Search Results - "Huerta, E. A."

Detection of eccentric supermassive black hole binaries with pulsar timing arrays: Signal-to-noise ratio calculations by Huerta, E. A., McWilliams, Sean T., Gair, Jonathan R., Taylor, Stephen R.

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Gravitational Waves from Accreting Neutron Stars Undergoing Common-envelope Inspiral by Holgado, A. Miguel, Ricker, Paul M., Huerta, E. A.

“…The common-envelope phase is a likely formation channel for close binary systems containing compact objects. Neutron stars in common envelopes accrete at a…”
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Statistically-informed deep learning for gravitational wave parameter estimation by Shen, Hongyu, Huerta, E A, O’Shea, Eamonn, Kumar, Prayush, Zhao, Zhizhen

“…Abstract We introduce deep learning models to estimate the masses of the binary components of black hole mergers, ( m 1 , m 2 ) , and three astrophysical…”
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Inference-Optimized AI and High Performance Computing for Gravitational Wave Detection at Scale by Chaturvedi, Pranshu, Khan, Asad, Tian, Minyang, Huerta, E A, Zheng, Huihuo

“…We introduce an ensemble of artificial intelligence models for gravitational wave detection that we trained in the Summit supercomputer using 32 nodes,…”
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FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy by Ravi, Nikil, Chaturvedi, Pranshu, Huerta, E. A., Liu, Zhengchun, Chard, Ryan, Scourtas, Aristana, Schmidt, K. J., Chard, Kyle, Blaiszik, Ben, Foster, Ian

“…A concise and measurable set of FAIR (Findable, Accessible, Interoperable and Reusable) principles for scientific data is transforming the state-of-practice…”
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The TEOGIC study project: a comprehensive characterization of early onset gastrointestinal cancer in the Northern area of Spain by Vera, R, Castro, N, Labiano, I, Lecumberri, A, Huerta, A E, Arasanz, H, Caseda, I, Ruiz-Pace, F, Viaplana, C, Arrazubi, V, Hernandez-Garcia, I, Mata, E, Gomez, D, Laguna, S, Suarez, J, Fernandez-De-Los-Reyes, I, Rullan, M, Estremera, F, Alonso, V, Pazo-Cid, R, Gil-Negrete, A, Lafuente, A, Martin-Carnicero, A, Dientsmann, R, Alsina, M

“…Gastrointestinal cancers represent one of the most prevalent diseases worldwide. Strikingly, the incidence of Early Onset Gastrointestinal Cancer (EOGIC) has…”
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Correction: the TEOGIC study project: a comprehensive characterization of early onset gastrointestinal cancer in the Northern area of Spain by Vera, R, Castro, N, Labiano, I, Lecumberri, A, Huerta, A E, Arasanz, H, Caseda, I, Ruiz-Pace, F, Viaplana, C, Arrazubi, V, Hernandez-Garcia, I, Mata, E, Gomez, D, Laguna, S, Suarez, J, Fernandez-De-Los-Reyes, I, Rullan, M, Estremera, F, Alonso, V, Pazo-Cid, R, Gil-Negrete, A, Lafuente, A, Martin-Carnicero, A, Dienstmann, R, Alsina, M

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Magnetohydrodynamics with physics informed neural operators by Rosofsky, Shawn G, Huerta, E A

“…Abstract The modeling of multi-scale and multi-physics complex systems typically involves the use of scientific software that can optimally leverage extreme…”
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FAIR for AI: An interdisciplinary and international community building perspective by Huerta, E. A., Blaiszik, Ben, Brinson, L. Catherine, Bouchard, Kristofer E., Diaz, Daniel, Doglioni, Caterina, Duarte, Javier M., Emani, Murali, Foster, Ian, Fox, Geoffrey, Harris, Philip, Heinrich, Lukas, Jha, Shantenu, Katz, Daniel S., Kindratenko, Volodymyr, Kirkpatrick, Christine R., Lassila-Perini, Kati, Madduri, Ravi K., Neubauer, Mark S., Psomopoulos, Fotis E., Roy, Avik, Rübel, Oliver, Zhao, Zhizhen, Zhu, Ruike

“…A foundational set of findable, accessible, interoperable, and reusable (FAIR) principles were proposed in 2016 as prerequisites for proper data management and…”
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A FAIR and AI-ready Higgs boson decay dataset by Chen, Yifan, Huerta, E. A., Duarte, Javier, Harris, Philip, Katz, Daniel S., Neubauer, Mark S., Diaz, Daniel, Mokhtar, Farouk, Kansal, Raghav, Park, Sang Eon, Kindratenko, Volodymyr V., Zhao, Zhizhen, Rusack, Roger

“…To enable the reusability of massive scientific datasets by humans and machines, researchers aim to adhere to the principles of findability, accessibility,…”
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Applications of physics informed neural operators by Rosofsky, Shawn G, Al Majed, Hani, Huerta, E A

“…Abstract We present a critical analysis of physics-informed neural operators (PINOs) to solve partial differential equations (PDEs) that are ubiquitous in the…”
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Physics-inspired spatiotemporal-graph AI ensemble for the detection of higher order wave mode signals of spinning binary black hole mergers by Tian, Minyang, Huerta, E A, Zheng, Huihuo, Kumar, Prayush

“…Abstract We present a new class of AI models for the detection of quasi-circular, spinning, non-precessing binary black hole mergers whose waveforms include…”
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Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure by Huerta, E. A., Khan, Asad, Davis, Edward, Bushell, Colleen, Gropp, William D., Katz, Daniel S., Kindratenko, Volodymyr, Koric, Seid, Kramer, William T. C., McGinty, Brendan, McHenry, Kenton, Saxton, Aaron

“…Significant investments to upgrade and construct large-scale scientific facilities demand commensurate investments in R&D to design algorithms and computing…”
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End-to-end AI framework for interpretable prediction of molecular and crystal properties by Park, Hyun, Zhu, Ruijie, Huerta, E A, Chaudhuri, Santanu, Tajkhorshid, Emad, Cooper, Donny

“…Abstract We introduce an end-to-end computational framework that allows for hyperparameter optimization using the DeepHyper library, accelerated model…”
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Effect of cadmium on the concentration of essential metals in a human chondrocyte micromass culture by Martínez-Nava, GA, Mendoza-Soto, L, Fernández-Torres, J, Zamudio-Cuevas, Y, Reyes-Hinojosa, D, Plata-Rodríguez, R, Olivos-Meza, A, Ruíz-Huerta, EA, Armienta-Hernández, MA, Hernández-Álvarez, E, Vargas-Sandoval, B, Landa-Solís, C, Suárez-Ahedo, C, Barbier, OC, Narváez-Morales, J, Del Razo, LM, Camacho-Rea, MC, Martínez-Flores, K

“…•In vitro research demonstrating the effect of cadmium related to Zn, Fe, Mn and Cr in articular cartilage.•The impact of cadmium on the presence of…”
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FAIR AI Models in High Energy Physics by Li, Haoyang, Duarte, Javier, Roy, Avik, Zhu, Ruike, Huerta, E. A., Diaz, Daniel, Harris, Philip, Kansal, Raghav, Katz, Daniel S., Kavoori, Ishaan H., Kindratenko, Volodymyr V., Mokhtar, Farouk, Neubauer, Mark S., Park, Sang Eon, Quinnan, Melissa, Rusack, Roger, Zhao, Zhizhen

“…The findable, accessible, interoperable, and reusable (FAIR) data principles serve as a framework for examining, evaluating, and improving data sharing to…”
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FAIR AI models in high energy physics by Duarte, Javier, Li, Haoyang, Roy, Avik, Zhu, Ruike, Huerta, E A, Diaz, Daniel, Harris, Philip, Kansal, Raghav, Katz, Daniel S, Kavoori, Ishaan H, Kindratenko, Volodymyr V, Mokhtar, Farouk, Neubauer, Mark S, Eon Park, Sang, Quinnan, Melissa, Rusack, Roger, Zhao, Zhizhen

“…Abstract The findable, accessible, interoperable, and reusable (FAIR) data principles provide a framework for examining, evaluating, and improving how data is…”
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APACE: AlphaFold2 and advanced computing as a service for accelerated discovery in biophysics by Park, Hyun, Patel, Parth, Haas, Roland, Huerta, E A

“…The prediction of protein 3D structure from amino acid sequence is a computational grand challenge in biophysics and plays a key role in robust protein…”
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Deep Learning with Quantized Neural Networks for Gravitational-wave Forecasting of Eccentric Compact Binary Coalescence by Wei, Wei, Huerta, E. A., Yun, Mengshen, Loutrel, Nicholas, Shaikh, Md Arif, Kumar, Prayush, Haas, Roland, Kindratenko, Volodymyr

“…Abstract We present the first application of deep learning forecasting for binary neutron stars, neutron star–black hole systems, and binary black hole mergers…”
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Accurate and efficient waveforms for compact binaries on eccentric orbits by Huerta, E. A., Kumar, Prayush, McWilliams, Sean T., O’Shaughnessy, Richard, Yunes, Nicolás

“…Compact binaries that emit gravitational waves in the sensitivity band of ground-based detectors can have non-negligible eccentricities just prior to merger,…”
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