Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2001.08055
Cited By
v1
v2 (latest)
Building high accuracy emulators for scientific simulations with deep neural architecture search
17 January 2020
M. F. Kasim
D. Watson‐Parris
L. Deaconu
Sophy Oliver
P. Hatfield
D. Froula
G. Gregori
Matt Jarvis
S. Khatiwala
J. Korenaga
J. Topp-Mugglestone
E. Viezzer
S. Vinko
AI4CE
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Building high accuracy emulators for scientific simulations with deep neural architecture search"
38 / 38 papers shown
Study Design and Demystification of Physics Informed Neural Networks for Power Flow Simulation
Milad Leyli-abadi
Antoine Marot
Jérôme Picault
AI4CE
113
0
0
23 Sep 2025
Quantum advantage for learning shallow neural networks with natural data distributions
Laura Lewis
D. Gilboa
Jarrod R. McClean
144
4
0
26 Mar 2025
DiffESM: Conditional Emulation of Temperature and Precipitation in Earth System Models with 3D Diffusion Models
Journal of Advances in Modeling Earth Systems (JAMES), 2024
Seth Bassetti
Brian Hutchinson
Claudia Tebaldi
Ben Kravitz
298
21
0
17 Sep 2024
Feasibility Study on Active Learning of Smart Surrogates for Scientific Simulations
Pradeep Bajracharya
J. Q. Toledo-Marín
Geoffrey C. Fox
S. Jha
Linwei Wang
AI4CE
348
2
0
10 Jul 2024
NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design
Mouadh Yagoubi
David Danan
Milad Leyli-Abadi
Jean-Patrick Brunet
Jocelyn Ahmed Mazari
...
maroua gmati
A. Farjallah
Paola Cinnella
Patrick Gallinari
Marc Schoenauer
AI4CE
271
11
0
30 Jun 2024
A Fast Learning-Based Surrogate of Electrical Machines using a Reduced Basis
Alejandro Ribés
Nawfal Benchekroun
Théo Delagnes
AI4CE
272
2
0
27 Jun 2024
AI-coupled HPC Workflow Applications, Middleware and Performance
Wes Brewer
Ana Gainaru
Frédéric Suter
Feiyi Wang
M. Emani
S. Jha
346
28
0
20 Jun 2024
Diffusion-Based Joint Temperature and Precipitation Emulation of Earth System Models
Katie Christensen
Lyric Otto
Seth Bassetti
Claudia Tebaldi
Brian Hutchinson
301
1
0
12 Apr 2024
ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design)
Mouadh Yagoubi
Milad Leyli-Abadi
David Danan
Jean-Patrick Brunet
Jocelyn Ahmed Mazari
F. Bonnet
A. Farjallah
Marc Schoenauer
Patrick Gallinari
AI4CE
218
3
0
03 Mar 2024
High Throughput Training of Deep Surrogates from Large Ensemble Runs
International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2023
Lucas Meyer
M. Schouler
R. Caulk
Alejandro Ribés
Bruno Raffin
AI4CE
224
7
0
28 Sep 2023
Reduced Simulations for High-Energy Physics, a Middle Ground for Data-Driven Physics Research
International Conference on Conceptual Structures (ICCS), 2023
Uraz Odyurt
S. N. Swatman
A. Varbanescu
Sascha Caron
114
4
0
30 Aug 2023
Learning and Generalizing Polynomials in Simulation Metamodeling
J. Hauch
Christoffer Riis
Francisco Câmara Pereira
195
0
0
20 Jul 2023
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling
Qidong Yang
Alex Hernandez-Garcia
P. Harder
Venkatesh Ramesh
Prasanna Sattegeri
Daniela Szwarcman
C. Watson
David Rolnick
AI4CE
220
32
0
23 May 2023
A Neural Emulator for Uncertainty Estimation of Fire Propagation
Andrew Bolt
Conrad Sanderson
J. Dabrowski
C. Huston
Petra Kuhnert
274
4
0
10 May 2023
Adapting U-Net for linear elastic stress estimation in polycrystal Zr microstructures
J. D. Langcaster
D. Balint
M. Wenman
183
3
0
15 Mar 2023
Myths and Legends in High-Performance Computing
The international journal of high performance computing applications (IJHPCA), 2023
Satoshi Matsuoka
Jens Domke
Mohamed Wahib
Aleksandr Drozd
Torsten Hoefler
401
19
0
06 Jan 2023
Exploring Randomly Wired Neural Networks for Climate Model Emulation
Artificial Intelligence for the Earth Systems (AIES), 2022
William Yik
Sam J. Silva
A. Geiss
D. Watson‐Parris
329
3
0
06 Dec 2022
On the Compatibility between Neural Networks and Partial Differential Equations for Physics-informed Learning
Social Science Research Network (SSRN), 2022
Kuangdai Leng
Jeyan Thiyagalingam
PINN
243
5
0
01 Dec 2022
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics
High Power Laser Science and Engineering (HPLSE), 2022
Andreas Döpp
C. Eberle
S. Howard
F. Irshad
Jinpu Lin
M. Streeter
AI4CE
349
91
0
30 Nov 2022
Can denoising diffusion probabilistic models generate realistic astrophysical fields?
N. Mudur
D. Finkbeiner
DiffM
196
18
0
22 Nov 2022
Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning
Xiajun Jiang
Zhiyuan Li
R. Missel
Md Shakil Zaman
B. Zenger
W. Good
Rob S. MacLeod
J. Sapp
Linwei Wang
MedIm
173
3
0
06 Oct 2022
AI-coupled HPC Workflows
S. Jha
V. Pascuzzi
Matteo Turilli
234
14
0
24 Aug 2022
A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models
Andrew Bolt
C. Huston
Petra Kuhnert
J. Dabrowski
J. Hilton
Conrad Sanderson
AI4TS
325
12
0
17 Jun 2022
A posteriori learning for quasi-geostrophic turbulence parametrization
Journal of Advances in Modeling Earth Systems (JAMES), 2022
Hugo Frezat
Julien Le Sommer
Ronan Fablet
G. Balarac
Redouane Lguensat
241
74
0
08 Apr 2022
An Emulation Framework for Fire Front Spread
Andrew Bolt
J. Dabrowski
C. Huston
Petra Kuhnert
126
1
0
23 Mar 2022
Reducing the Long Tail Losses in Scientific Emulations with Active Learning
Yi Heng Lim
M. F. Kasim
114
0
0
15 Nov 2021
Designing Machine Learning Surrogates using Outputs of Molecular Dynamics Simulations as Soft Labels
J. Kadupitiya
Nasim Anousheh
V. Jadhao
AI4CE
SyDa
108
0
0
27 Oct 2021
Learning Transport Processes with Machine Intelligence
Scientific Reports (Sci Rep), 2021
F. Miniati
G. Gregori
AI4CE
217
6
0
27 Sep 2021
Opportunistic Emulation of Computationally Expensive Simulations via Deep Learning
Conrad Sanderson
D. Pagendam
B. Power
Frederick Bennett
Ross Darnell
244
2
0
25 Aug 2021
Self-learning Emulators and Eigenvector Continuation
Physical Review Research (Phys. Rev. Res.), 2021
Avik Sarkar
Dean Lee
186
19
0
28 Jul 2021
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations
Advances in Computational Mathematics (Adv. Comput. Math.), 2021
Benjamin Moseley
Andrew Markham
T. Nissen‐Meyer
PINN
216
345
0
16 Jul 2021
Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems
Logan G. Wright
Tatsuhiro Onodera
Martin M. Stein
Tianyu Wang
Darren T. Schachter
Zoey Hu
Peter L. McMahon
PINN
AI4CE
279
653
0
27 Apr 2021
Optimized and autonomous machine learning framework for characterizing pores, particles, grains and grain boundaries in microstructural images
Computational materials science (Comput. Mater. Sci.), 2021
Roberto Perera
D. Guzzetti
V. Agrawal
211
32
0
16 Jan 2021
Towards fast machine-learning-assisted Bayesian posterior inference of microseismic event location and source mechanism
Geophysical Journal International (GJI), 2021
Davide Piras
A. Mancini
Ana M. G. Ferreira
B. Joachimi
Michael P. Hobson
201
6
0
12 Jan 2021
ξ
ξ
ξ
-torch: differentiable scientific computing library
M. F. Kasim
S. Vinko
AI4CE
160
6
0
05 Oct 2020
Robust posterior inference when statistically emulating forward simulations
G. Aslanyan
R. Easther
Nathan Musoke
Layne Price
55
0
0
24 Apr 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
ACM Computing Surveys (ACM CSUR), 2020
J. Willard
X. Jia
Shaoming Xu
M. Steinbach
Vipin Kumar
AI4CE
761
571
0
10 Mar 2020
A framework for deep learning emulation of numerical models with a case study in satellite remote sensing
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Kate Duffy
T. Vandal
Weile Wang
R. Nemani
A. Ganguly
142
11
0
29 Oct 2019
1
Page 1 of 1
