Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T00:50:57.136985Z
Paper Citation Record · LEDGER
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network
As of 13 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2501.18078.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
55 of 55 outbound references displayed
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- verified fuzzy14
- unresolved16
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7f7bbc7b-41ca-47d4-8837-4c15ebf40d2b · outbound
This paper cites critical temperatures.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network critical temperatures
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0769a9ce-7e3d-42f2-a723-15e60b7cdf98 · outbound
This paper cites an unresolved cited work.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Unresolved cited work
Reference 2
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9f581b0f-30d0-43d5-a2b5-ec7a15f51192 · outbound
This paper cites an unresolved cited work.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Unresolved cited work
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation fe287353-db63-41f8-b183-bcbc2247ef0c · outbound
This paper cites critical temperature for the bottom side of the TPS.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network critical temperature for the bottom side of the TPS
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T00:50:58.738047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c9207da6-89a2-4d52-855b-32c8011a8c65 · outbound
This paper cites an unresolved cited work.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Unresolved cited work
Reference 5
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7258cebe-7a16-4619-be0b-ae77cad5b8f0 · outbound
This paper cites an unresolved cited work.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Unresolved cited work
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 851293e0-57ca-4ba8-aae0-3c2a11ff89b3 · outbound
This paper cites an unresolved cited work.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Unresolved cited work
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5d3bd7a4-0187-4f78-870d-2c1ed9e92af2 · outbound
This paper cites Keep sampling until the parameters stabilize and meet the critical temperature constraint.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Keep sampling until the parameters stabilize and meet the critical temperature constraint
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T00:50:58.678002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b7790d5a-4185-4008-8ee5-09303819b2de · outbound
This paper cites Needs and Opportunities for Uncertainty-Based Multidisciplinary Design Methods for Aerospace Vehicles,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Needs and Opportunities for Uncertainty-Based Multidisciplinary Design Methods for Aerospace Vehicles,
Reference 9
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 677a3fe2-a56e-4420-9397-0936a6b54a2d · outbound
This paper cites Adjust the parameters and constraints to improve performance if needed.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Adjust the parameters and constraints to improve performance if needed
Reference 10
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6f9a2798-40d5-4db2-be7b-293c1b97085e · outbound
This paper cites If not, continue adjusting and testing.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network If not, continue adjusting and testing
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T00:50:58.633214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5a974b30-159c-454d-8988-d27d34d5edbe · outbound
This paper cites The back temperature should not exceed a certain limit on the inside of the TPS.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network The back temperature should not exceed a certain limit on the inside of the TPS
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T00:50:58.619428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 71d53ae4-fbbb-48ae-8a6c-335937936c2f · outbound
This paper cites The process begins with the selection of initial parameters, where geometric dimensions and material properties are chosen based on available materials or engineering estimates.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network The process begins with the selection of initial parameters, where geometric dimensions and material properties are chosen based on available materials or engineering estimates
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T00:50:58.603800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2f60c5a5-c135-4028-8769-92a5879740c7 · outbound
This paper cites The numerical solution of the Eq.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network The numerical solution of the Eq
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T00:50:58.588159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1cfac7ab-ab35-4d39-a5bd-6e6d6a278458 · outbound
This paper cites The PINN model showed good accuracy while running many times faster for parallel simulations.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network The PINN model showed good accuracy while running many times faster for parallel simulations
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7e1543d0-9371-4459-9321-d8274a104ea9 · outbound
This paper cites Probabilistic Design Method for Aircraft Thermal Protective Layers Based on Surrogate Models,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Probabilistic Design Method for Aircraft Thermal Protective Layers Based on Surrogate Models,
Reference 16
- Resolution
- verified exact
- doi, observed 2026-08-10T00:50:57.586135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 52de5022-3eab-4abc-9a48-ec3b25f22fac · outbound
This paper cites Efficient strategy for reliability-based optimization design of multidisciplinary coupled system with interval parameters,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Efficient strategy for reliability-based optimization design of multidisciplinary coupled system with interval parameters,
Reference 17
- Resolution
- verified exact
- doi, observed 2026-08-10T00:50:57.571075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation db61543c-5f10-4856-b7e1-6b150ec6a25e · outbound
This paper cites Design of Thermal Protection System for Reusable Hypersonic Vehicle Using Inverse Approach,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Design of Thermal Protection System for Reusable Hypersonic Vehicle Using Inverse Approach,
Reference 18
- Resolution
- verified exact
- doi, observed 2026-08-10T00:50:57.555180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3ce6243e-6103-449a-ae9a-6a4f05268ddd · outbound
This paper cites Thermal Protection System and Thermal Management for Combined-Cycle Engine: Review and Prospects,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Thermal Protection System and Thermal Management for Combined-Cycle Engine: Review and Prospects,
Reference 19
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23d034bf-5e08-49fc-9350-d37801373538 · outbound
This paper cites A Parametric Physics-Informed Deep Learning Method for Probabilistic Design of Thermal Protection Systems,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network A Parametric Physics-Informed Deep Learning Method for Probabilistic Design of Thermal Protection Systems,
Reference 20
- Resolution
- verified exact
- doi, observed 2026-08-10T00:50:57.529688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 29039e7d-60ec-4ccb-a50b-3985e97223e0 · outbound
This paper cites Thermal protection systems for space vehicles: A review on technology development, current challenges and future prospects,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Thermal protection systems for space vehicles: A review on technology development, current challenges and future prospects,
Reference 21
- Resolution
- verified exact
- doi, observed 2026-08-10T00:50:57.514223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c2d8e1c2-3a87-4630-94f7-e446f6010c5e · outbound
This paper cites Probabilistic transient thermal analysis of an atmospheric reentry vehicle structure,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Probabilistic transient thermal analysis of an atmospheric reentry vehicle structure,
Reference 22
- Resolution
- verified exact
- doi, observed 2026-08-10T00:50:57.498844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation af280946-8532-48a0-88aa-da90d4d3b11f · outbound
This paper cites an unresolved cited work.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Unresolved cited work
Reference 23
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 93882311-cf58-47d4-90b5-f33caf54fcdb · outbound
This paper cites Monte Carlo Treatment of Data Uncertainties in Thermal Analysis,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Monte Carlo Treatment of Data Uncertainties in Thermal Analysis,
Reference 24
- Resolution
- verified exact
- doi, observed 2026-08-10T00:50:57.308927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 369642e6-8bba-49b7-984d-814e28421f80 · outbound
This paper cites an unresolved cited work.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T00:50:58.767394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c19848a9-02bb-4356-98c7-f32d350c9fc9 · outbound
This paper cites Reliability-Based Optimization for Multidisciplinary System Design,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Reliability-Based Optimization for Multidisciplinary System Design,
Reference 26
- Resolution
- verified exact
- doi, observed 2026-08-10T00:50:57.482690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 850f6853-1ee2-4a7b-8b00-5c753c9e7880 · outbound
This paper cites Probabilistic Design of a Mars Sample Return Earth Entry Vehicle Thermal Protection System,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Probabilistic Design of a Mars Sample Return Earth Entry Vehicle Thermal Protection System,
Reference 27
- Resolution
- verified exact
- raw_fallback, observed 2026-08-10T00:50:58.300722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2dff1f66-8219-467f-bc01-9cd2e3346084 · outbound
This paper cites an unresolved cited work.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Unresolved cited work
Reference 28
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8cb70624-1ae7-4568-b921-610079f214c1 · outbound
This paper cites Heat Conduction Plate Layout Optimization Using Physics-Driven Convolutional Neural Networks,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Heat Conduction Plate Layout Optimization Using Physics-Driven Convolutional Neural Networks,
Reference 29
- Resolution
- verified exact
- doi, observed 2026-08-10T00:50:57.455015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 63d7282e-5b17-4912-ac50-530a285cb3a9 · outbound
This paper cites On Machine-Learning-Driven Surrogates for Sound Transmission Loss Simulations,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network On Machine-Learning-Driven Surrogates for Sound Transmission Loss Simulations,
Reference 30
- Resolution
- verified exact
- doi, observed 2026-08-10T00:50:57.439979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation bad1d9b9-6fae-4e4b-9ac9-70b189721aaf · outbound
This paper cites Uncertainty Analysis of Integrated Thermal Protection System with Rigid Insulation Bars,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Uncertainty Analysis of Integrated Thermal Protection System with Rigid Insulation Bars,
Reference 31
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation fd7b5e58-1aaf-4349-84ad-6b28333a9668 · outbound
This paper cites Uncertainty Quantification of Aero-Thermal Performance of a Blade Endwall Considering Slot Geometry Deviation and Mainstream Fluctuation,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Uncertainty Quantification of Aero-Thermal Performance of a Blade Endwall Considering Slot Geometry Deviation and Mainstream Fluctuation,
Reference 32
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 093fce07-afc2-42e2-b492-da9ba76c42ed · outbound
This paper cites Thermo-mechanical optimization of metallic thermal protection system under aerodynamic heating,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Thermo-mechanical optimization of metallic thermal protection system under aerodynamic heating,
Reference 33
- Resolution
- verified exact
- doi, observed 2026-08-10T00:50:57.390424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 11c33383-1b4c-4d15-ac8c-9162ad29b4e4 · outbound
This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,
Reference 34
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 000864ae-6bb6-4e2a-9f9b-f76d1dae1a68 · outbound
This paper cites Towards a Hybrid Digital Twin: Physics-Informed Neural Networks as Surrogate Model of a Reinforced Concrete Beam,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Towards a Hybrid Digital Twin: Physics-Informed Neural Networks as Surrogate Model of a Reinforced Concrete Beam,
Reference 35
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0f7c2269-50d0-4f3a-b85a-5e25889d12ca · outbound
This paper cites A PINN Surrogate Modeling Methodology for Steady- State Integrated Thermofluid Systems Modeling,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network A PINN Surrogate Modeling Methodology for Steady- State Integrated Thermofluid Systems Modeling,
Reference 36
- Resolution
- verified exact
- doi, observed 2026-08-10T00:50:57.363734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 500fdaa4-12c1-4ba9-81f3-505ee0eac099 · outbound
This paper cites PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model
Reference 37
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d4b5abb7-ba90-4011-9628-cb69f2860318 · outbound
This paper cites Physics-Informed Deep Learning- Based Modeling of a Novel Elastohydrodynamic Seal for Supercritical CO2 Turbomachinery,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Physics-Informed Deep Learning- Based Modeling of a Novel Elastohydrodynamic Seal for Supercritical CO2 Turbomachinery,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T00:50:58.542690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3b071b8c-3330-4f1c-b15e-d78922a98e01 · outbound
This paper cites Apollo thermal- protection system development,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Apollo thermal- protection system development,
Reference 39
- Resolution
- verified exact
- doi, observed 2026-08-10T00:50:57.325060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1a327d80-8cca-45f1-8233-9e2989a6d316 · outbound
This paper cites Probabilistic Modeling of Aerothermal and Thermal Protection Material Response Uncertainties,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Probabilistic Modeling of Aerothermal and Thermal Protection Material Response Uncertainties,
Reference 40
- Resolution
- verified exact
- doi, observed 2026-08-10T00:50:57.292830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a56c3563-48aa-41fc-ad7c-845f2ba128d1 · outbound
This paper cites A survey of Monte Carlo methods for parameter estimation,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network A survey of Monte Carlo methods for parameter estimation,
Reference 41
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d75a644-dcfe-4f5d-acd3-ed03c67ec06d · outbound
This paper cites Efficient Sequential Monte-Carlo Samplers for Bayesian Inference.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Efficient Sequential Monte-Carlo Samplers for Bayesian Inference
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T00:50:57.266519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 54fd52ce-744e-4452-987c-c167fc9a365b · outbound
This paper cites A probabilistic fatigue life prediction for adhesively bonded joints via ANNs-based hybrid model,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network A probabilistic fatigue life prediction for adhesively bonded joints via ANNs-based hybrid model,
Reference 43
- Resolution
- verified exact
- arxiv_id_nonexistent, observed 2026-08-10T00:50:57.913628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9fe1be49-6000-4d4a-8cf2-0766681883b2 · outbound
This paper cites SpaceX to use LG Energy batteries for Starship rocket,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network SpaceX to use LG Energy batteries for Starship rocket,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T00:50:58.527288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cf0d45e0-7e89-4977-9a84-8b5fffc3ff5f · outbound
This paper cites an unresolved cited work.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T00:50:58.511281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2a91bcb7-6603-4068-8805-c26a5c2ba18a · outbound
This paper cites Implicit-explicit Runge-Kutta methods for time- dependent partial differential equations,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Implicit-explicit Runge-Kutta methods for time- dependent partial differential equations,
Reference 46
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2965f89d-08e3-44d8-80f5-3a3151a707e0 · outbound
This paper cites Automatic differentiation in machine learning: a survey.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Automatic differentiation in machine learning: a survey
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T00:50:57.097070Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 359eb79f-9069-4d6b-979d-a86430f2d3e0 · outbound
This paper cites Deep learning | Nature.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Deep learning | Nature
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T00:50:58.496209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5101f2ca-784c-4657-8009-09c7e0b6f034 · outbound
This paper cites A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics - ScienceDirect.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics - ScienceDirect
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T00:50:58.480542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 17d341be-9377-45a0-832c-ad0f25c4b15e · outbound
This paper cites Deep Sparse Rectifier Neural Networks,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Deep Sparse Rectifier Neural Networks,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T00:50:58.464001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f7d2c267-ec46-4ec7-a3e6-1e776ee9fec5 · outbound
This paper cites The Metropolis-Hastings algorithm.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network The Metropolis-Hastings algorithm
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T00:50:57.117016Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9efd52f-27ae-4cee-929f-81be4e67249d · outbound
This paper cites A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T00:50:57.201049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0dbf2544-2a3a-474e-ab55-5bb7699b8e34 · outbound
This paper cites Sequential monte carlo: Enabling real-time and high-fidelity prognostics,.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Sequential monte carlo: Enabling real-time and high-fidelity prognostics,
Reference 53
- Resolution
- verified exact
- raw_fallback, observed 2026-08-10T00:50:57.748914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1f9cda53-e094-4b1c-8151-acefba5b3bf5 · outbound
This paper cites Thermal Characterization of Carbon Fiber-Reinforced Carbon Composites (C/C),.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Thermal Characterization of Carbon Fiber-Reinforced Carbon Composites (C/C),
Reference 54
- Resolution
- malformed identifier
- doi_truncated, observed 2026-08-10T00:50:57.177607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4a4daee0-da5b-4ce2-ac65-580b4a903199 · outbound
This paper cites an unresolved cited work.
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network Unresolved cited work
Reference 55
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T00:50:58.448009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
No inbound Pith citation observations are available.