EH
E. A. Huerta
gr-qcastro-ph.HEastro-ph.IMcs.LGcs.AIastro-ph.COcs.DCphysics.comp-phcond-mat.mtrl-sciastro-ph.GA
On Valency
published · living versionsW_br2s7but·v1 · currentpublished
Modeling the uncertainties of solar-system ephemerides for robust gravitational-wave searches with pulsar timing arrays
with M. Vallisneri, S. R. Taylor, J. Simon, W. M. Folkner +59
1 version
W_vreyjxmz·v1published
W_uhdjjvz9·v1published
W_cqr4u993·v1published
Preprints & journals
213 papers in the corpus · 2006–2026Democratizing Atomistic Simulation Workflows for the AI Era with the Quantum Accelerator2609.33823v1 · Andrew S. Rosen, Naisargi Goyal, Brad Ayers et al.2026 · 0 citationsarXiv
Toward Autonomous Radio Follow-up of Multi-messenger Transients with RADAR: From Alert Parsing to Inference and Observation Scheduling2609.18233v1 · Mihael Hategan-Marandiuc, Tanner O'Dwyer, Alessandra Corsi et al.2026 · 0 citationsarXiv
The convergent laboratory: when AI reasoning, autonomous experiments, high performance and quantum computing reshape chemistry2609.05643v1 · Eliu Huerta, Xiaoyun Wang, Geetika Gupta et al.2026 · 0 citationsarXivon Valency
FABRICA: Agentic CUDA-to-CSL Translation and Optimization for Wafer-Scale Systems2608.25124v1 · Yuebo Luo, Eliu Huerta, Venkatram Vishwanath et al.2026 · 0 citationsarXiv
Wrong but Useful: Trajectory Value Beyond Answer Correctness in Multi-Agent Messages2608.14375v1 · Chih-Hsuan Yang, Anjir Ahmed Chowdhury, Cheng-Hau Yang et al.2026 · 0 citationsarXiv
Precise but Uncoupled: Reviewer Precision Does Not Guarantee Critique Uptake in Multi-Agent Math Reasoning2607.15388v1 · Chih-Hsuan Yang, Jingyan Jiang, Vikram Vasudevan et al.2026 · 0 citationsarXiv
Data-Driven Discovery of Structure–Reactivity Relationships in Oxidative Addition at Zerovalent Nickel Centers10.26434/chemrxiv.15004105/v2 · Sarah N. Elliott, Rosmi Reji, Qingzhi Chen et al.2026 · 0 citationsChemRxiv
RoPE Distinguishes Neither Positions Nor Tokens in Long Contexts, Provably2605.15514v1 · Yufeng Du, Phillip Harris, Minyang Tian et al.2026 · 0 citationsarXiv
From Atomistic Models to Machine Learning: Predictive Design of Nanocarbons under Extreme Conditions2603.18316v1 · Xiaoli Yan, Millicent A. Firestone, Murat Keceli et al.2026 · 2 citationsXiaoli Yan, Millicent A. Firestone, Murat Keceli, Santanu Chaudhuri, Eliu Huerta, From atomistic models to machine learning: Predictive design of nanocarbons under extreme conditions, Carbon, Volume 252, 2026, 121366, ISSN 0008-6223
A Practical Study of Lightweight Neural Gravitational-Wave Detection in Real LIGO Noise: Models, Ablations, and Open Software2512.12513v2 · Victoria Tiki, Eliu Huerta2025 · 0 citationsarXiv
Context Length Alone Hurts LLM Performance Despite Perfect Retrieval2510.05381v1 · Yufeng Du, Minyang Tian, Srikanth Ronanki et al.2025 · 40 citationsarXiv
Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark2509.26574v4 · Minhui Zhu, Minyang Tian, Xiaocheng Yang et al.2025 · 0 citationsarXiv
Steering an Active Learning Workflow Towards Novel Materials Discovery via Queue Prioritization2509.25538v1 · Marcus Schwarting, Logan Ward, Nathaniel Hudson et al.2025 · 0 citationsarXiv
Photochemical CO2 Reduction by a Postsynthetically Modified Zr-MOF.40882176 · Reji, Rosmi, Vizuet, Juan P, Yan, Xiaoli et al.2025 · 6 citationsInorganic chemistry. 2025;64(36):18304-18315
RADAR-Radio Afterglow Detection and AI-driven Response: A Federated Framework for Gravitational Wave Event Follow-Up2507.14827v2 · Parth Patel, Alessandra Corsi, E. A. Huerta et al.2025 · 2 citationsarXiv
Resolving Turbulent Magnetohydrodynamics: A Hybrid Operator-Diffusion Framework2507.02106v2 · Semih Kacmaz, E. A. Huerta, Roland Haas2025 · 1 citationMach. Learn.: Sci. Technol. 6 (2025) 035057
EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants2502.20309v1 · Franck Cappello, Sandeep Madireddy, Robert Underwood et al.2025 · 2 citationsarXiv
Product Selectivity in Photochemical CO2 Reduction by a Post-synthetically Modified Zr-MOF10.26434/chemrxiv-2025-jjcbv · Rosmi Reji, Juan P. Vizuet, Xiaoli Yan et al.2025 · 1 citationChemRxiv
MOFA: Discovering Materials for Carbon Capture with a GenAI- and Simulation-Based Workflow2501.10651v1 · Xiaoli Yan, Nathaniel Hudson, Hyun Park et al.2025 · 2 citationsarXiv
Enabling end-to-end secure federated learning in biomedical research on heterogeneous computing environments with APPFLx.39896264 · Hoang, Trung-Hieu, Fuhrman, Jordan, Klarqvist, Marcus et al.2025 · 16 citationsComputational and structural biotechnology journal. 2025;28:29-39
Machine learning-driven conservative-to-primitive conversion in hybrid piecewise polytropic and tabulated equations of state2412.07836v3 · Semih Kacmaz, Roland Haas, E. A. Huerta2024 · 1 citationSymmetry 2025, 17(9)
Sequence modeling of higher-order wave modes of binary black hole mergers2409.03833v2 · Victoria Tiki, Kiet Pham, Eliu Huerta2024 · 0 citationsClass. Quantum Grav. 43 (2026) 015009
APACE: AlphaFold2 and advanced computing as a service for accelerated discovery in biophysics.38913887 · Park, Hyun, Patel, Parth, Haas, Roland et al.2024 · 12 citationsProceedings of the National Academy of Sciences of the United States of America. 2024;121(27):e2311888121
Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources -- A Case Study on Federated Fine-tuning of LLaMA 22402.12271v1 · Zilinghan Li, Shilan He, Pranshu Chaturvedi et al.2024 · 7 citationsarXiv
A generative artificial intelligence framework based on a molecular diffusion model for the design of metal-organic frameworks for carbon capture.38355806 · Park, Hyun, Yan, Xiaoli, Zhu, Ruijie et al.2026 · 105 citationsCommunications chemistry. 2024;7(1):21
Waveform Modelling for the Laser Interferometer Space Antenna2311.01300v3 · Sarp Akcay, Pau Amaro Seoane, Andrea Antonelli et al.2023 · 59 citationsLiving Rev Relativ 28, 9 (2025)
AI ensemble for signal detection of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers2310.00052v2 · Minyang Tian, E. A. Huerta, Huihuo Zheng2023 · 0 citationsarXiv
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler2309.14675v2 · Zilinghan Li, Pranshu Chaturvedi, Shilan He et al.2023 · 6 citationsarXiv
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service2308.08786v1 · Zilinghan Li, Shilan He, Pranshu Chaturvedi et al.2023 · 21 citationsarXiv
Star Cluster Classification using Deep Transfer Learning with PHANGS-HST2307.15133v1 · Stephen Hannon, Bradley C. Whitmore, Janice C. Lee et al.2023 · 20 citationsarXiv
FAIR for AI: An interdisciplinary and international community building perspective.37495591 · Huerta, E A, Blaiszik, Ben, Brinson, L Catherine et al.2023 · 94 citationsScientific data. 2023;10(1):487
Physics-inspired spatiotemporal-graph AI ensemble for the detection of higher order wave mode signals of spinning binary black hole mergers2306.15728v2 · Minyang Tian, E.A. Huerta, Huihuo Zheng et al.2023 · 6 citationsMach. Learn.: Sci. Technol. 5 (2024) 025056
Magnetohydrodynamics with Physics Informed Neural Operators2302.08332v2 · Shawn G. Rosofsky, E. A. Huerta2023 · 21 citationsMach. Learn.: Sci. Technol. 4 (2023) 035002
End-to-end AI framework for interpretable prediction of molecular and crystal properties2212.11317v2 · Hyun Park, Ruijie Zhu, E. A. Huerta et al.2022 · 9 citationsMach. Learn.: Sci. Technol. 4 (2023) 025036
FAIR AI Models in High Energy Physics2212.05081v3 · Javier Duarte, Haoyang Li, Avik Roy et al.2022 · 12 citationsMach. Learn.: Sci. Technol. 4 (2023) 045062
FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy.36357431 · Ravi, Nikil, Chaturvedi, Pranshu, Huerta, E A et al.2022 · 54 citationsScientific data. 2022;9(1):657
Numerical relativity higher order gravitational waveforms of eccentric, spinning, non-precessing binary black hole mergers2210.01852v2 · Abhishek V. Joshi, Shawn G. Rosofsky, Roland Haas et al.2022 · 16 citationsPhys. Rev. D 107, 064038 (2023)
MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge2209.11146v1 · Marlin B. Schafer, Ondrej Zelenka, Alexander H. Nitz et al.2022 · 64 citationsarXiv
Applications of physics informed neural operators2203.12634v2 · Shawn G. Rosofsky, Hani Al Majed, E. A. Huerta2022 · 51 citationsMach. Learn.: Sci. Technol. 4 (2023) 025022
Inference-Optimized AI and High Performance Computing for Gravitational Wave Detection at Scale.35252850 · Chaturvedi, Pranshu, Khan, Asad, Tian, Minyang et al.2023 · 30 citationsFrontiers in artificial intelligence. 2022;5:828672
Interpreting a Machine Learning Model for Detecting Gravitational Waves2202.07399v1 · Mohammadtaher Safarzadeh, Asad Khan, E. A. Huerta et al.2022 · 0 citationsarXiv
A FAIR and AI-ready Higgs boson decay dataset.35165298 · Chen, Yifan, Huerta, E A, Duarte, Javier et al.2024 · 33 citationsScientific data. 2022;9(1):31
AI and extreme scale computing to learn and infer the physics of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers2112.07669v2 · Asad Khan, E.A. Huerta, Prayush Kumar2021 · 6 citationsPhysics Letters B, Volume 835, 10 December 2022, 137505
Interpretable AI forecasting for numerical relativity waveforms of quasi-circular, spinning, non-precessing binary black hole mergers2110.06968v2 · Asad Khan, E. A. Huerta, Huihuo Zheng2021 · 16 citationsPhys. Rev. D 105, 024024 (2022)
Star Cluster Classification in the PHANGS-HST Survey: Comparison between Human and Machine Learning Approaches2107.13049v1 · Bradley C. Whitmore, Janice C. Lee, Rupali Chandar et al.2021 · 48 citationsarXiv
All-sky Search for Continuous Gravitational Waves from Isolated Neutron Stars in the Early O3 LIGO Data2107.00600v2 · R. Abbott, T. D. Abbott, S. Abraham et al.2021 · 66 citationsPhys. Rev. D 104, 082004 (2021)
Observation of gravitational waves from two neutron star-black hole coalescences2106.15163v1 · R. Abbott, T. D. Abbott, S. Abraham et al.2021 · 763 citationsApJL, 915, L5 (2021)
Constraints on Cosmic Strings Using Data from the Third Advanced LIGO-Virgo Observing Run.34213926 · Abbott, R, Abbott, T D, Abraham, S et al.2021 · 188 citationsPhysical review letters. 2021;126(24):241102
Searches for continuous gravitational waves from young supernova remnants in the early third observing run of Advanced LIGO and Virgo2105.11641v2 · R. Abbott, T. D. Abbott, S. Abraham et al.2021 · 69 citationsarXiv
Search for lensing signatures in the gravitational-wave observations from the first half of LIGO-Virgo's third observing run2105.06384v3 · R. Abbott, T. D. Abbott, S. Abraham et al.2021 · 11 citationsarXiv
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