Workflow provenance in the lifecycle of scientific machine learning-Reference-Cited by-同舟云学术

Workflow provenance in the lifecycle of scientific machine learning

Published:2021-08-22 Issue: Volume: Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Souza Renan¹^ORCID,Azevedo Leonardo G.¹,Lourenço Vítor¹,Soares Elton¹,Thiago Raphael¹,Brandão Rafael¹,Civitarese Daniel¹,Vital Brazil Emilio¹,Moreno Marcio¹,Valduriez Patrick²,Mattoso Marta³,Cerqueira Renato¹,Netto Marco A. S.¹

Affiliation:

1. IBM Research

2. Inria Univ. Montpellier, CNRS & LIRMM Montpellier France

3. COPPE Federal University of Rio de Janeiro Rio de Janeiro Brazil

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6544

Reference73 articles.

1. HesthavenJ KarniadakisG. Scientific Machine Learning Workshop; 2019 Rhode Island USA.https://icerm.brown.edu/events/ht19‐1‐sml.

2. Intelligent systems for geosciences

3. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

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