Domain-Specific Energy Modeling for Drug Discovery and Magnetohydrodynamics Applications-Reference-Cited by-同舟云学术

Domain-Specific Energy Modeling for Drug Discovery and Magnetohydrodynamics Applications

Published:2023-11-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
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Author:

Carpentieri Lorenzo¹^ORCID,D'Antonio Marco¹^ORCID,Fan Kaijie²^ORCID,Crisci Luigi¹^ORCID,Cosenza Biagio¹^ORCID,Ficarelli Federico³^ORCID,Cesarini Daniele³^ORCID,Accordi Gianmarco⁴^ORCID,Gadioli Davide⁴^ORCID,Palermo Gianluca⁴^ORCID,Thoman Peter⁵^ORCID,Salzmann Philip⁵^ORCID,Gschwandtner Philipp⁶^ORCID,Wippler Markus⁷^ORCID,Marchetti Filippo⁸^ORCID,Gregori Daniele⁸^ORCID,Beccari Andrea Rosario⁹^ORCID

Affiliation:

1. University of Salerno, Italy

2. Technical University of Berlin, Germany and University of Salerno, Italy

3. CINECA, Italy

4. Polytechnic University of Milan, Italy

5. University of Innsbruck, Austria

6. University of Innsbruck, Austria and PH3 GmbH, Austria

7. PH3 GmbH, Austria

8. E4 Computer Engineering SpA, Italy

9. Dompé Farmaceutici Spa, Italy

Funder

Erasmus+

EuroHPC

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3624062.3624261

Reference46 articles.

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3. Andrea R Beccari , Carlo Cavazzoni , Claudia Beato, and Gabriele Costantino. 2013 . LiGen : a high performance workflow for chemistry driven de novo design. Andrea R Beccari, Carlo Cavazzoni, Claudia Beato, and Gabriele Costantino. 2013. LiGen: a high performance workflow for chemistry driven de novo design.

4. Survey of public domain software for docking simulations and virtual screening

5. Urgent computing for decision support in critical situations