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Anergy to synergy—the energy fueling the rxcovea framework

Bischof, E and Broek, JAC and Cantor, CR and Duits, AJ and Ferro, A and Gao, HW and Li, Z and de Maria, SL and Maria, NI and Mishra, B and Mishra, KI and van der Ploeg, L and Rudolph, L and Schlick, T and Acosta, A and Alaimo, S and Battifarano, E and Chandru, V and Chatterjee, S and Connolly, J and Edmondson, J and Enaganti, I and Gilbert, S and Hariharan, R and John, K and Klein-Seetharaman, J and de Maria, RL and Maria, JN and Massey, SE and Meel, KS and Pulvirenti, A and Qi, Q and Ramirez, RA and Rapicavoli, V and Rionegro, J and Saadi, S and Samad, T and Travesedo, J and Guo, EX and Zhavoronkov, A and Stasuzzo, A and Framework, RxCOVEA (2020) Anergy to synergy—the energy fueling the rxcovea framework. In: International Journal for Multiscale Computational Engineering, 18 (3). pp. 329-333.

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Official URL: https://doi.org/10.1615/IntJMultCompEng.2020035097

Abstract

We write to introduce our novel group formed to confront some of the issues raised by the COVID-19 pandemic. Information about the group, which we named “cure COVid for Ever and for All” (RxCOVEA), its dynamic membership (changing regularly), and some of its activities—described in more technical detail for expert perusal and commentary—are available upon request.

Item Type: Journal Article
Publication: International Journal for Multiscale Computational Engineering
Publisher: Begell House Inc.
Additional Information: The copyright for this article belongs to the Authors.
Keywords: Computer networks, Dynamic membership; Technical details, Computer applications
Department/Centre: Division of Interdisciplinary Sciences > Management Studies
Date Deposited: 24 Jan 2023 04:31
Last Modified: 24 Jan 2023 04:31
URI: https://eprints.iisc.ac.in/id/eprint/79296

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