Computing
Parent: Computing Sciences
eScholarship stats: Breakdown by Item for June through September, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 7298g7m9 | A Guide to Using GitHub for Developing and Versioning Data Standards and Reporting Formats | 1,041 | 886 | 155 | 85.1% |
| 2sr9m6gk | Parameter Analysis of the VPIN (Volume synchronized Probability of Informed Trading) Metric | 740 | 123 | 617 | 16.6% |
| 9wp5j0dq | Nuclear Physics Exascale Requirements Review: An Office of Science review sponsored jointly by Advanced Scientific Computing Research and Nuclear Physics, June 15 - 17, 2016, Gaithersburg, Maryland | 581 | 486 | 95 | 83.6% |
| 6vb1r6c3 | PeleC: An adaptive mesh refinement solver for compressible reacting flows | 423 | 55 | 368 | 13.0% |
| 28b779q1 | The TOP500 List and Progress in High-Performance Computing | 334 | 275 | 59 | 82.3% |
| 3nx4d18c | Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data | 299 | 177 | 122 | 59.2% |
| 0x7138n5 | Unmatched: 50 Years of Supercomputing, A Personal Journey Accompanying the Evolution of a Powerful Tool | 290 | 243 | 47 | 83.8% |
| 7hk9g5d3 | QUANT-NET: A testbed for quantum networking research over deployed fiber | 289 | 170 | 119 | 58.8% |
| 2xf0f1dj | The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data | 282 | 204 | 78 | 72.3% |
| 8qb0p7j7 | Distributed Acoustic Sensing Using Dark Fiber for Near-Surface Characterization and Broadband Seismic Event Detection | 273 | 118 | 155 | 43.2% |
| 3vf1w91z | Report of the DOE Workshop on Management, Analysis, and Visualization of Experimental and Observational data – The Convergence of Data and Computing | 271 | 151 | 120 | 55.7% |
| 02x259pf | Randomized Algorithms for Scientific Computing (RASC) | 249 | 174 | 75 | 69.9% |
| 3q12x1gh | Perspectives for self-driving labs in synthetic biology | 244 | 74 | 170 | 30.3% |
| 1203r78b | An extensible control plane software architecture for quantum networking research | 232 | 81 | 151 | 34.9% |
| 3t75f0qg | Performance characterization of scientific workflows for the optimal use of Burst Buffers | 225 | 89 | 136 | 39.6% |
| 0t36p3hn | Lambda Architecture for Cost-Effective Batch and Speed Big Data Processing | 213 | 173 | 40 | 81.2% |
| 8kf319cb | A taxonomy of constraints in black-box simulation-based optimization | 204 | 117 | 87 | 57.4% |
| 97d284ps | Machine learning-based Analysis of COVID-19 Pandemic Impact on US Research Networks | 192 | 149 | 43 | 77.6% |
| 0550p5hf | Operator-level quantum acceleration of non-logconcave sampling | 191 | 108 | 83 | 56.5% |
| 3b80v6zt | International Neuroscience Initiatives Through the Lens of High-Performance Computing | 190 | 141 | 49 | 74.2% |
| 61j6m742 | 2019 Computing Sciences Strategic Plan | 188 | 135 | 53 | 71.8% |
| 5wx7q92m | A Two-Level Control Framework for Quantum Networks | 182 | 108 | 74 | 59.3% |
| 12z7x7hj | A Class of Sparse Johnson–Lindenstrauss Transforms and Analysis of their Extreme Singular Values | 180 | 94 | 86 | 52.2% |
| 3qd4z7b0 | AmeriFlux BASE data pipeline to support network growth and data sharing | 174 | 59 | 115 | 33.9% |
| 3gr340t0 | Designing a Framework for Solving Multiobjective Simulation Optimization Problems | 170 | 59 | 111 | 34.7% |
| 9fg8k5xh | ESnet Requirements Review Program Through the IRI Lens: A Meta-Analysis of Workflow Patterns Across DOE Office of Science Programs (Final Report) | 170 | 95 | 75 | 55.9% |
| 44c6z7w9 | Portable, heterogeneous ensemble workflows at scale using libEnsemble | 167 | 72 | 95 | 43.1% |
| 1507s9df | Effectiveness and predictability of in-network storage cache for Scientific Workflows | 165 | 99 | 66 | 60.0% |
| 1ds6v8ww | Challenging problems of quality assurance and quality control (QA/QC) of meteorological time series data | 164 | 54 | 110 | 32.9% |
| 2jp1s60h | The Colorado East River Community Observatory Data Collection | 159 | 51 | 108 | 32.1% |
| 35z8t8gn | The Early Years and Evolution of the DOE Computational Science Graduate Fellowship Program | 153 | 81 | 72 | 52.9% |
| 63f2185k | Long-term missing value imputation for time series data using deep neural networks | 149 | 81 | 68 | 54.4% |
| 4sf7n3pc | Nuclear Physics Network Requirements Review: One-Year Update | 148 | 102 | 46 | 68.9% |
| 3sq2921c | Central Finite-Difference Based Gradient Estimation Methods for Stochastic Optimization | 147 | 58 | 89 | 39.5% |
| 69v071q7 | Numerical evidence against advantage with quantum fidelity kernels on classical data | 142 | 95 | 47 | 66.9% |
| 59m140sn | Experiences with User-Centered Design for the Tigres Workflow API | 141 | 69 | 72 | 48.9% |
| 0047q4b2 | High-Performance Computational Intelligence and Forecasting Technologies | 138 | 54 | 84 | 39.1% |
| 3nw2w949 | An a priori evaluation of a principal component and artificial neural network based combustion model in diesel engine conditions | 137 | 66 | 71 | 48.2% |
| 1ff5n861 | An MPI implementation of the SPAI preconditioner on the T3E | 136 | 85 | 51 | 62.5% |
| 8nb5w553 | Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats | 135 | 64 | 71 | 47.4% |
| 4d82175t | Utilizing Interdisciplinary Strategies for Next Generation Ecosystem Experiments Tropics Data Organization | 134 | 37 | 97 | 27.6% |
| 6nf470xc | Bandwidth Enables Generalization in Quantum Kernel Models | 133 | 57 | 76 | 42.9% |
| 5z934420 | Advances in Cross-Cutting Ideas for Computational Climate Science | 132 | 88 | 44 | 66.7% |
| 2d43x0c7 | Randomized Algorithms for Scientific Computing (RASC) | 128 | 110 | 18 | 85.9% |
| 8k04199v | ReMU: regional minimal updating for model-based derivative-free optimization | 128 | 15 | 113 | 11.7% |
| 1qs17737 | The future low-temperature geochemical data-scape as envisioned by the U.S. geochemical community | 127 | 34 | 93 | 26.8% |
| 72q0r6wd | Sequential Bayesian experimental design for calibration of expensive simulation models | 127 | 0 | 127 | 0.0% |
| 8pv153t1 | Adaptive dimension reduction for clustering high dimensional data | 127 | 32 | 95 | 25.2% |
| 4mj3d1jb | The MyESnet Portal: Making the Network Visible | 124 | 43 | 81 | 34.7% |
| 81v261jh | PageRank, HITS and a unified framework for link analysis | 114 | 50 | 64 | 43.9% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.