​
Login / Signup
Dylan Robert Harp
ORCID
Publication Activity (10 Years)
Years Active: 2021-2023
Publications (10 Years): 8
Top Topics
Fluid Flow
Neural Network Model
Deep Learning
Porous Media
Top Venues
CoRR
J. Comput. Phys.
Expert Syst. Appl.
J. Open Source Softw.
</>
Publications
</>
Daniel O'Malley
,
Sarah Y. Greer
,
Aleksandra Pachalieva
,
Wu Hao
,
Dylan Robert Harp
,
Velimir V. Vesselinov
DPFEHM: a differentiable subsurface physics simulator.
J. Open Source Softw.
8 (90) (2023)
Bicheng Yan
,
Dylan Robert Harp
,
Bailian Chen
,
Hussein Hoteit
,
Rajesh J. Pawar
A gradient-based deep neural network model for simulating multiphase flow in porous media.
J. Comput. Phys.
463 (2022)
Aleksandra Pachalieva
,
Daniel O'Malley
,
Dylan Robert Harp
,
Hari S. Viswanathan
Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management.
CoRR
(2022)
Dylan Robert Harp
,
Dan O'Malley
,
Bicheng Yan
,
Rajesh J. Pawar
On the feasibility of using physics-informed machine learning for underground reservoir pressure management.
Expert Syst. Appl.
178 (2021)
Bicheng Yan
,
Bailian Chen
,
Dylan Robert Harp
,
Rajesh J. Pawar
A Robust Deep Learning Workflow to Predict Multiphase Flow Behavior during Geological CO2 Sequestration Injection and Post-Injection Periods.
CoRR
(2021)
Bicheng Yan
,
Dylan Robert Harp
,
Bailian Chen
,
Rajesh J. Pawar
Improving Deep Learning Performance for Predicting Large-Scale Porous-Media Flow through Feature Coarsening.
CoRR
(2021)
Bicheng Yan
,
Dylan Robert Harp
,
Rajesh J. Pawar
A Gradient-based Deep Neural Network Model for Simulating Multiphase Flow in Porous Media.
CoRR
(2021)
Bicheng Yan
,
Dylan Robert Harp
,
Bailian Chen
,
Rajesh J. Pawar
A Physics-Constrained Deep Learning Model for Simulating Multiphase Flow in 3D Heterogeneous Porous Media.
CoRR
(2021)