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Machine Learning and Big Scientific Data

Machine Learning and Big Scientific Data

12 October 2019
Tony (Anthony) John Grenville Hey
K. Butler
Sam Jackson
Jeyarajan Thiyagalingam
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Machine Learning and Big Scientific Data"

17 / 17 papers shown
Title
An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry
An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron DiffractometryBigData Congress [Services Society] (BSS), 2024
Tianle Wang
Jorge Ramirez
Cristina Garcia-Cardona
Thomas Proffen
S. Jha
Sudip K. Seal
86
0
0
06 Jun 2025
Physics-Informed Neural Networks for Electrical Circuit Analysis:
  Applications in Dielectric Material Modeling
Physics-Informed Neural Networks for Electrical Circuit Analysis: Applications in Dielectric Material Modeling
Reyhaneh Taj
PINN
80
1
0
13 Nov 2024
DeepNetBeam: A Framework for the Analysis of Functionally Graded Porous
  Beams
DeepNetBeam: A Framework for the Analysis of Functionally Graded Porous Beams
M. Eshaghi
M. Bamdad
C. Anitescu
Yizheng Wang
X. Zhuang
Timon Rabczuk
AI4CE
177
20
0
04 Aug 2024
A Triumvirate of AI Driven Theoretical Discovery
A Triumvirate of AI Driven Theoretical Discovery
Yang-Hui He
AI4CE
153
10
0
30 May 2024
Feature-Action Design Patterns for Storytelling Visualizations with Time
  Series Data
Feature-Action Design Patterns for Storytelling Visualizations with Time Series Data
Saiful Khan
Scott Jones
Benjamin Bach
Jaehoon Cha
Min Chen
Julie Meikle
Jonathan C. Roberts
Jeyan Thiyagalingam
Jo Wood
Panagiotis D. Ritsos
AI4TS
192
0
0
05 Feb 2024
Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey
  on Structural Mechanics Applications
Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey on Structural Mechanics ApplicationsData-Centric Engineering (DCE), 2023
M. Haywood-Alexander
Wei Liu
Kiran Bacsa
Zhilu Lai
Eleni Chatzi
AI4CE
312
24
0
31 Oct 2023
An Ensemble Machine Learning Approach for Tropical Cyclone Detection
  Using ERA5 Reanalysis Data
An Ensemble Machine Learning Approach for Tropical Cyclone Detection Using ERA5 Reanalysis DataEarth and Space Science (ESS), 2023
Gabriele Accarino
D. Donno
Francesco Immorlano
D. Elia
Giovanni Aloisio
AI4Cl
136
8
0
07 Jun 2023
Symbolic Regression in Materials Science: Discovering Interatomic
  Potentials from Data
Symbolic Regression in Materials Science: Discovering Interatomic Potentials from DataGenetic Programming Theory and Practice (GPTP), 2022
Bogdan Burlacu
M. Kommenda
G. Kronberger
Stephan M. Winkler
M. Affenzeller
202
5
0
13 Jun 2022
Physical Activation Functions (PAFs): An Approach for More Efficient
  Induction of Physics into Physics-Informed Neural Networks (PINNs)
Physical Activation Functions (PAFs): An Approach for More Efficient Induction of Physics into Physics-Informed Neural Networks (PINNs)Neurocomputing (Neurocomputing), 2022
J. Abbasi
Paal Ostebo Andersen
PINNAI4CE
174
33
0
29 May 2022
Scientific Machine Learning Benchmarks
Scientific Machine Learning BenchmarksNature Reviews Physics (Nat. Rev. Phys.), 2021
Jeyan Thiyagalingam
Mallikarjun Shankar
Geoffrey C. Fox
Tony (Anthony) John Grenville Hey
131
142
0
25 Oct 2021
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning
  on HPC Systems
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems
Jordan Dudley
M. Emani
J. Balma
L. Drescher
Aleksandr Drozd
...
Akihiro Tabuchi
V. Vishwanath
Mohamed Wahib
Masafumi Yamazaki
Junqi Yin
VLM
208
47
0
21 Oct 2021
Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular
  Graphs
Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs
Zhao Xu
Youzhi Luo
Xuan Zhang
Xinyi Xu
Yaochen Xie
Meng Liu
Kaleb Dickerson
Cheng Deng
Maho Nakata
Shuiwang Ji
160
43
0
30 Sep 2021
Spline parameterization of neural network controls for deep learning
Spline parameterization of neural network controls for deep learning
Stefanie Günther
Will Pazner
Dongping Qi
86
4
0
27 Feb 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
544
3
0
04 Jan 2021
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
764
88
0
17 Sep 2020
A framework for probabilistic weather forecast post-processing across
  models and lead times using machine learning
A framework for probabilistic weather forecast post-processing across models and lead times using machine learning
Charlie Kirkwood
T. Economou
H. Odbert
N. Pugeault
96
34
0
06 May 2020
Warwick Electron Microscopy Datasets
Warwick Electron Microscopy Datasets
Jeffrey M. Ede
209
14
0
02 Mar 2020
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