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ORCIDDaniel Mejia 0003
Person information
- affiliation: Purdue University, Network for Computational Nanotechnology Cyber Node, IN, USA
Other persons with the same name
- Daniel Mejia 0001
![[0000-0002-8126-0546]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8126-0546")
(aka: Daniel Mejia-Parra) — Universidad EAFIT, Laboratorio de CAD CAM CAE, Medellín, Colombia (and 1 more) - Daniel Mejia 0002 — University of Texas at El Paso, Department of Computer Science, College of Engineering, TX, USA
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Books and Theses
- 2018
[b1]Daniel Felipe Mejia Padilla:
Visual Analytics to Support Atomistic Simulations Design. Purdue University, USA, 2018
Conference and Workshop Papers
- 2021
- [c3]Joe Stubbs, Suresh Marru, Daniel Mejia, John-Paul Navarro, Eric Franz, Steve Black, Dimuthu Wannipurage, Sudhakar Pamidighantam, Claire Stirm, Maytal Dahan, Marlon E. Pierce, Michael G. Zentner:
Common Resource Descriptions for Interoperable Gateway Cyberinfrastructure. PEARC 2021: 20:1-20:9 - 2020
- [c2]Joe Stubbs, Suresh Marru, Daniel Mejia, Daniel S. Katz, Kyle Chard, Maytal Dahan, Marlon E. Pierce, Michael G. Zentner:
Toward Interoperable Cyberinfrastructure: Common Descriptions for Computational Resources and Applications. PEARC 2020: 522-525 - 2015
- [c1]Krishna P. C. Madhavan, Daniel F. Mejia, Hanjun Xian, Lynn K. Zentner, Victoria A. Farnsworth, Swaroop Samek, Gerhard Klimeck:
Interactive Analytic Systems for Understanding the Scholarly Impact of Large-Scale E-science Cyberenvironments. e-Science 2015: 288-291
Informal and Other Publications
- 2021
- [i4]Joe Stubbs, Suresh Marru, Daniel Mejia, Daniel S. Katz, Kyle Chard, Maytal Dahan, Marlon E. Pierce, Michael G. Zentner:
Toward Interoperable Cyberinfrastructure: Common Descriptions for Computational Resources and Applications. CoRR abs/2107.00417 (2021) - [i3]Martin Hunt, Steven Clark, Daniel Mejia, Saaketh Desai, Alejandro Strachan:
Sim2Ls: FAIR simulation workflows and data. CoRR abs/2110.06886 (2021) - 2017
- [i2]Gustavo A. Valencia-Zapata, Daniel Mejia, Gerhard Klimeck, Michael G. Zentner, Okan K. Ersoy:
A Statistical Approach to Increase Classification Accuracy in Supervised Learning Algorithms. CoRR abs/1709.01439 (2017) - 2015
- [i1]Robert Andrawis, José David Bermeo, James Charles, Jianbin Fang, Jim Fonseca, Yu He, Gerhard Klimeck, Zhengping Jiang, Tillmann Kubis, Daniel F. Mejia, Daniel Lemus, Michael Povolotskyi, Santiago Alonso Pérez-Rubiano, Prasad Sarangapani, Lang Zeng:
NEMO5: Achieving High-end Internode Communication for Performance Projection Beyond Moore's Law. CoRR abs/1510.04686 (2015)
Coauthor Index
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