Title
Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics Gert Aarts Kenji Fukushima Tetsuo Hatsuda Andreas Ipp S. Shi L. Wang K. Zhou AI4CE PINN 48 2 0 09 Jan 2025
NeuralMAG: Fast and Generalizable Micromagnetic Simulation with Deep Neural Nets Yunqi Cai Jiangnan Li Dong Wang OOD AI4CE 26 0 0 19 Oct 2024
AI ensemble for signal detection of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers Minyang Tian Eliu A. Huerta Huihuo Zheng 17 1 0 29 Sep 2023
APACE: AlphaFold2 and advanced computing as a service for accelerated discovery in biophysics H. Park Parth Patel Roland Haas Eliu A. Huerta 9 4 0 15 Aug 2023
Power-law Scaling to Assist with Key Challenges in Artificial Intelligence Yuval Meir Shira Sardi Shiri Hodassman Karin Kisos Itamar Ben-Noam A. Goldental Ido Kanter 14 16 0 15 Nov 2022
Bridging the Gap between Artificial Intelligence and Artificial General Intelligence: A Ten Commandment Framework for Human-Like Intelligence Ananta Nair F. Kashani 28 2 0 17 Oct 2022
Machine-Learning Love: classifying the equation of state of neutron stars with Transformers Gonçalo Gonçalves Márcio Ferreira João Aveiro António Onofre F. F. Freitas C. Providência J. Font 14 5 0 15 Oct 2022
Globus Automation Services: Research process automation across the space-time continuum Ryan Chard J. Pruyne Kurt McKee Josh Bryan B. Raumann R. Ananthakrishnan Kyle Chard Ian T. Foster 11 29 0 19 Aug 2022
$FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy$ FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy Nikil Ravi Pranshu Chaturvedi Eliu A. Huerta Zhengchun Liu Ryan Chard Aristana Scourtas K. J. Schmidt Kyle Chard B. Blaiszik Ian T. Foster 37 26 0 01 Jul 2022
Single-Shot Optical Neural Network Liane Bernstein Alexander Sludds C. Panuski Sivan Trajtenberg‐Mills R. Hamerly Dirk Englund BDL 29 44 0 18 May 2022
Applications of physics informed neural operators S. Rosofsky Hani Al Majed Eliu A. Huerta PINN AI4CE 17 39 0 23 Mar 2022
Interpreting a Machine Learning Model for Detecting Gravitational Waves M. Safarzadeh Asad Khan Eliu A. Huerta Martin Wattenberg 35 2 0 15 Feb 2022
Inference-optimized AI and high performance computing for gravitational wave detection at scale Pranshu Chaturvedi Asad Khan Minyang Tian Eliu A. Huerta Huihuo Zheng 8 29 0 26 Jan 2022
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 mergers Asad Khan E. A. H. abd Prayush Kumar 19 5 0 13 Dec 2021
Interpretable AI forecasting for numerical relativity waveforms of quasi-circular, spinning, non-precessing binary black hole mergers Asad Khan Eliu A. Huerta Huihuo Zheng 21 11 0 13 Oct 2021
A FAIR and AI-ready Higgs boson decay dataset Yifan Chen Eliu A. Huerta Javier Mauricio Duarte Philip C. Harris Daniel S. Katz ... Raghav Kansal Sang Eon Park Volodymyr V. Kindratenko Zhizhen Zhao R. Rusack 21 25 0 04 Aug 2021
Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources Eliu A. Huerta Zhizhen Zhao 32 21 0 13 May 2021
Accelerated, Scalable and Reproducible AI-driven Gravitational Wave Detection Eliu A. Huerta Asad Khan Xiaobo Huang Minyang Tian Maksim Levental ... Daniel S. Katz Volodymyr V. Kindratenko D. Mu B. Blaiszik Ian T. Foster 17 61 0 15 Dec 2020
Deep learning for gravitational-wave data analysis: A resampling white-box approach M. Morales J. Antelis Claudia Moreno A. Nesterov 11 10 0 09 Sep 2020
Classification of Equation of State in Relativistic Heavy-Ion Collisions Using Deep Learning Yu. Kvasiuk E. Zabrodin L. Bravina I. Didur M. Frolov 6 3 0 29 Apr 2020
Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure Eliu A. Huerta Asad Khan Edward Davis Colleen Bushell W. Gropp ... S. Koric William T. C. Kramer Brendan McGinty Kenton McHenry Aaron Saxton AI4CE 26 44 0 18 Mar 2020
Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms Arjun Gupta Eliu A. Huerta Zhizhen Zhao I. Moussa 21 27 0 16 Dec 2019