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Prasanna Balaprakash

united states department of energy (doe)

32H-index
293Paper Count
3.9KCitation Count
Published Papers 41
Publication Date
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Modelling the dynamics of learning continually with graph neural networks
errPHYSICA D-NONLINEAR PHENOMENA
IF2.9
err2026-05-23
err0
PREAI
errRaghavan, Krishnan; Balaprakash, Prasanna
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Comparing Llama-2 and GPT-3 LLMs for HPC Kernels Generation
errLANGUAGES AND COMPILERS FOR PARALLEL COMPUTING, LCPC 2023
IF0
err2026-01-01
err0
PREAI
errValero-Lara, Pedro; Huante, Alexis; Al Lail, Mustafa; Godoy, William F.; Teranishi, Keita; Balaprakash, Prasanna; Vetter, Jeffrey S.
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Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions
errHIGH PERFORMANCE COMPUTING WORKSHOPS, ISC HIGH PERFORMANCE 2025 INTERNATIONAL WORKSHOPS
IF0
err2026-01-01
err0
PREAI
errTeranishi, Keita; Menon, Harshitha; Godoy, William F.; Balaprakash, Prasanna; Bau, David; Ben-Nun, Tal; Bhatele, Abhinav; Franchetti, Franz; Franusich, Michael; Gamblin, Todd; Georgakoudis, Giorgis; Goldstein, Tom; Guha, Arjun; Hahn, Steven E.; Iancu, Costin; Jin, Zheming; Jones, Terry; Low, Tze Meng; Mankad, Het; Miniskar, Narasinga Rao; Monil, Mohammad Alaul Haque; Nichols, Daniel; Parasyris, Konstantinos; Pophale, Swaroop; Valero-Lara, Pedro; Vetter, Jeffrey S.; Williams, Samuel; Young, Aaron
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Sequence length scaling in vision transformers for scientific images on frontier
errThe International Journal of High Performance Computing Applications
IF0
err2025-11-19
err0
PREAI
errAristeidis Tsaris; Chengming Zhang; Xiao Wang; Junqi Yin; Siyan Liu; Moetasim Ashfaq; Ming Fan; Jong Youl Choi; Mohamed Wahib; Dan Lu; Prasanna Balaprakash; Feiyi Wang
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Toward a Generalizable Prediction Model of Molten Salt Mixture Density with Chemistry-Informed Transfer Learning
errCHEMPHYSCHEM
IF2.2
err2025-10-01
err0
errOAAI
errBarra, Julian; Shahbazi, Shayan; Birri, Anthony; Chahal, Rajni; Isah, Ibrahim; Anwar, Muhammad Nouman; Starkus, Tyler; Balaprakash, Prasanna; Lam, Stephen
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Spatiotemporal forecasting of the edge localized modes in tokamak plasmas using neural networks
errmachine learning science and technology
IF0
err2025-08-26
err0
errOAAI
errAnirban Samaddar; Qian Gong; Sandeep Madireddy; Christopher Hansen; Semin Joung; David R Smith; Yixuan Sun; Fatima Ebrahimi; Prasanna Balapraksh; Andrew Oakleigh Nelson
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errSave
Bayesian Optimized Deep Ensemble for Uncertainty Quantification of Deep Neural Networks: a System Safety Case Study on Sodium Fast Reactor Thermal Stratification Modeling
errReliability Engineering & System Safety
IF11
err2025-06-21
err0
errOAAI
errZaid Abulawi; Rui Hu; Prasanna Balaprakash; Yang Liu
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SWARM: Reimagining scientific workflow management systems in a distributed world
errINTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS
IF2.5
err2025-05-15
err0
PREAI
errPrasanna Balaprakash; Krishnan Raghavan; Franck Cappello; Ewa Deelman; Anirban Mandal; Hongwei Jin; Imtiaz Mahmud; Komal Thareja; Shixun Wu; Pawel Zuk; Mariam Kiran; Zizhong Chen; Sheng Di; Kesheng Wu
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Advancing anomaly detection in computational workflows with active learning
errFUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
IF6.1
err2025-05-01
err0
errOAAI
errRaghavan, Krishnan; Papadimitriou, George; Jin, Hongwei; Mandal, Anirban; Kiran, Mariam; Balaprakash, Prasanna; Deelman, Ewa
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Scalable training of trustworthy and energy-efficient predictive graph foundation models for atomistic materials modeling: a case study with HydraGNN
errJOURNAL OF SUPERCOMPUTING
IF2.7
err2025-03-14
err0
errOAAI
errPasini, Massimiliano Lupo; Choi, Jong Youl; Mehta, Kshitij; Zhang, Pei; Rogers, David; Bae, Jonghyun; Ibrahim, Khaled Z.; Aji, Ashwin M.; Schulz, Karl W.; Polo, Jorda; Balaprakash, Prasanna
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Revisiting the problem of learning long-term dependencies in recurrent neural networks
errNEURAL NETWORKS
IF6.3
err2025-03-01
err0
PREAI
errJohnston, Liam; Patel, Vivak; Cui, Yumian; Balaprakash, Prasanna
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A Gradient-Aware Search Algorithm for Constrained Markov Decision Processes
errIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF8.9
err2024-12-01
err0
errOAAI
errKhairy, Sami; Balaprakash, Prasanna; Cai, Lin X.
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errSave
Integrating ytopt and libEnsemble to autotune OpenMC
errINTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS
IF2.5
err2024-10-07
err1
errOAAI
errWu, Xingfu; Tramm, John R.; Larson, Jeffrey; Navarro, John-Luke; Balaprakash, Prasanna; Videau, Brice; Kruse, Michael; Hovland, Paul; Taylor, Valerie; Hall, Mary
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errSave
Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations
errFUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
IF6.1
err2024-10-01
err0
errOAAI
errLiu, Xin; Ruettgers, Mario; Quercia, Alessio; Egele, Romain; Pfaehler, Elisabeth; Shende, Rushikesh; Aach, Marcel; Schroeder, Wolfgang; Balaprakash, Prasanna; Lintermann, Andreas
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Physics-informed heterogeneous graph neural networks for DC blocker placement
errELECTRIC POWER SYSTEMS RESEARCH
IF4.2
err2024-10-01
err0
errOAAI
errJin, Hongwei; Balaprakash, Prasanna; Zou, Allen; Ghysels, Pieter; Krishnapriyan, Aditi S.; Mate, Adam; Barnes, Arthur; Bent, Russell
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The unreasonable effectiveness of early discarding after one epoch in neural network hyperparameter optimization
errNEUROCOMPUTING
IF6.5
err2024-09-01
err4
errOAAI
errEgele, Romain; Mohr, Felix; Viering, Tom; Balaprakash, Prasanna
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errSave
Multi-fidelity reinforcement learning with control variates
errNEUROCOMPUTING
IF6.5
err2024-09-01
err0
errOAAI
errKhairy, Sami; Balaprakash, Prasanna
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errSave
Uncertainty Quantification for Traffic Forecasting Using Deep-Ensemble-Based Spatiotemporal Graph Neural Networks
errIEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
IF8.4
err2024-08-01
err2
PREAI
errMallick, Tanwi; Macfarlane, Jane; Balaprakash, Prasanna
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Machine-learning-aided density functional theory calculations of stacking fault energies in steel
errSCRIPTA MATERIALIA
IF5.6
err2024-03-01
err3
errOAAI
errSamanta, Amit; Balaprakash, Prasanna; Aubry, Sylvie; Lin, Brian K.
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Uncertainty quantification for molecular property predictions with graph neural architecture search
errDIGITAL DISCOVERY
IF5.6
err2024-01-01
err1
errOAAI
errJiang, Shengli; Qin, Shiyi; Van Lehn, Reid C.; Balaprakash, Prasanna; Zavala, Victor M.
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Research Directions

No research directions
Co-authors
Cooperation Journals
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Jack Dongarra
H-index: 112 · Papers: 2.1K
M
Marco Dorigo
H-index: 102 · Papers: 619
J
James H. Doroshow
H-index: 97 · Papers: 1.4K
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