Computing
Parent: Computing Sciences
eScholarship stats: Breakdown by Item for April through July, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 7298g7m9 | A Guide to Using GitHub for Developing and Versioning Data Standards and Reporting Formats | 1,273 | 1,123 | 150 | 88.2% |
| 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 | 753 | 669 | 84 | 88.8% |
| 2sr9m6gk | Parameter Analysis of the VPIN (Volume synchronized Probability of Informed Trading) Metric | 614 | 132 | 482 | 21.5% |
| 5cg43163 | Extended Fayans energy density functional: optimization and analysis | 594 | 49 | 545 | 8.2% |
| 3vf1w91z | Report of the DOE Workshop on Management, Analysis, and Visualization of Experimental and Observational data – The Convergence of Data and Computing | 393 | 187 | 206 | 47.6% |
| 7hk9g5d3 | QUANT-NET: A testbed for quantum networking research over deployed fiber | 383 | 209 | 174 | 54.6% |
| 0x7138n5 | Unmatched: 50 Years of Supercomputing, A Personal Journey Accompanying the Evolution of a Powerful Tool | 363 | 310 | 53 | 85.4% |
| 02x259pf | Randomized Algorithms for Scientific Computing (RASC) | 351 | 230 | 121 | 65.5% |
| 3nx4d18c | Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data | 324 | 186 | 138 | 57.4% |
| 3q12x1gh | Perspectives for self-driving labs in synthetic biology | 314 | 115 | 199 | 36.6% |
| 2xf0f1dj | The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data | 304 | 206 | 98 | 67.8% |
| 6vb1r6c3 | PeleC: An adaptive mesh refinement solver for compressible reacting flows | 273 | 61 | 212 | 22.3% |
| 8qb0p7j7 | Distributed Acoustic Sensing Using Dark Fiber for Near-Surface Characterization and Broadband Seismic Event Detection | 249 | 128 | 121 | 51.4% |
| 3qd4z7b0 | AmeriFlux BASE data pipeline to support network growth and data sharing | 248 | 89 | 159 | 35.9% |
| 8kf319cb | A taxonomy of constraints in black-box simulation-based optimization | 246 | 134 | 112 | 54.5% |
| 9fg8k5xh | ESnet Requirements Review Program Through the IRI Lens: A Meta-Analysis of Workflow Patterns Across DOE Office of Science Programs (Final Report) | 246 | 137 | 109 | 55.7% |
| 1507s9df | Effectiveness and predictability of in-network storage cache for Scientific Workflows | 243 | 164 | 79 | 67.5% |
| 61j6m742 | 2019 Computing Sciences Strategic Plan | 242 | 162 | 80 | 66.9% |
| 0t36p3hn | Lambda Architecture for Cost-Effective Batch and Speed Big Data Processing | 232 | 177 | 55 | 76.3% |
| 3gj8s19k | LOW MACH NUMBER MODELING OF CONVECTION IN HELIUM SHELLS ON SUB-CHANDRASEKHAR WHITE DWARFS. II. BULK PROPERTIES OF SIMPLE MODELS | 229 | 167 | 62 | 72.9% |
| 12z7x7hj | A Class of Sparse Johnson–Lindenstrauss Transforms and Analysis of their Extreme Singular Values | 228 | 108 | 120 | 47.4% |
| 2d43x0c7 | Randomized Algorithms for Scientific Computing (RASC) | 228 | 190 | 38 | 83.3% |
| 63f2185k | Long-term missing value imputation for time series data using deep neural networks | 214 | 134 | 80 | 62.6% |
| 1203r78b | An extensible control plane software architecture for quantum networking research | 211 | 118 | 93 | 55.9% |
| 5wx7q92m | A Two-Level Control Framework for Quantum Networks | 209 | 90 | 119 | 43.1% |
| 3b80v6zt | International Neuroscience Initiatives Through the Lens of High-Performance Computing | 206 | 159 | 47 | 77.2% |
| 2jp1s60h | The Colorado East River Community Observatory Data Collection | 203 | 82 | 121 | 40.4% |
| 3gr340t0 | Designing a Framework for Solving Multiobjective Simulation Optimization Problems | 202 | 76 | 126 | 37.6% |
| 0550p5hf | Operator-level quantum acceleration of non-logconcave sampling | 201 | 125 | 76 | 62.2% |
| 3t75f0qg | Performance characterization of scientific workflows for the optimal use of Burst Buffers | 193 | 124 | 69 | 64.2% |
| 4d82175t | Utilizing Interdisciplinary Strategies for Next Generation Ecosystem Experiments Tropics Data Organization | 193 | 65 | 128 | 33.7% |
| 28b779q1 | The TOP500 List and Progress in High-Performance Computing | 192 | 115 | 77 | 59.9% |
| 1ds6v8ww | Challenging problems of quality assurance and quality control (QA/QC) of meteorological time series data | 189 | 76 | 113 | 40.2% |
| 69v071q7 | Numerical evidence against advantage with quantum fidelity kernels on classical data | 185 | 135 | 50 | 73.0% |
| 6tp8n25g | BASIN-3D: A brokering framework to integrate diverse environmental data | 184 | 65 | 119 | 35.3% |
| 0047q4b2 | High-Performance Computational Intelligence and Forecasting Technologies | 183 | 79 | 104 | 43.2% |
| 8gs7k78f | Transport control networking | 183 | 53 | 130 | 29.0% |
| 97d284ps | Machine learning-based Analysis of COVID-19 Pandemic Impact on US Research Networks | 183 | 139 | 44 | 76.0% |
| 8pv153t1 | Adaptive dimension reduction for clustering high dimensional data | 181 | 55 | 126 | 30.4% |
| 8pj0n2v2 | FABRIC: A National-Scale Programmable Experimental Network Infrastructure | 172 | 75 | 97 | 43.6% |
| 5z934420 | Advances in Cross-Cutting Ideas for Computational Climate Science | 171 | 112 | 59 | 65.5% |
| 9wr5396s | A broad exploration of nonlinear dynamics in microbial systems motivated by chemostat experiments producing deterministic chaos. | 171 | 76 | 95 | 44.4% |
| 1gz0p9z4 | Stochastic Trust-Region Algorithm in Random Subspaces with Convergence and Expected Complexity Analyses | 170 | 93 | 77 | 54.7% |
| 87z3114q | Thick-Restart Lanczos Method for Symmetric Eigenvalue Problems | 166 | 71 | 95 | 42.8% |
| 86p5d4sz | Hunting Data Rogues at Scale: Data Quality Control for Observational Data in Research Infrastructures | 164 | 95 | 69 | 57.9% |
| 35z8t8gn | The Early Years and Evolution of the DOE Computational Science Graduate Fellowship Program | 163 | 71 | 92 | 43.6% |
| 4sf7n3pc | Nuclear Physics Network Requirements Review: One-Year Update | 162 | 100 | 62 | 61.7% |
| 6nf470xc | Bandwidth Enables Generalization in Quantum Kernel Models | 162 | 95 | 67 | 58.6% |
| 81v261jh | PageRank, HITS and a unified framework for link analysis | 161 | 64 | 97 | 39.8% |
| 59m140sn | Experiences with User-Centered Design for the Tigres Workflow API | 159 | 75 | 84 | 47.2% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.