Learning and Representing Projections of Complex Systems
Harlim, J. (PI)
National Science Foundation
7/1/19 → 6/30/23
Project: Research project

65 Article
2 Book
2 Conference contribution
1 Chapter

Generalized finite difference method on unknown manifolds
Jiang, S. W., Li, R., Yan, Q. & Harlim, J., Apr 1 2024, In: Journal of Computational Physics. 502, 112812.
Research output: Contribution to journal › Article › peer-review

Open Access
Solving PDEs on unknown manifolds with machine learning
Liang, S., Jiang, S. W., Harlim, J. & Yang, H., Jul 2024, In: Applied and Computational Harmonic Analysis. 71, 101652.
Research output: Contribution to journal › Article › peer-review

Open Access
Tangent and Normal Space-Based Method for Dynamics Identification in Microgrids
He, H., Harlim, J., Huang, D. & Li, Y., 2024, 2024 IEEE Transportation Electrification Conference and Expo, ITEC 2024. Institute of Electrical and Electronics Engineers Inc., (2024 IEEE Transportation Electrification Conference and Expo, ITEC 2024).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
A data-driven statistical-stochastic surrogate modeling strategy for complex nonlinear non-stationary dynamics
Qi, D. & Harlim, J., Jul 15 2023, In: Journal of Computational Physics. 485, 112085.
Research output: Contribution to journal › Article › peer-review

Open Access
5 Scopus citations
Ghost Point Diffusion Maps for Solving Elliptic PDEs on Manifolds with Classical Boundary Conditions
Jiang, S. W. & Harlim, J., Feb 2023, In: Communications on Pure and Applied Mathematics. 76, 2, p. 337-405 69 p.
Research output: Contribution to journal › Article › peer-review

Open Access
9 Scopus citations

John Harlim, PhD

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Collaborations and top research areas from the last five years

Dive into details

AMPS: Compositional Data-Driven Modeling, Prediction and Control for Reconfigurable Renewable Energy Systems

Data-driven statistical dynamical modeling: Shortage of training data and high- dimensionality

Solving PDEs with manifold learning algorithms

Nonparametric Probabilistic Forecasting Methods

FRG: Collaborative Research: Non-Smooth Geometry, Spectral Theory, and Data: Learning and Representing Projections of Complex Systems

Generalized finite difference method on unknown manifolds

Solving PDEs on unknown manifolds with machine learning

Tangent and Normal Space-Based Method for Dynamics Identification in Microgrids

A data-driven statistical-stochastic surrogate modeling strategy for complex nonlinear non-stationary dynamics

Ghost Point Diffusion Maps for Solving Elliptic PDEs on Manifolds with Classical Boundary Conditions

John Harlim, PhD

Fingerprint

Collaborations and top research areas from the last five years

Projects

Research output