2.0 - MOOSE: Enabling massively parallel multiphysics simulation

Autor: Alexander D. Lindsay, Derek R. Gaston, Cody J. Permann, Jason M. Miller, David Andrš, Andrew E. Slaughter, Fande Kong, Joshua Hansel, Robert W. Carlsen, Casey Icenhour, Logan Harbour, Guillaume L. Giudicelli, Roy H. Stogner, Peter German, Jacob Badger, Sudipta Biswas, Leora Chapuis, Christopher Green, Jason Hales, Tianchen Hu, Wen Jiang, Yeon Sang Jung, Christopher Matthews, Yinbin Miao, April Novak, John W. Peterson, Zachary M. Prince, Andrea Rovinelli, Sebastian Schunert, Daniel Schwen, Benjamin W. Spencer, Swetha Veeraraghavan, Antonio Recuero, Dewen Yushu, Yaqi Wang, Andy Wilkins, Christopher Wong
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: SoftwareX, Vol 20, Iss , Pp 101202- (2022)
Druh dokumentu: article
ISSN: 2352-7110
DOI: 10.1016/j.softx.2022.101202
Popis: The last 2 years have been a period of unprecedented growth for the MOOSE community and the software itself. The number of monthly visitors to the website has grown from just over 3,000 to now averaging 5,000. In addition, over 1,800 pull requests have been merged since the beginning of 2020, and the new discussions forum has averaged 600 unique visitors per month. The previous publication has been cited over 200 times since it was published 2 years ago. This paper serves as an update on some of the key additions and changes to the code and ecosystem over the last 2 years, as well as recognizing contributions from the community.
Databáze: Directory of Open Access Journals