Roland Haas

28 papers A* 1Journal 20Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Machine Learning-Driven Conservative-to-Primitive Conversion in Hybrid Piecewise Polytropic and Tabulated Equations of State.
Symmetry
Semih Kacmaz, Roland Haas, Eliu A. Huerta
2025 J jnl
Resolving Turbulent Magnetohydrodynamics: A Hybrid Operator-Diffusion Framework.
CoRR
Semih Kacmaz, Eliu A. Huerta, Roland Haas
2025 J jnl
Resolving turbulent magnetohydrodynamics: a hybrid operator-diffusion framework.
Mach. Learn. Sci. Technol.
Semih Kacmaz, Eliu A. Huerta, Roland Haas
2024 J jnl
AI-driven Conservative-to-Primitive Conversion in Hybrid Piecewise Polytropic and Tabulated Equations of State.
CoRR
Semih Kacmaz, Roland Haas, Eliu A. Huerta
2024 J jnl
General Relativistic Stability and Gravitational Wave Content of Rotating Triaxial Neutron Stars.
Symmetry
Yufeng Luo, Antonios Tsokaros, Roland Haas, Koji Uryu
2024 A* conf
SciCode: A Research Coding Benchmark Curated by Scientists.
NeurIPS
Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang, Xinan Chen, Cunwei Fan, Xuefei Guo, Roland Haas, Pan Ji, Kittithat Krongchon, Yao Li, Shengyan Liu, Di Luo, Yutao Ma, Hao Tong, Kha Trinh, Chenyu Tian, Zihan Wang, Bohao Wu, Shengzhu Yin, Minhui Zhu, Kilian Lieret, Yanxin Lu, Genglin Liu, Yufeng Du, Tianhua Tao, Ofir Press, Jamie Callan, Eliu A. Huerta, Hao Peng
2024 J jnl
SciCode: A Research Coding Benchmark Curated by Scientists.
CoRR
Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang, Xinan Chen, Cunwei Fan, Xuefei Guo, Roland Haas, Pan Ji, Kittithat Krongchon, Yao Li, Shengyan Liu, Di Luo, Yutao Ma, Hao Tong, Kha Trinh, Chenyu Tian, Zihan Wang, Bohao Wu, Yanyu Xiong, Shengzhu Yin, Minhui Zhu, Kilian Lieret, Yanxin Lu, Genglin Liu, Yufeng Du, Tianhua Tao, Ofir Press, Jamie Callan, Eliu A. Huerta, Hao Peng
2023 J jnl
APACE: AlphaFold2 and advanced computing as a service for accelerated discovery in biophysics.
CoRR
Hyun Park, Parth Patel, Roland Haas, Eliu A. Huerta
2023 J jnl
HPC-driven computational reproducibility.
CoRR
Yufeng Luo, Qian Zhang, Roland Haas, Zachariah B. Etienne, Gabrielle Allen
2022 — conf
Cyberattacks in agribusiness.
GIL Jahrestagung
Christa Hoffmann, Roland Haas, Nidhish Bhimrajka, Naga Srihith Penjarla
2021 J jnl
Solving the Bethe-Salpeter equation on massively parallel architectures.
Comput. Phys. Commun.
Xiao Zhang, Sebastian Achilles, Jan Winkelmann, Roland Haas, André Schleife, Edoardo Di Napoli
2020 J jnl
DataVault: A Data Storage Infrastructure for the Einstein Toolkit.
CoRR
Yufeng Luo, Roland Haas, Qian Zhang, Gabrielle Allen
2020 J jnl
Solving the Bethe-Salpeter equation on massively parallel architectures.
CoRR
Xiao Zhang, Sebastian Achilles, Jan Winkelmann, Roland Haas, André Schleife, Edoardo Di Napoli
2019 J jnl
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.
CoRR
Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Anushri Gupta, Roland Haas, Eliu A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, Mark S. Neubauer, Steve Oberlin, Alexander Reinefeld, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta Miksztai-Réthey, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao
2019 J jnl
Enabling real-time multi-messenger astrophysics discoveries with deep learning.
CoRR
Eliu A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Márka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark S. Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao
2019 J jnl
Supporting High-Performance and High-Throughput Computing for Experimental Science.
Comput. Softw. Big Sci.
Eliu A. Huerta, Roland Haas, Shantenu Jha, Mark S. Neubauer, Daniel S. Katz
2019 J jnl
The Physics of Eccentric Binary Black Hole Mergers. A Numerical Relativity Perspective.
CoRR
Eliu A. Huerta, Roland Haas, Sarah Habib, Anushri Gupta, Adam Rebei, Vishnu Chavva, Daniel Johnson, Shawn Rosofsky, Erik Wessel, Bhanu Agarwal, Diyu Luo, Wei Ren
2019 — conf
The PreSync Project: Synchronization Automation in the Cactus Framework.
PEARC
Samuel Cupp, Steven R. Brandt, Roland Haas
2018 — conf
Container solutions for HPC Systems: A Case Study of Using Shifter on Blue Waters.
PEARC
Maxim Belkin, Roland Haas, Galen Wesley Arnold, Hon Wai Leong, Eliu A. Huerta, David Lesny, Mark S. Neubauer
2018 J jnl
Container solutions for HPC Systems: A Case Study of Using Shifter on Blue Waters.
CoRR
Maxim Belkin, Roland Haas, Galen Wesley Arnold, Hon Wai Leong, Eliu A. Huerta, David Lesny, Mark S. Neubauer
2018 J jnl
Supporting High-Performance and High-Throughput Computing for Experimental Science.
CoRR
Eliu A. Huerta, Roland Haas, Shantenu Jha, Mark S. Neubauer, Daniel S. Katz
2017 — conf
BOSS-LDG: A Novel Computational Framework That Brings Together Blue Waters, Open Science Grid, Shifter and the LIGO Data Grid to Accelerate Gravitational Wave Discovery.
eScience
Eliu A. Huerta, Roland Haas, Edgar Fajardo Hernandez, Daniel S. Katz, Stuart Anderson, Peter Couvares, Josh Willis, Timothy Bouvet, Jeremy Enos, William T. C. Kramer, Hon Wai Leong, David Wheeler
2017 J jnl
BOSS-LDG: A Novel Computational Framework that Brings Together Blue Waters, Open Science Grid, Shifter and the LIGO Data Grid to Accelerate Gravitational Wave Discovery.
CoRR
Eliu A. Huerta, Roland Haas, Edgar Fajardo Hernandez, Daniel S. Katz, Stuart Anderson, Peter Couvares, Josh Willis, Timothy Bouvet, Jeremy Enos, William T. C. Kramer, Hon Wai Leong, David Wheeler
2017 J jnl
ENIGMA: Eccentric, Non-spinning, Inspiral Gaussian-process Merger Approximant for the characterization of eccentric binary black hole mergers.
CoRR
Eliu A. Huerta, C. J. Moore, Prayush Kumar, Daniel George, Alvin J. K. Chua, Roland Haas, Erik Wessel, Daniel Johnson, Derek Glennon, Adam Rebei, A. Miguel Holgado, Jonathan R. Gair, Harald P. Pfeiffer
2017 J jnl
Python Open Source Waveform Extractor (POWER): An open source, Python package to monitor and post-process numerical relativity simulations.
CoRR
Daniel Johnson, Eliu A. Huerta, Roland Haas
2009 — conf
Dynamic Character Animation Based on User?s Motion on Pressure Pad.
CGVR
Bindu Reddy, Harshal Sawant, Archana Patil, Roland Haas
2003 — conf
P2P Meeting Tool - A Peer to Peer Pervasive Computing Application.
GI Jahrestagung (1)
Sanjib Gosh, Gabriel Vögler, Thomas Flor, Walter Niess, Roland Haas, Boda Gupta
2000 — conf
Capturing and reusing design rationales in modeling, simulation and control.
ESM
Roland Haas