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Journal Articles

Special Issue: Scientific Machine Learning for Manufacturing Processes and Material Systems

John Michopoulos, Anindya Bhaduri, Francisco Chinesta, Elias Cueto, Dehao Liu, Sandipp Krishnan Ravi, Jian-Xun Wang

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-24-1524

https://doi.org/10.1115/1.4066791

Published Online: October 4, 2024

... Data-Driven engineering Machine Learning for Engineering Applications Journal of Computing and Information Science in Engineering. Received September 30, 2024; Accepted manuscript posted October 01, 2024. doi:10.1115/1.4066791 Copyright © 2024 by ASME Guest Editorial ASME Journal of Computing...

View Article titled, Special Issue: Scientific Machine Learning for Manufacturing Processes and Material Systems

Topics: Machine learning, Manufacturing, Artificial intelligence, Computer-aided engineering, Computer-aided manufacturing, Engineering systems and industry applications

Journal Articles

A Conceptual Design Method based on C-K Theory and Large Language Models

Liuqing Chen, Duowei Xia, Zhaojun Jiang, Xinyang Tan, Lingyun Sun, Lin Zhang

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-24-1283

https://doi.org/10.1115/1.4066773

Published Online: October 3, 2024

... Engineering Machine Learning for Engineering Applications Journal of Computing and Information Science in Engineering. Received May 28, 2024; Accepted manuscript posted September 24, 2024. doi:10.1115/1.4066773 Copyright © 2024 by ASME Accepted Manuscript Not Copyedited A Conceptual Design Method based...

View Article titled, A Conceptual Design Method based on C-K Theory and Large Language Models

Topics: Conceptual design, Large language models, Design, Engineering systems and industry applications, Machine learning, Space, Wearable devices

Journal Articles

Evaluating Large Language Models for Material Selection

Daniele Grandi, Yash Patawari Jain, Allin Groom, Brandon Cramer, Christopher McComb

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-24-1207

https://doi.org/10.1115/1.4066730

Published Online: September 30, 2024

...: brandon.stewart.cramer@autodesk.com Email: ccm@cmu.edu Artificial Intelligence Data-Driven engineering Machine Learning for Engineering Applications Journal of Computing and Information Science in Engineering. Received April 19, 2024; Accepted manuscript posted September 19, 2024. doi:10.1115/1.4066730...

View Article titled, Evaluating Large Language Models for Material Selection

Topics: Large language models, Design, Artificial intelligence, Conceptual design, Decision making, Engineering systems and industry applications, Failure mechanisms, Machine learning, Preferences, Product design

Journal Articles

Experimental Investigation Using Robust Deep VMD-ICA and 1D-CNN for Condition Monitoring of Roller Element Bearing

Vishal G. Salunkhe, S.M. Khot, Prashant S. Jadhav, Nitesh Yelve, Mahadev B. Kumbhar

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-23-1573

https://doi.org/10.1115/1.4066595

Published Online: September 19, 2024

.... Sci., 10, pp.1696-10. [27] Fu, L., Ma, Z., Wu, D., Liu, J., Xu, F., Zhong, Q., Zhu, T., 2022, Bearing Cog: A Bearing Fault Diagnosis Method under Variable Operational Conditions, Appl. Sci., 12, pp. 524015. Accepted Manuscript Not Copyedited Machine Learning for Engineering Applications Model...

View Article titled, Experimental Investigation Using Robust Deep VMD-ICA and 1D-CNN for Condition Monitoring of Roller Element Bearing

Topics: Bearings, Condition monitoring, Convolutional neural networks, Rollers, Machinery, Failure, Independent component analysis, Noise (Sound), Vibration, Computer simulation

Journal Articles

A Review of the Applications of Machine Learning for Prediction and Analysis of Mechanical Properties and Microstructures in Additive Manufacturing

Atharv Deshmankar, Jagat Sesh Challa, Amit Singh, Srinivasa Prakash Regalla

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-24-1227

https://doi.org/10.1115/1.4066575

Published Online: September 18, 2024

... Foundations for Additive Manufacturing Data-Driven engineering Machine Learning for Engineering Applications Accepted Manuscript Not Copyedited Journal of Computing and Information Science in Engineering. Received April 25, 2024; Accepted manuscript posted September 01, 2024. doi:10.1115/1.4066575...

View Article titled, A Review of the Applications of Machine Learning for Prediction and Analysis of Mechanical Properties and Microstructures in Additive Manufacturing

Topics: Additive manufacturing, Machine learning, Mechanical properties

Journal Articles

Unsupervised Anomaly Detection via Nonlinear Manifold Learning

Amin Yousefpour, Mehdi Shishehbor, Zahra Zanjani Foumani, Ramin Bostanabad

Publisher: ASME

J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111008.

Paper No: JCISE-23-1278

https://doi.org/10.1115/1.4063642

Published Online: August 6, 2024

... artificial intelligence data-driven engineering inverse methods for engineering applications machine learning for engineering applications 08 06 2023 28 09 2023 29 09 2023 06 08 2024 1 Corresponding author. Email: raminb@uci.edu Email: zzanjani@uci.edu Email...

View Article titled, Unsupervised Anomaly Detection via Nonlinear Manifold Learning

Topics: Manifolds, Errors

Journal Articles

Stress Representations for Tensor Basis Neural Networks: Alternative Formulations to Finger–Rivlin–Ericksen

Jan N. Fuhg, Nikolaos Bouklas, Reese E. Jones

Publisher: ASME

J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111007.

Paper No: JCISE-23-1423

https://doi.org/10.1115/1.4064650

Published Online: August 6, 2024

...-NA-0003525 data-driven engineering machine learning for engineering applications stress representations tensor basis neural networks Graphical Abstract Figure 21 08 2023 22 01 2024 22 01 2024 06 08 2024 This work is in part a work of the U.S...

View Article titled, Stress Representations for Tensor Basis Neural Networks: Alternative Formulations to Finger–Rivlin–Ericksen

Topics: Artificial neural networks, Stress, Tensors, Errors

Journal Articles

Engineering-Guided Deep Learning of Melt-Pool Dynamics for Additive Manufacturing Quality Monitoring

Siqi Zhang, Hui Yang, Zhuo Yang, Yan Lu

Publisher: ASME

J. Comput. Inf. Sci. Eng. October 2024, 24(10): 101002.

Paper No: JCISE-23-1574

https://doi.org/10.1115/1.4066026

Published Online: August 6, 2024

... Abstract Figure feature learning engineering knowledge process monitoring quality control additive manufacturing melt pool artificial intelligence data-driven engineering engineering informatics machine learning for engineering applications National Institute of Standards...

View Article titled, Engineering-Guided Deep Learning of Melt-Pool Dynamics for Additive Manufacturing Quality Monitoring

Topics: Additive manufacturing, Deep learning, Density, Dynamics (Mechanics), Manufacturing, Modeling, Spatiotemporal phenomena, Process monitoring, Lasers, Quality control

Journal Articles

Multi-Unmanned Aerial Vehicle-Assisted Flood Navigation of Waterborne Vehicles Using Deep Reinforcement Learning

Armaan Garg, Shashi Shekhar Jha

Publisher: ASME

J. Comput. Inf. Sci. Eng. October 2024, 24(10): 101003.

Paper No: JCISE-24-1070

https://doi.org/10.1115/1.4066025

Published Online: August 6, 2024

... 06 08 2024 Graphical Abstract Figure artificial intelligence machine learning for engineering applications Floods are one of the most critical and frequently occurring calamities across different parts of the world. In the decade spanning from 2010 to 2019, the global...

View Article titled, Multi-Unmanned Aerial Vehicle-Assisted Flood Navigation of Waterborne Vehicles Using Deep Reinforcement Learning

Topics: Algorithms, Floods, Path planning, Unmanned aerial vehicles, Vehicles, Deep reinforcement learning, Water, Navigation

Journal Articles

Reconstruction and Generation of Porous Metamaterial Units via Variational Graph Autoencoder and Large Language Model

Kiarash Naghavi Khanghah, Zihan Wang, Hongyi Xu

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-24-1176

https://doi.org/10.1115/1.4066095

Published Online: July 31, 2024

... Email: zihan.5.wang@uconn.edu 05 04 2024 16 07 2024 27 07 2024 31 07 2024 Artificial Intelligence Computer Aided Design Machine Learning for Engineering Applications Topology and Shape Optimization National Science Foundation 10.13039/100000001 CMMI-2142290...

View Article titled, Reconstruction and Generation of Porous Metamaterial Units via Variational Graph Autoencoder and Large Language Model

Topics: Large language models, Metamaterials, Design, Artificial intelligence, Computer-aided design, Databases, Engineering systems and industry applications, Machine learning, Shape optimization, Topology

Journal Articles

Probabilistic Printability Maps for Laser Powder Bed Fusion Via Functional Calibration and Uncertainty Propagation

Nicholas Wu, Brendan Whalen, Ji Ma, Prasanna V. Balachandran

Publisher: ASME

J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111001.

Paper No: JCISE-23-1151

https://doi.org/10.1115/1.4063727

Published Online: July 22, 2024

... 2023 06 10 2023 22 07 2024 computational foundations for additive manufacturing data-driven engineering engineering informatics machine learning for engineering applications process modeling for engineering applications Additive manufacturing (AM) technologies are a class...

View Article titled, Probabilistic Printability Maps for Laser Powder Bed Fusion Via Functional Calibration and Uncertainty Propagation

Topics: Calibration, Lasers, Porosity, Uncertainty, Modeling, Geometry

Includes: Supplementary data

Journal Articles

A Physics-Informed General Convolutional Network for the Computational Modeling of Materials With Damage

Jake A. Janssen, Ghadir Haikal, Erin C. DeCarlo, Michael J. Hartnett, Matthew L. Kirby

Publisher: ASME

J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111002.

Paper No: JCISE-23-1295

https://doi.org/10.1115/1.4063863

Published Online: July 22, 2024

... machine learning for engineering applications physics-based simulations 22 06 2023 11 10 2023 12 10 2023 22 07 2024 1 Jake Janssen and Ghadir Haikal are co-first authors, as they contributed equally to this work. 2 Corresponding author. Email: matthew.kirby...

View Article titled, A Physics-Informed General Convolutional Network for the Computational Modeling of Materials With Damage

Topics: Boundary-value problems, Errors, Physics, Stress, Displacement, Finite element analysis, Damage, Geometry, Convolutional neural networks

Journal Articles

Multi-Fidelity Physics-Informed Generative Adversarial Network for Solving Partial Differential Equations

Mehdi Taghizadeh, Mohammad Amin Nabian, Negin Alemazkoor

Publisher: ASME

J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111003.

Paper No: JCISE-23-1369

https://doi.org/10.1115/1.4063986

Published Online: July 22, 2024

... such as stability, accuracy, and computational cost. artificial intelligence machine learning for engineering applications physics-based simulations 17 07 2023 26 10 2023 31 10 2023 22 07 2024 1 Corresponding author. Email: na7fp@virginia.edu Email: mnabian@nvidia.com...

View Article titled, Multi-Fidelity Physics-Informed Generative Adversarial Network for Solving Partial Differential Equations

Topics: Generative adversarial networks, Generators, Hafnium, Physics, Artificial neural networks, Partial differential equations, Errors

Journal Articles

An Enhanced Modeling Framework for Bearing Fault Simulation and Machine Learning-Based Identification With Bayesian-Optimized Hyperparameter Tuning

Ricardo Ortiz, Piedad Miranda-Chiquito, Angel Encalada-Davila, Luis E. Marquez, Christian Tutiven, Eleni Chatzi, Christian E. Silva

Publisher: ASME

J. Comput. Inf. Sci. Eng. September 2024, 24(9): 091002.

Paper No: JCISE-24-1035

https://doi.org/10.1115/1.4065777

Published Online: July 5, 2024

... artificial intelligence machine learning for engineering applications multiphysics modeling and simulation physics-based simulations Decision support for optimal operation and maintenance (O&M) of bearing systems in rotational machinery is the key to optimal operation of such systems around...

View Article titled, An Enhanced Modeling Framework for Bearing Fault Simulation and Machine Learning-Based Identification With Bayesian-Optimized Hyperparameter Tuning

Topics: Bearings, Modeling, Algorithms, Simulation, Signals, Machine learning, Machinery

Journal Articles

Semi-Supervised Approach Using Transductive Support Vector Machine for Internal Leakage Detection in Two-Stage Hydraulic Cylinder

Jatin Prakash, Ankur Miglani, P. K. Kankar

Publisher: ASME

J. Comput. Inf. Sci. Eng. August 2024, 24(8): 084504.

Paper No: JCISE-23-1555

https://doi.org/10.1115/1.4065526

Published Online: June 7, 2024

... monitoring two-stage cylinders artificial intelligence data-driven engineering machine learning for engineering applications References [1] “Advantages of Using a Hydraulic System,” https://www.yukeneurope.com/advantages-of-using-a-hydraulic-system/ , Accessed September 6, 2021. [2...

View Article titled, Semi-Supervised Approach Using Transductive Support Vector Machine for Internal Leakage Detection in Two-Stage Hydraulic Cylinder

Topics: Cylinders, Hydraulic cylinders, Leakage, Pressure, Support vector machines, Signals

Journal Articles

Supply and Demand Balance Control Strategy for Microgrids Considering Uncertainty and Disturbance Based on Online H ∞ Policy Iteration

Yang Liu, Zhanpeng Jiang, Zuoxia Xing, Hengyu Liu, Pengtao Li, Xingfan Han

Publisher: ASME

J. Comput. Inf. Sci. Eng. September 2024, 24(9): 090902.

Paper No: JCISE-23-1282

https://doi.org/10.1115/1.4064823

Published Online: June 7, 2024

... Email: 815481423@qq.com 13 06 2023 15 02 2024 15 02 2024 07 06 2024 Graphical Abstract Figure machine learning for engineering applications micogrid power supply and demand energy storage system With the improvement of people’s living standards...

View Article titled, Supply and Demand Balance Control Strategy for Microgrids Considering Uncertainty and Disturbance Based on Online H ∞ Policy Iteration

Topics: Microgrids, Supply and demand, Uncertainty, Energy storage, Stress, Simulation analysis, Turbines, Algorithms

Journal Articles

Impact of Task Constraint on Agent Team Size of Self-Organizing Systems Measured by Effective Entropy

Hao Ji, Yan Jin

Publisher: ASME

J. Comput. Inf. Sci. Eng. August 2024, 24(8): 081004.

Paper No: JCISE-23-1071

https://doi.org/10.1115/1.4065343

Published Online: May 31, 2024

... entropy multiagent deep reinforcement learning artificial intelligence engineering informatics machine learning for engineering applications Self-organizing systems (SOS) can consist of simple agents that work cooperatively to achieve complex system-level behaviors without requiring global...

View Article titled, Impact of Task Constraint on Agent Team Size of Self-Organizing Systems Measured by Effective Entropy

Topics: Entropy, Self-organization, Teams, Reinforcement learning

Journal Articles

Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset

Evangéline Capiez-Lernout, Olivier Ezvan, Christian Soize

Publisher: ASME

J. Comput. Inf. Sci. Eng. June 2024, 24(6): 061006.

Paper No: JCISE-24-1025

https://doi.org/10.1115/1.4065312

Published Online: May 9, 2024

... probabilistic learning uncertainty quantification nonlinear stochastic dynamics surrogate model partial information statistical inverse problem nozzle machine learning for engineering applications data-driven engineering inverse methods for engineering applications physics-based simulations...

View Article titled, Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset

Topics: Computer simulation, Nozzles, Dynamics (Mechanics), Probability, Stress

Journal Articles

An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults

Michael Ibrahim, Heraldo Rozas, Nagi Gebraeel

Publisher: ASME

J. Comput. Inf. Sci. Eng. June 2024, 24(6): 061003.

Paper No: JCISE-23-1426

https://doi.org/10.1115/1.4065212

Published Online: April 23, 2024

.... National Aeronautics and Space Administration 10.13039/100000104 80NSSC19K1052 artificial intelligence data-driven engineering engineering informatics machine learning for engineering applications Graphical Abstract Figure 22 08 2023 27 02 2024 29 02 2024 23...

View Article titled, An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults

Topics: Dynamic time warping, Motors, Probability, Quality control charts, Signals, Sensors, Failure, Modeling, Vehicles, Engines

Journal Articles

Diffusion Generative Model-Based Learning for Smart Layer-Wise Monitoring of Additive Manufacturing

Emmanuel Yangue, Durant Fullington, Owen Smith, Wenmeng Tian, Chenang Liu

Publisher: ASME

J. Comput. Inf. Sci. Eng. June 2024, 24(6): 060903.

Paper No: JCISE-23-1460

https://doi.org/10.1115/1.4065092

Published Online: April 22, 2024

... 03 2024 11 03 2024 22 04 2024 Graphical Abstract Figure additive manufacturing generative models denoising diffusion implicit model kernel inception distance layer-wise monitoring artificial intelligence machine learning for engineering applications process...

View Article titled, Diffusion Generative Model-Based Learning for Smart Layer-Wise Monitoring of Additive Manufacturing

Topics: Additive manufacturing, Diffusion (Physics), Ablation (Vaporization technology), Generative adversarial networks, Errors, Deep learning

Journal citation

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Supplemental Material

Manuscript

Special Issue: Scientific Machine Learning for Manufacturing Processes and Material Systems

A Conceptual Design Method based on C-K Theory and Large Language Models

Evaluating Large Language Models for Material Selection

Experimental Investigation Using Robust Deep VMD-ICA and 1D-CNN for Condition Monitoring of Roller Element Bearing

A Review of the Applications of Machine Learning for Prediction and Analysis of Mechanical Properties and Microstructures in Additive Manufacturing

Unsupervised Anomaly Detection via Nonlinear Manifold Learning

Stress Representations for Tensor Basis Neural Networks: Alternative Formulations to Finger–Rivlin–Ericksen

Engineering-Guided Deep Learning of Melt-Pool Dynamics for Additive Manufacturing Quality Monitoring

Multi-Unmanned Aerial Vehicle-Assisted Flood Navigation of Waterborne Vehicles Using Deep Reinforcement Learning

Reconstruction and Generation of Porous Metamaterial Units via Variational Graph Autoencoder and Large Language Model

Probabilistic Printability Maps for Laser Powder Bed Fusion Via Functional Calibration and Uncertainty Propagation

A Physics-Informed General Convolutional Network for the Computational Modeling of Materials With Damage

Multi-Fidelity Physics-Informed Generative Adversarial Network for Solving Partial Differential Equations

An Enhanced Modeling Framework for Bearing Fault Simulation and Machine Learning-Based Identification With Bayesian-Optimized Hyperparameter Tuning

Semi-Supervised Approach Using Transductive Support Vector Machine for Internal Leakage Detection in Two-Stage Hydraulic Cylinder

Supply and Demand Balance Control Strategy for Microgrids Considering Uncertainty and Disturbance Based on Online H ∞ Policy Iteration

Impact of Task Constraint on Agent Team Size of Self-Organizing Systems Measured by Effective Entropy

Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset

An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults

Diffusion Generative Model-Based Learning for Smart Layer-Wise Monitoring of Additive Manufacturing

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