Item talk:Q142790
From geokb
{
"OpenAlex": {
"id": "https://openalex.org/A5058959716",
"orcid": "https://orcid.org/0000-0003-2375-318X",
"display_name": "Alexandre M. Tartakovsky",
"display_name_alternatives": [
"Alexandre M. Tartakovsky",
"A. M. Tartakovsky",
"A. Tartakovsky",
"Alexandre Tartakovsky"
],
"works_count": 320,
"cited_by_count": 6235,
"summary_stats": {
"2yr_mean_citedness": 3.0,
"h_index": 39,
"i10_index": 110
},
"ids": {
"openalex": "https://openalex.org/A5058959716",
"orcid": "https://orcid.org/0000-0003-2375-318X"
},
"affiliations": [
{
"institution": {
"id": "https://openalex.org/I142606810",
"ror": "https://ror.org/05h992307",
"display_name": "Pacific Northwest National Laboratory",
"country_code": "US",
"type": "facility",
"lineage": [
"https://openalex.org/I1325736334",
"https://openalex.org/I1330989302",
"https://openalex.org/I142606810",
"https://openalex.org/I39565521"
]
},
"years": [
2024,
2023,
2022,
2021,
2020,
2019,
2018,
2017,
2016,
2015
]
},
{
"institution": {
"id": "https://openalex.org/I157725225",
"ror": "https://ror.org/047426m28",
"display_name": "University of Illinois Urbana-Champaign",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I157725225"
]
},
"years": [
2024,
2023,
2022,
2021,
2020,
2019
]
},
{
"institution": {
"id": "https://openalex.org/I1325736334",
"ror": "https://ror.org/01h5tnr73",
"display_name": "Battelle",
"country_code": "US",
"type": "nonprofit",
"lineage": [
"https://openalex.org/I1325736334"
]
},
"years": [
2021,
2019,
2011
]
},
{
"institution": {
"id": "https://openalex.org/I167576493",
"ror": "https://ror.org/04raf6v53",
"display_name": "Colorado School of Mines",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I167576493"
]
},
"years": [
2021
]
},
{
"institution": {
"id": "https://openalex.org/I130654763",
"ror": "https://ror.org/0417r6n29",
"display_name": "Richland College",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I1291072267",
"https://openalex.org/I130654763"
]
},
"years": [
2018
]
},
{
"institution": {
"id": "https://openalex.org/I2613432",
"ror": "https://ror.org/032db5x82",
"display_name": "University of South Florida",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I2613432"
]
},
"years": [
2015,
2014,
2013
]
},
{
"institution": {
"id": "https://openalex.org/I36258959",
"ror": "https://ror.org/0168r3w48",
"display_name": "University of California, San Diego",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I36258959"
]
},
"years": [
2012
]
},
{
"institution": {
"id": "https://openalex.org/I2800102766",
"ror": "https://ror.org/00ty2a548",
"display_name": "Idaho National Laboratory",
"country_code": "US",
"type": "facility",
"lineage": [
"https://openalex.org/I1325736334",
"https://openalex.org/I1330989302",
"https://openalex.org/I2800102766",
"https://openalex.org/I2801818860"
]
},
"years": [
2004,
2003,
2002
]
},
{
"institution": {
"id": "https://openalex.org/I1343871089",
"ror": "https://ror.org/01e41cf67",
"display_name": "Los Alamos National Laboratory",
"country_code": "US",
"type": "facility",
"lineage": [
"https://openalex.org/I1330989302",
"https://openalex.org/I1343871089",
"https://openalex.org/I198811213",
"https://openalex.org/I4210120050"
]
},
"years": [
2004
]
},
{
"institution": {
"id": "https://openalex.org/I138006243",
"ror": "https://ror.org/03m2x1q45",
"display_name": "University of Arizona",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I138006243"
]
},
"years": [
2002
]
}
],
"last_known_institutions": [
{
"id": "https://openalex.org/I142606810",
"ror": "https://ror.org/05h992307",
"display_name": "Pacific Northwest National Laboratory",
"country_code": "US",
"type": "facility",
"lineage": [
"https://openalex.org/I1325736334",
"https://openalex.org/I1330989302",
"https://openalex.org/I142606810",
"https://openalex.org/I39565521"
]
},
{
"id": "https://openalex.org/I157725225",
"ror": "https://ror.org/047426m28",
"display_name": "University of Illinois Urbana-Champaign",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I157725225"
]
}
],
"topics": [
{
"id": "https://openalex.org/T10894",
"display_name": "Groundwater Flow and Transport Modeling",
"count": 80,
"subfield": {
"id": "https://openalex.org/subfields/2305",
"display_name": "Environmental Engineering"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11751",
"display_name": "Lattice Boltzmann Method for Complex Flows",
"count": 66,
"subfield": {
"id": "https://openalex.org/subfields/2206",
"display_name": "Computational Mechanics"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11694",
"display_name": "Smoothed Particle Hydrodynamics in Fluid Dynamics",
"count": 64,
"subfield": {
"id": "https://openalex.org/subfields/2206",
"display_name": "Computational Mechanics"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11206",
"display_name": "Physics-Informed Neural Networks for Scientific Computing",
"count": 43,
"subfield": {
"id": "https://openalex.org/subfields/3109",
"display_name": "Statistical and Nonlinear Physics"
},
"field": {
"id": "https://openalex.org/fields/31",
"display_name": "Physics and Astronomy"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10928",
"display_name": "Uncertainty Quantification and Sensitivity Analysis",
"count": 40,
"subfield": {
"id": "https://openalex.org/subfields/1804",
"display_name": "Statistics, Probability and Uncertainty"
},
"field": {
"id": "https://openalex.org/fields/18",
"display_name": "Decision Sciences"
},
"domain": {
"id": "https://openalex.org/domains/2",
"display_name": "Social Sciences"
}
},
{
"id": "https://openalex.org/T10491",
"display_name": "Pore-scale Imaging and Enhanced Oil Recovery",
"count": 32,
"subfield": {
"id": "https://openalex.org/subfields/2212",
"display_name": "Ocean Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11382",
"display_name": "Dynamics of Drop Impact on Surfaces",
"count": 25,
"subfield": {
"id": "https://openalex.org/subfields/2206",
"display_name": "Computational Mechanics"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11302",
"display_name": "Carbon Dioxide Sequestration in Geological Formations",
"count": 20,
"subfield": {
"id": "https://openalex.org/subfields/2305",
"display_name": "Environmental Engineering"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12100",
"display_name": "Multiscale Methods for Heterogeneous Systems",
"count": 20,
"subfield": {
"id": "https://openalex.org/subfields/1703",
"display_name": "Computational Theory and Mathematics"
},
"field": {
"id": "https://openalex.org/fields/17",
"display_name": "Computer Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10635",
"display_name": "Hydraulic Fracturing in Shale Gas Reservoirs",
"count": 20,
"subfield": {
"id": "https://openalex.org/subfields/2210",
"display_name": "Mechanical Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10716",
"display_name": "Mechanics and Transport in Unsaturated Soils",
"count": 19,
"subfield": {
"id": "https://openalex.org/subfields/2205",
"display_name": "Civil and Structural Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11801",
"display_name": "Advanced Techniques in Reservoir Management",
"count": 18,
"subfield": {
"id": "https://openalex.org/subfields/2212",
"display_name": "Ocean Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12814",
"display_name": "Gaussian Processes in Machine Learning",
"count": 17,
"subfield": {
"id": "https://openalex.org/subfields/1702",
"display_name": "Artificial Intelligence"
},
"field": {
"id": "https://openalex.org/fields/17",
"display_name": "Computer Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11052",
"display_name": "Electricity Price and Load Forecasting Methods",
"count": 16,
"subfield": {
"id": "https://openalex.org/subfields/2208",
"display_name": "Electrical and Electronic Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10399",
"display_name": "Characterization of Shale Gas Pore Structure",
"count": 12,
"subfield": {
"id": "https://openalex.org/subfields/2211",
"display_name": "Mechanics of Materials"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10271",
"display_name": "Seismic Waveform Inversion in Geophysics",
"count": 11,
"subfield": {
"id": "https://openalex.org/subfields/1908",
"display_name": "Geophysics"
},
"field": {
"id": "https://openalex.org/fields/19",
"display_name": "Earth and Planetary Sciences"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10360",
"display_name": "Turbulent Flows and Vortex Dynamics",
"count": 11,
"subfield": {
"id": "https://openalex.org/subfields/2206",
"display_name": "Computational Mechanics"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12603",
"display_name": "Nuclear Magnetic Resonance Applications in Various Fields",
"count": 10,
"subfield": {
"id": "https://openalex.org/subfields/3106",
"display_name": "Nuclear and High Energy Physics"
},
"field": {
"id": "https://openalex.org/fields/31",
"display_name": "Physics and Astronomy"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10663",
"display_name": "Lithium-ion Battery Management in Electric Vehicles",
"count": 10,
"subfield": {
"id": "https://openalex.org/subfields/2203",
"display_name": "Automotive Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10535",
"display_name": "Landslide Hazards and Risk Assessment",
"count": 10,
"subfield": {
"id": "https://openalex.org/subfields/2308",
"display_name": "Management, Monitoring, Policy and Law"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12274",
"display_name": "Theory and Simulations of Polyelectrolytes in Solutions",
"count": 9,
"subfield": {
"id": "https://openalex.org/subfields/1606",
"display_name": "Physical and Theoretical Chemistry"
},
"field": {
"id": "https://openalex.org/fields/16",
"display_name": "Chemistry"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10848",
"display_name": "Multiobjective Optimization in Evolutionary Algorithms",
"count": 9,
"subfield": {
"id": "https://openalex.org/subfields/1703",
"display_name": "Computational Theory and Mathematics"
},
"field": {
"id": "https://openalex.org/fields/17",
"display_name": "Computer Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11582",
"display_name": "Nanofluidics and Nanopore Technology",
"count": 8,
"subfield": {
"id": "https://openalex.org/subfields/2204",
"display_name": "Biomedical Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10514",
"display_name": "Fracture Mechanics Modeling and Simulation",
"count": 8,
"subfield": {
"id": "https://openalex.org/subfields/2211",
"display_name": "Mechanics of Materials"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10995",
"display_name": "Anaerobic Methane Oxidation and Gas Hydrates",
"count": 8,
"subfield": {
"id": "https://openalex.org/subfields/2304",
"display_name": "Environmental Chemistry"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
}
],
"topic_share": [
{
"id": "https://openalex.org/T11751",
"display_name": "Lattice Boltzmann Method for Complex Flows",
"value": 0.000603,
"subfield": {
"id": "https://openalex.org/subfields/2206",
"display_name": "Computational Mechanics"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11206",
"display_name": "Physics-Informed Neural Networks for Scientific Computing",
"value": 0.0005129,
"subfield": {
"id": "https://openalex.org/subfields/3109",
"display_name": "Statistical and Nonlinear Physics"
},
"field": {
"id": "https://openalex.org/fields/31",
"display_name": "Physics and Astronomy"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11694",
"display_name": "Smoothed Particle Hydrodynamics in Fluid Dynamics",
"value": 0.0004715,
"subfield": {
"id": "https://openalex.org/subfields/2206",
"display_name": "Computational Mechanics"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10894",
"display_name": "Groundwater Flow and Transport Modeling",
"value": 0.0004309,
"subfield": {
"id": "https://openalex.org/subfields/2305",
"display_name": "Environmental Engineering"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12814",
"display_name": "Gaussian Processes in Machine Learning",
"value": 0.0004214,
"subfield": {
"id": "https://openalex.org/subfields/1702",
"display_name": "Artificial Intelligence"
},
"field": {
"id": "https://openalex.org/fields/17",
"display_name": "Computer Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11302",
"display_name": "Carbon Dioxide Sequestration in Geological Formations",
"value": 0.0002525,
"subfield": {
"id": "https://openalex.org/subfields/2305",
"display_name": "Environmental Engineering"
},
"field": {
"id": "https://openalex.org/fields/23",
"display_name": "Environmental Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11382",
"display_name": "Dynamics of Drop Impact on Surfaces",
"value": 0.0002331,
"subfield": {
"id": "https://openalex.org/subfields/2206",
"display_name": "Computational Mechanics"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10928",
"display_name": "Uncertainty Quantification and Sensitivity Analysis",
"value": 0.0002272,
"subfield": {
"id": "https://openalex.org/subfields/1804",
"display_name": "Statistics, Probability and Uncertainty"
},
"field": {
"id": "https://openalex.org/fields/18",
"display_name": "Decision Sciences"
},
"domain": {
"id": "https://openalex.org/domains/2",
"display_name": "Social Sciences"
}
},
{
"id": "https://openalex.org/T10491",
"display_name": "Pore-scale Imaging and Enhanced Oil Recovery",
"value": 0.0002251,
"subfield": {
"id": "https://openalex.org/subfields/2212",
"display_name": "Ocean Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11471",
"display_name": "Self-Assembly of Block Copolymers in Nanotechnology",
"value": 0.0001885,
"subfield": {
"id": "https://openalex.org/subfields/2505",
"display_name": "Materials Chemistry"
},
"field": {
"id": "https://openalex.org/fields/25",
"display_name": "Materials Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11052",
"display_name": "Electricity Price and Load Forecasting Methods",
"value": 0.000135,
"subfield": {
"id": "https://openalex.org/subfields/2208",
"display_name": "Electrical and Electronic Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12063",
"display_name": "Heat Transfer in Porous Media and Packed Beds",
"value": 0.0001174,
"subfield": {
"id": "https://openalex.org/subfields/2206",
"display_name": "Computational Mechanics"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10716",
"display_name": "Mechanics and Transport in Unsaturated Soils",
"value": 0.0001112,
"subfield": {
"id": "https://openalex.org/subfields/2205",
"display_name": "Civil and Structural Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11582",
"display_name": "Nanofluidics and Nanopore Technology",
"value": 0.0001002,
"subfield": {
"id": "https://openalex.org/subfields/2204",
"display_name": "Biomedical Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12274",
"display_name": "Theory and Simulations of Polyelectrolytes in Solutions",
"value": 9.02e-05,
"subfield": {
"id": "https://openalex.org/subfields/1606",
"display_name": "Physical and Theoretical Chemistry"
},
"field": {
"id": "https://openalex.org/fields/16",
"display_name": "Chemistry"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10848",
"display_name": "Multiobjective Optimization in Evolutionary Algorithms",
"value": 8.62e-05,
"subfield": {
"id": "https://openalex.org/subfields/1703",
"display_name": "Computational Theory and Mathematics"
},
"field": {
"id": "https://openalex.org/fields/17",
"display_name": "Computer Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12603",
"display_name": "Nuclear Magnetic Resonance Applications in Various Fields",
"value": 8.48e-05,
"subfield": {
"id": "https://openalex.org/subfields/3106",
"display_name": "Nuclear and High Energy Physics"
},
"field": {
"id": "https://openalex.org/fields/31",
"display_name": "Physics and Astronomy"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12293",
"display_name": "Statistics and Mechanisms of Embankment Dam Failures",
"value": 7.97e-05,
"subfield": {
"id": "https://openalex.org/subfields/2205",
"display_name": "Civil and Structural Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T12100",
"display_name": "Multiscale Methods for Heterogeneous Systems",
"value": 7.37e-05,
"subfield": {
"id": "https://openalex.org/subfields/1703",
"display_name": "Computational Theory and Mathematics"
},
"field": {
"id": "https://openalex.org/fields/17",
"display_name": "Computer Science"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10635",
"display_name": "Hydraulic Fracturing in Shale Gas Reservoirs",
"value": 6.65e-05,
"subfield": {
"id": "https://openalex.org/subfields/2210",
"display_name": "Mechanical Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11801",
"display_name": "Advanced Techniques in Reservoir Management",
"value": 5.79e-05,
"subfield": {
"id": "https://openalex.org/subfields/2212",
"display_name": "Ocean Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11690",
"display_name": "Aqueous Zinc-Ion Battery Technology",
"value": 4.83e-05,
"subfield": {
"id": "https://openalex.org/subfields/2208",
"display_name": "Electrical and Electronic Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10514",
"display_name": "Fracture Mechanics Modeling and Simulation",
"value": 4.77e-05,
"subfield": {
"id": "https://openalex.org/subfields/2211",
"display_name": "Mechanics of Materials"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T13596",
"display_name": "Tunnel Grouting Techniques",
"value": 4.75e-05,
"subfield": {
"id": "https://openalex.org/subfields/2205",
"display_name": "Civil and Structural Engineering"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T11558",
"display_name": "Multi-Scale Modeling of Heterogeneous Materials",
"value": 4.64e-05,
"subfield": {
"id": "https://openalex.org/subfields/2211",
"display_name": "Mechanics of Materials"
},
"field": {
"id": "https://openalex.org/fields/22",
"display_name": "Engineering"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
}
],
"x_concepts": [
{
"id": "https://openalex.org/C121332964",
"wikidata": "https://www.wikidata.org/wiki/Q413",
"display_name": "Physics",
"level": 0,
"score": 93.8
},
{
"id": "https://openalex.org/C62520636",
"wikidata": "https://www.wikidata.org/wiki/Q944",
"display_name": "Quantum mechanics",
"level": 1,
"score": 78.8
},
{
"id": "https://openalex.org/C33923547",
"wikidata": "https://www.wikidata.org/wiki/Q395",
"display_name": "Mathematics",
"level": 0,
"score": 76.3
},
{
"id": "https://openalex.org/C127413603",
"wikidata": "https://www.wikidata.org/wiki/Q11023",
"display_name": "Engineering",
"level": 0,
"score": 60.3
},
{
"id": "https://openalex.org/C97355855",
"wikidata": "https://www.wikidata.org/wiki/Q11473",
"display_name": "Thermodynamics",
"level": 1,
"score": 60.0
},
{
"id": "https://openalex.org/C41008148",
"wikidata": "https://www.wikidata.org/wiki/Q21198",
"display_name": "Computer science",
"level": 0,
"score": 57.5
},
{
"id": "https://openalex.org/C127313418",
"wikidata": "https://www.wikidata.org/wiki/Q1069",
"display_name": "Geology",
"level": 0,
"score": 55.6
},
{
"id": "https://openalex.org/C185592680",
"wikidata": "https://www.wikidata.org/wiki/Q2329",
"display_name": "Chemistry",
"level": 0,
"score": 54.7
},
{
"id": "https://openalex.org/C57879066",
"wikidata": "https://www.wikidata.org/wiki/Q41217",
"display_name": "Mechanics",
"level": 1,
"score": 45.9
},
{
"id": "https://openalex.org/C192562407",
"wikidata": "https://www.wikidata.org/wiki/Q228736",
"display_name": "Materials science",
"level": 0,
"score": 45.3
},
{
"id": "https://openalex.org/C2524010",
"wikidata": "https://www.wikidata.org/wiki/Q8087",
"display_name": "Geometry",
"level": 1,
"score": 41.6
},
{
"id": "https://openalex.org/C205649164",
"wikidata": "https://www.wikidata.org/wiki/Q1071",
"display_name": "Geography",
"level": 0,
"score": 40.9
},
{
"id": "https://openalex.org/C86803240",
"wikidata": "https://www.wikidata.org/wiki/Q420",
"display_name": "Biology",
"level": 0,
"score": 40.0
},
{
"id": "https://openalex.org/C159985019",
"wikidata": "https://www.wikidata.org/wiki/Q181790",
"display_name": "Composite material",
"level": 1,
"score": 38.4
},
{
"id": "https://openalex.org/C178790620",
"wikidata": "https://www.wikidata.org/wiki/Q11351",
"display_name": "Organic chemistry",
"level": 1,
"score": 35.6
},
{
"id": "https://openalex.org/C105795698",
"wikidata": "https://www.wikidata.org/wiki/Q12483",
"display_name": "Statistics",
"level": 1,
"score": 34.1
},
{
"id": "https://openalex.org/C134306372",
"wikidata": "https://www.wikidata.org/wiki/Q7754",
"display_name": "Mathematical analysis",
"level": 1,
"score": 34.1
},
{
"id": "https://openalex.org/C187320778",
"wikidata": "https://www.wikidata.org/wiki/Q1349130",
"display_name": "Geotechnical engineering",
"level": 1,
"score": 31.9
},
{
"id": "https://openalex.org/C154945302",
"wikidata": "https://www.wikidata.org/wiki/Q11660",
"display_name": "Artificial intelligence",
"level": 1,
"score": 27.5
},
{
"id": "https://openalex.org/C119857082",
"wikidata": "https://www.wikidata.org/wiki/Q2539",
"display_name": "Machine learning",
"level": 1,
"score": 26.6
},
{
"id": "https://openalex.org/C18903297",
"wikidata": "https://www.wikidata.org/wiki/Q7150",
"display_name": "Ecology",
"level": 1,
"score": 25.3
},
{
"id": "https://openalex.org/C28826006",
"wikidata": "https://www.wikidata.org/wiki/Q33521",
"display_name": "Applied mathematics",
"level": 1,
"score": 25.3
},
{
"id": "https://openalex.org/C6648577",
"wikidata": "https://www.wikidata.org/wiki/Q622669",
"display_name": "Porosity",
"level": 2,
"score": 25.0
},
{
"id": "https://openalex.org/C105569014",
"wikidata": "https://www.wikidata.org/wiki/Q3271208",
"display_name": "Porous medium",
"level": 3,
"score": 24.4
},
{
"id": "https://openalex.org/C121864883",
"wikidata": "https://www.wikidata.org/wiki/Q677916",
"display_name": "Statistical physics",
"level": 1,
"score": 22.8
}
],
"counts_by_year": [
{
"year": 2024,
"works_count": 7,
"cited_by_count": 685
},
{
"year": 2023,
"works_count": 15,
"cited_by_count": 829
},
{
"year": 2022,
"works_count": 16,
"cited_by_count": 715
},
{
"year": 2021,
"works_count": 20,
"cited_by_count": 684
},
{
"year": 2020,
"works_count": 21,
"cited_by_count": 548
},
{
"year": 2019,
"works_count": 23,
"cited_by_count": 527
},
{
"year": 2018,
"works_count": 24,
"cited_by_count": 383
},
{
"year": 2017,
"works_count": 19,
"cited_by_count": 407
},
{
"year": 2016,
"works_count": 13,
"cited_by_count": 402
},
{
"year": 2015,
"works_count": 19,
"cited_by_count": 364
},
{
"year": 2014,
"works_count": 11,
"cited_by_count": 277
},
{
"year": 2013,
"works_count": 17,
"cited_by_count": 328
},
{
"year": 2012,
"works_count": 16,
"cited_by_count": 169
}
],
"works_api_url": "https://api.openalex.org/works?filter=author.id:A5058959716",
"updated_date": "2024-08-21T20:51:46.647819",
"created_date": "2023-07-21",
"_id": "https://openalex.org/A5058959716"
},
"ORCID": {
"@context": "http://schema.org",
"@type": "Person",
"@id": "https://orcid.org/0000-0003-2375-318X",
"mainEntityOfPage": "https://orcid.org/0000-0003-2375-318X",
"givenName": "Alexandre",
"familyName": "Tartakovsky",
"@reverse": {
"creator": [
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.cma.2024.117147",
"name": "Bayesian reduced-order deep learning surrogate model for dynamic systems described by partial differential equations",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.cma.2024.117147"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jcp.2024.112788",
"name": "Gaussian process regression and conditional Karhunen-Lo\u00e8ve models for data assimilation in inverse problems",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jcp.2024.112788"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jcp.2023.112723",
"name": "Physics-informed machine learning method with space-time Karhunen-Lo\u00e8ve expansions for forward and inverse partial differential equations",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jcp.2023.112723"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.cma.2023.116487",
"name": "Conditional Karhunen\u2013Lo\u00e8ve regression model with Basis Adaptation for high-dimensional problems: Uncertainty quantification and inverse modeling",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.cma.2023.116487"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.cma.2023.116125",
"name": "Improved training of physics-informed neural networks for parabolic differential equations with sharply perturbed initial conditions",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.cma.2023.116125"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1038/s43017-023-00450-9",
"name": "Differentiable modelling to unify machine learning and physical models for geosciences",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1038/s43017-023-00450-9"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2022wr033939",
"name": "Urban Flood Modeling: Uncertainty Quantification and Physics\u2010Informed Gaussian Processes Regression Forecasting",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2022wr033939"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jpowsour.2022.231807",
"name": "Enhanced physics-constrained deep neural networks for modeling vanadium redox flow battery",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jpowsour.2022.231807"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jcp.2022.111230",
"name": "Physics-informed Karhunen-Lo\u00e9ve and neural network approximations for solving inverse differential equation problems",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jcp.2022.111230"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2021wr031023",
"name": "Physics\u2010Informed Machine Learning Method for Large\u2010Scale Data Assimilation Problems",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2021wr031023"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jpowsour.2022.231147",
"name": "Physics-constrained deep neural network method for estimating parameters in a redox flow battery",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jpowsour.2022.231147"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1103/physrevfluids.6.073301",
"name": "Learning unknown physics of non-Newtonian fluids",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1103/physrevfluids.6.073301"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2020wr029479",
"name": "Physics\u2010Informed Neural Network Method for Forward and Backward Advection\u2010Dispersion Equations",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2020wr029479"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2020wr028775",
"name": "Numerical and Analytical Modeling of Flow Partitioning in Partially Saturated Fracture Networks",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2020wr028775"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2020wr027323",
"name": "Multiscale Smoothed Particle Hydrodynamics Model Development for Simulating Preferential Flow Dynamics in Fractured Porous Media",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2020wr027323"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jcp.2020.109955",
"name": "A conservative level set method for N-phase flows with a free-energy-based surface tension model",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jcp.2020.109955"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jcp.2020.109904",
"name": "Physics-informed machine learning with conditional Karhunen-Lo\u00e8ve expansions",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jcp.2020.109904"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jcp.2020.109732",
"name": "Non-local model for surface tension in fluid-fluid simulations",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jcp.2020.109732"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1002/essoar.10504345.1",
"name": "Numerical and analytical modeling of flow partitioning in partially saturated fracture networks.",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1002/essoar.10504345.1"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2019wr026731",
"name": "Physics\u2010Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2019wr026731"
}
}
]
}
}
}
