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Journal Articles

A physics-driven method for determining wheel-rail contact area with gradient-based optimization

Long Liu, Bing Yi, Daping Li

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-22-1204

DOI: https://doi.org/10.1115/1.4056921

Published Online: February 17, 2023

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Topics: Optimization, Physics, Rails, Wheels

Journal Articles

SURFACE LINE INTEGRAL CONVOLUTION-BASED VORTEX DETECTION USING COMPUTER VISION

Hazem Ashor Amran Abolholl, Tom-Robin Teschner, Irene Moulitsas

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-22-1222

DOI: https://doi.org/10.1115/1.4056660

Published Online: January 11, 2023

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Topics: Computers, Vortices, Flow (Dynamics), Artificial neural networks, Engineering simulation, Engineering systems and industry applications, Filters, Flow instability, Fluid dynamics, Fluid mechanics

Journal Articles

Multifidelity Physics-Constrained Neural Networks With Minimax Architecture

Dehao Liu, Pranav Pusarla, Yan Wang

J. Comput. Inf. Sci. Eng. June 2023, 23(3): 031008.

Paper No: JCISE-22-1159

DOI: https://doi.org/10.1115/1.4055316

Published Online: December 9, 2022

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Topics: Artificial neural networks, Heat transfer, Phase transitions, Physics, Machine learning, Temperature, Modeling, Optimization

Journal Articles

Physics Informed Synthetic Image Generation for Deep Learning-Based Detection of Wrinkles and Folds

Omey M. Manyar, Junyan Cheng, Reuben Levine, Vihan Krishnan, Jernej Barbič, Satyandra K. Gupta

J. Comput. Inf. Sci. Eng. June 2023, 23(3): 030903.

Paper No: JCISE-22-1284

DOI: https://doi.org/10.1115/1.4056295

Published Online: December 9, 2022

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Topics: Composite materials, Failure, Flaw detection, Physics, Pipelines, Texture (Materials), Manufacturing, Simulation, Carbon fibers, Image segmentation

Journal Articles

Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction

Luka Malashkhia, Dehao Liu, Yanglong Lu, Yan Wang

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011012.

Paper No: JCISE-22-1123

DOI: https://doi.org/10.1115/1.4055924

Published Online: November 8, 2022

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Topics: Algorithms, Artificial neural networks, Heat transfer, Physics, Simulation, Temperature, Uncertainty, Phase transitions, Finite element methods, Additive manufacturing

Journal Articles

Monotonic Gaussian Process for Physics-Constrained Machine Learning With Materials Science Applications

Anh Tran, Kathryn Maupin, Theron Rodgers

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011011.

Paper No: JCISE-22-1017

DOI: https://doi.org/10.1115/1.4055852

Published Online: October 20, 2022

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Topics: Machine learning, Materials science, Physics, Stress, Testing, Crystals, Plasticity, Simulation, Noise (Sound), Finite element analysis

Journal Articles

Acceleration of a Physics-Based Machine Learning Approach for Modeling and Quantifying Model-Form Uncertainties and Performing Model Updating

Marie-Jo Azzi, Chady Ghnatios, Philip Avery, Charbel Farhat

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011009.

Paper No: JCISE-22-1149

DOI: https://doi.org/10.1115/1.4055546

Published Online: September 27, 2022

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Topics: Approximation, Computer simulation, Construction, Dimensions, Machine learning, Modeling, Nozzles, Physics, Robustness, Simulation

Journal Articles

JCISE Editorial – August 2022

Yan Wang

J. Comput. Inf. Sci. Eng. August 2022, 22(4): 040201.

Paper No: JCISE-22-1198

DOI: https://doi.org/10.1115/1.4054864

Published Online: July 1, 2022

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Topics: Additive manufacturing, Artificial intelligence, Augmented reality, Casting, China, Cities, Cloud computing, Collaboration, Complex systems, Computation

Journal Articles

Sub-Second Prediction of the Heatmap of Powder-Beds in Additive Manufacturing Using Deep Encoder–Decoder Convolutional Neural Networks

Ardalan R. Sofi, Bahram Ravani

J. Comput. Inf. Sci. Eng. April 2023, 23(2): 021008.

Paper No: JCISE-22-1035

DOI: https://doi.org/10.1115/1.4054559

Published Online: June 7, 2022

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Topics: Artificial neural networks, Lasers, Physics, Simulation, Additive manufacturing, Temperature, Manufacturing, Trajectories (Physics)

Journal Articles

Solving Inverse Heat Transfer Problems Without Surrogate Models: A Fast, Data-Sparse, Physics Informed Neural Network Approach

Vivek Oommen, Balaji Srinivasan

J. Comput. Inf. Sci. Eng. August 2022, 22(4): 041012.

Paper No: JCISE-21-1348

DOI: https://doi.org/10.1115/1.4053800

Published Online: March 10, 2022

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Topics: Artificial neural networks, Errors, Heat, Heat transfer, Physics, Temperature, Neural network models, Error analysis, Inverse problems, Machine learning

Journal Articles

Using Physics-Informed Generative Adversarial Networks to Perform Super-Resolution for Multiphase Fluid Simulations

Matthew Li, Christopher McComb

J. Comput. Inf. Sci. Eng. August 2022, 22(4): 044501.

Paper No: JCISE-21-1160

DOI: https://doi.org/10.1115/1.4053671

Published Online: February 21, 2022

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Topics: Computational fluid dynamics, Fluids, Physics, Resolution (Optics), Simulation, Engineering simulation, Turbulence

Journal Articles

A Normal Equation-Based Extreme Learning Machine for Solving Linear Partial Differential Equations

Vikas Dwivedi, Balaji Srinivasan

J. Comput. Inf. Sci. Eng. February 2022, 22(1): 014502.

Paper No: JCISE-21-1079

DOI: https://doi.org/10.1115/1.4051530

Published Online: July 14, 2021

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Topics: Diffusion (Physics), Errors, Function approximation, Machinery, Partial differential equations, Physics, Artificial neural networks, Differential equations, Performance evaluation, Numerical analysis

Journal Articles

Hybrid Modeling Approach for Melt-Pool Prediction in Laser Powder Bed Fusion Additive Manufacturing

Tesfaye Moges, Zhuo Yang, Kevontrez Jones, Shaw Feng, Paul Witherell, Yan Lu

J. Comput. Inf. Sci. Eng. October 2021, 21(5): 050902.

Paper No: JCISE-20-1259

DOI: https://doi.org/10.1115/1.4050044

Published Online: May 12, 2021

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Topics: Lasers, Modeling, Physics, Simulation, Computational fluid dynamics, Errors, Additive manufacturing, Polynomials

Journal Articles

Multiscale Tomographic Wave–Matter Interaction Modeling to Enable Artifact-Free Material Defect Reconstruction

John C. Steuben, John G. Michopoulos, Athanasios P. Iliopoulos, Benjamin D. Graber, Andrew J. Birnbaum

J. Comput. Inf. Sci. Eng. October 2021, 21(5): 050901.

Paper No: JCISE-20-1256

DOI: https://doi.org/10.1115/1.4049760

Published Online: May 10, 2021

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Topics: Geometry, Modeling, Sensors, Simulation, Waves, X-rays, Errors, Algorithms, Wave equations, Computerized tomography

Journal Articles

Physics-Based Compressive Sensing to Enable Digital Twins of Additive Manufacturing Processes

Yanglong Lu, Eduard Shevtshenko, Yan Wang

J. Comput. Inf. Sci. Eng. June 2021, 21(3): 031009.

Paper No: JCISE-20-1239

DOI: https://doi.org/10.1115/1.4050377

Published Online: March 25, 2021

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Topics: Additive manufacturing, Cooling, Physics, Temperature, Temperature distribution, Errors, Process monitoring, Gears

Journal Articles

Physics-Based Gaussian Process Method for Predicting Average Product Lifetime in Design Stage

Xinpeng Wei, Daoru Han, Xiaoping Du

J. Comput. Inf. Sci. Eng. August 2021, 21(4): 041006.

Paper No: JCISE-20-1217

DOI: https://doi.org/10.1115/1.4049509

Published Online: February 11, 2021

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Topics: Design, Failure, Physics, Reliability, Stochastic processes, Event history analysis, Statistics, Testing, Errors, Experimental design

Journal Articles

A Performance Analysis of Phantom-Cell Adaptive Mesh Refinement on CPUs and GPUs

Daniel J. Dunning, Robert W. Robey, Jeffery A. Kuehn, Jeanine Cook

J. Comput. Inf. Sci. Eng. February 2021, 21(1): 011011.

Paper No: JCISE-20-1101

DOI: https://doi.org/10.1115/1.4048717

Published Online: December 10, 2020

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Topics: Graphics processing units, Phantoms, Physics, Optimization, Hardware

Journal Articles

Fault Adaptive Mission Planning: Increasing Useful-Life and Reducing Downtime Through Condition-Based Decision-Making

Charlie DeStefano, David Jensen

J. Comput. Inf. Sci. Eng. December 2020, 20(6): 061013.

Paper No: JCISE-19-1059

DOI: https://doi.org/10.1115/1.4047354

Published Online: June 22, 2020

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Topics: Complex systems, Failure, Maintenance, Robots, Service life (Equipment), Downtime, Decision making, Simulation, Physics

Journal Articles

Physics-Informed Neural Networks for Missing Physics Estimation in Cumulative Damage Models: A Case Study in Corrosion Fatigue

Arinan Dourado, Felipe A. C. Viana

J. Comput. Inf. Sci. Eng. December 2020, 20(6): 061007.

Paper No: JCISE-20-1017

DOI: https://doi.org/10.1115/1.4047173

Published Online: June 12, 2020

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Topics: Artificial neural networks, Corrosion, Damage, Fatigue, Physics, Fracture (Materials), Aircraft

Journal Articles

Solution of Biharmonic Equation in Complicated Geometries With Physics Informed Extreme Learning Machine

Vikas Dwivedi, Balaji Srinivasan

J. Comput. Inf. Sci. Eng. December 2020, 20(6): 061004.

Paper No: JCISE-19-1306

DOI: https://doi.org/10.1115/1.4046892

Published Online: May 26, 2020

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Topics: Artificial neural networks, Errors, Machinery, Numerical analysis, Physics, Algorithms

Journal citation

NARROW

Manuscript

A physics-driven method for determining wheel-rail contact area with gradient-based optimization

SURFACE LINE INTEGRAL CONVOLUTION-BASED VORTEX DETECTION USING COMPUTER VISION

Multifidelity Physics-Constrained Neural Networks With Minimax Architecture

Physics Informed Synthetic Image Generation for Deep Learning-Based Detection of Wrinkles and Folds

Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction

Monotonic Gaussian Process for Physics-Constrained Machine Learning With Materials Science Applications

Acceleration of a Physics-Based Machine Learning Approach for Modeling and Quantifying Model-Form Uncertainties and Performing Model Updating

JCISE Editorial – August 2022

Sub-Second Prediction of the Heatmap of Powder-Beds in Additive Manufacturing Using Deep Encoder–Decoder Convolutional Neural Networks

Solving Inverse Heat Transfer Problems Without Surrogate Models: A Fast, Data-Sparse, Physics Informed Neural Network Approach

Using Physics-Informed Generative Adversarial Networks to Perform Super-Resolution for Multiphase Fluid Simulations

A Normal Equation-Based Extreme Learning Machine for Solving Linear Partial Differential Equations

Hybrid Modeling Approach for Melt-Pool Prediction in Laser Powder Bed Fusion Additive Manufacturing

Multiscale Tomographic Wave–Matter Interaction Modeling to Enable Artifact-Free Material Defect Reconstruction

Physics-Based Compressive Sensing to Enable Digital Twins of Additive Manufacturing Processes

Physics-Based Gaussian Process Method for Predicting Average Product Lifetime in Design Stage

A Performance Analysis of Phantom-Cell Adaptive Mesh Refinement on CPUs and GPUs

Fault Adaptive Mission Planning: Increasing Useful-Life and Reducing Downtime Through Condition-Based Decision-Making

Physics-Informed Neural Networks for Missing Physics Estimation in Cumulative Damage Models: A Case Study in Corrosion Fatigue

Solution of Biharmonic Equation in Complicated Geometries With Physics Informed Extreme Learning Machine

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