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Journal Articles

Evaluating Large Language Models for Material Selection

Accepted Manuscript
Daniele Grandi, Yash Patawari Jain, Allin Groom, Brandon Cramer, Christopher McComb
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
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
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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

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

Accepted Manuscript
Atharv Deshmankar, Jagat Sesh Challa, Amit Singh, Srinivasa Prakash Regalla
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-24-1227
https://doi.org/10.1115/1.4066575
Published Online: September 18, 2024
.... Email: amit.singh@pilani.bits-pilani.ac.in Email: jagatsesh@pilani.bits-pilani.ac.in Email: p20200053@pilani.bits-pilani.ac.in Email: regalla@hyderabad.bits-pilani.ac.in 25 04 2024 01 09 2024 12 09 2024 18 09 2024 Artificial Intelligence Computational...
View Article titled, A Review of the Applications of Machine Learning for Prediction and Analysis of Mechanical Properties and Microstructures in Additive Manufacturing
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Topics: Additive manufacturing, Machine learning, Mechanical properties
Journal Articles

Data Privacy Preserving for Centralized Robotic Fault Diagnosis With Modified Dataset Distillation

Tao Wang, Yu Huang, Ying Liu, Chong Chen
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. October 2024, 24(10): 101005.
Paper No: JCISE-23-1601
https://doi.org/10.1115/1.4066096
Published Online: August 21, 2024
...: chenc2021@gdut.edu.cn 20 12 2023 16 07 2024 27 07 2024 21 08 2024 Graphical Abstract Figure data privacy dataset distillation fault diagnosis industrial robot artificial intelligence big data analytics National Natural Science Foundation of China...
View Article titled, Data Privacy Preserving for Centralized Robotic Fault Diagnosis With Modified Dataset Distillation
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Topics: Algorithms, Convolutional neural networks, Data privacy, Fault diagnosis, Robotics, Robots, Warehouses
Journal Articles

Unsupervised Anomaly Detection via Nonlinear Manifold Learning

Amin Yousefpour, Mehdi Shishehbor, Zahra Zanjani Foumani, Ramin Bostanabad
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
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
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Topics: Manifolds, Errors
Journal Articles

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

Siqi Zhang, Hui Yang, Zhuo Yang, Yan Lu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
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
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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
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
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
... , G. , Stern , R. , Beja , T. , Sturtevant , N. , Schaeffer , J. , and Holte , R. C. , 2012 , “ Partial-Expansion A* With Selective Node Generation ,” Twenty-Sixth AAAI Conference on Artificial Intelligence , Toronto, Ontario, Canada , July 22–26 , AAAI Press, pp. 471 – 477...
View Article titled, Multi-Unmanned Aerial Vehicle-Assisted Flood Navigation of Waterborne Vehicles Using Deep Reinforcement Learning
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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

Accepted Manuscript
Kiarash Naghavi Khanghah, Zihan Wang, Hongyi Xu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
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
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Topics: Large language models, Metamaterials, Design, Artificial intelligence, Computer-aided design, Databases, Engineering systems and industry applications, Machine learning, Shape optimization, Topology
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
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
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
... elusive, hard to quantify, and/or cannot be modeled using first principles due to computational cost or complexity. ML models have had a tremendous impact in fields such as computer vision, medical diagnostics, climate prediction, and other data-rich applications. artificial intelligence...
View Article titled, A Physics-Informed General Convolutional Network for the Computational Modeling of Materials With Damage
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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
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
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
... , Barcelona, Spain , Dec. 5–8 , pp. 2234 – 2242 . [50] Li , C. , Bai , K. , Li , J. , Wang , G. , Chen , C. , and Carin , L. , 2019 , “ Adversarial Learning of a Sampler Based on an Unnormalized Distribution ,” The 22nd International Conference on Artificial Intelligence...
View Article titled, Multi-Fidelity Physics-Informed Generative Adversarial Network for Solving Partial Differential Equations
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Topics: Generative adversarial networks, Generators, Hafnium, Physics, Artificial neural networks, Partial differential equations, Errors
Journal Articles

Machine-Learning Metacomputing for Materials Science Data

J. C. Steuben, A. B. Geltmacher, S. N. Rodriguez, A. J. Birnbaum, B. D. Graber, A. K. Rawlings, A. P. Iliopoulos, J. G. Michopoulos
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111005.
Paper No: JCISE-23-1439
https://doi.org/10.1115/1.4064975
Published Online: July 22, 2024
... protection in the United States. Approved for public release; distribution is unlimited. 30 08 2023 05 02 2024 06 02 2024 22 07 2024 Graphical Abstract Figure artificial intelligence data-driven engineering machine-learning for engineering applications...
View Article titled, Machine-Learning Metacomputing for Materials Science Data
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Topics: Electron backscatter diffraction, Machine learning, Materials science, Noise (Sound), Modeling, Errors, Maintenance, Simulation
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
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
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
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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
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Technical Briefs
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
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Topics: Cylinders, Hydraulic cylinders, Leakage, Pressure, Support vector machines, Signals
Journal Articles

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

Hao Ji, Yan Jin
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
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
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Topics: Entropy, Self-organization, Teams, Reinforcement learning
Journal Articles

An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults

Michael Ibrahim, Heraldo Rozas, Nagi Gebraeel
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
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
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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
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
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
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Topics: Additive manufacturing, Diffusion (Physics), Ablation (Vaporization technology), Generative adversarial networks, Errors, Deep learning
Journal Articles

A Hybrid Computer Vision and Machine Learning Approach for Robust Vortex Core Detection in Fluid Mechanics Applications

Hazem Ashor Amran Abolholl, Tom-Robin Teschner, Irene Moulitsas
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2024, 24(6): 061002.
Paper No: JCISE-23-1406
https://doi.org/10.1115/1.4064478
Published Online: March 5, 2024
... artificial intelligence computer aided engineering machine learning for engineering applications physics-based simulations It is widely considered that vortex dynamics play an essential role in determining the behavior of fluid flows in practical applications, for instance, identifying...
View Article titled, A Hybrid Computer Vision and Machine Learning Approach for Robust Vortex Core Detection in Fluid Mechanics Applications
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Topics: Algorithms, Computers, Machine learning, Vortices, Flow (Dynamics), Artificial neural networks
Journal Articles

Efficient Mapping Between Void Shapes and Stress Fields Using Deep Convolutional Neural Networks With Sparse Data

Anindya Bhaduri, Nesar Ramachandra, Sandipp Krishnan Ravi, Lele Luan, Piyush Pandita, Prasanna Balaprakash, Mihai Anitescu, Changjie Sun, Liping Wang
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. May 2024, 24(5): 051008.
Paper No: JCISE-23-1360
https://doi.org/10.1115/1.4064622
Published Online: March 5, 2024
.... B. , and Hoffman , A. , 2023 , “ Understanding Oxidation of Fe-Cr-Al Alloys Through Explainable Artificial Intelligence ,” MRS Commun. , 13 , pp. 82 – 88 . 10.1557/s43579-022-00315-0 [29] Williams , C. K. , and Rasmussen , C. E. , 2006 , “ Gaussian Processes for Machine...
View Article titled, Efficient Mapping Between Void Shapes and Stress Fields Using Deep Convolutional Neural Networks With Sparse Data
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Topics: Computer-aided engineering, Convolutional neural networks, Shapes, Stress
Journal Articles

Probing an Easy-to-Deploy Multi-Agent Manufacturing System Based on Agent Computing Node: Architecture, Implementation, and Case Study

Liping Wang, Qingwei Nie, Zequn Zhang, Dunbing Tang, Changchun Liu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2024, 24(4): 041008.
Paper No: JCISE-23-1325
https://doi.org/10.1115/1.4064409
Published Online: January 29, 2024
... 2023 29 01 2024 artificial intelligence engineering informatics industrial internet of things manufacturing automation model-based systems engineering As the manufacturing industry progresses toward market socialization and individualization, customer requirements have become...
View Article titled, Probing an Easy-to-Deploy Multi-Agent Manufacturing System Based on Agent Computing Node: Architecture, Implementation, and Case Study
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Topics: Energy consumption, Machinery, Manufacturing systems, Modeling, Negotiation, Workshops (Work spaces), Decision making, Manufacturing, Construction
Journal Articles

Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks and Operators in Scientific Computing: Fluid and Solid Mechanics

Salah A. Faroughi, Nikhil M. Pawar, Célio Fernandes, Maziar Raissi, Subasish Das, Nima K. Kalantari, Seyed Kourosh Mahjour
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. April 2024, 24(4): 040802.
Paper No: JCISE-23-1207
https://doi.org/10.1115/1.4064449
Published Online: January 29, 2024
... neural networks solid mechanics fluid mechanics machine learning deep learning scientific computing artificial intelligence data-driven engineering machine learning for engineering applications multiphysics modeling and simulation physics-based simulations American Chemical Society...
View Article titled, Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks and Operators in Scientific Computing: Fluid and Solid Mechanics
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Topics: Artificial neural networks, Modeling, Physics, Scientific computing, Solid mechanics, Fluids, Fluid mechanics, Convolutional neural networks
Journal Articles

Multiscale Feature Fusion Convolutional Neural Network for Surface Damage Detection in Retired Steel Shafts

Weiwei Liu, Jiahe Qiu, Yujiang Wang, Tao Li, Shujie Liu, Guangda Hu, Lin Xue
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2024, 24(4): 041005.
Paper No: JCISE-23-1090
https://doi.org/10.1115/1.4064257
Published Online: January 8, 2024
... 2019YFC908101 National Natural Science Foundation of China 10.13039/501100001809 52175455 retired steel shaft damage detection deep learning artificial intelligence machine learning for engineering applications manufacturing automation 21 02 2023 07 10 2023 12 10 2023...
View Article titled, Multiscale Feature Fusion Convolutional Neural Network for Surface Damage Detection in Retired Steel Shafts
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Topics: Damage, Steel, Feature extraction