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RESEARCH PAPER · IISE Transactions · 2022

Autonomous materials discovery and manufacturing (AMDM): A review and perspectives

Satish Bukkapatnam

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18 direct citing papers in this saved network. Explore the next layer with second-order citations.

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42 direct citing works

Autonomous materials discovery and manufacturing (AMDM): A review and perspectivesOriginalRipple formations determine the heterogeneous microstructure of directed energy deposition (DED)-printed 316L components23Unleashing the Power of Artificial Intelligence in Materials Design179Data-augmented modeling for yield strength of refractory high entropy alloys: A Bayesian approach61AI for Technoscientific Discovery: A Human-Inspired Architecture7Exploring chemistry and additive manufacturing design spaces: a perspective on computationally-guided design of printable alloys26Towards spatial property control of the glass transition temperature and microstructure of 3d printed shape memory polymers via set-point tuning of the extrusion temperature and extraction of the underlying physical model with gaussian process regression8An augmented surprise-guided sequential learning framework for predicting the melt pool geometry20Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization8Autonomous material systems9Toward digitally twinning the process of creating machine controller digital twins – A G-code generation scenario0Toward Futuristic Autonomous Experimentation—A Surprise-Reacting Sequential Experiment Policy2Machine learning for structure-guided materials and process design28Scientific Risk in Autonomous Materials Discovery: A Conceptual Framework for Anticipating Unsafe Recommendations1Unveiling diabetes onset: Optimized XGBoost with Bayesian optimization for enhanced prediction40Bayesian Optimization with Active Constraint Learning for Advanced Manufacturing Process Design16A Model Predictive Control Approach of Optimal Autonomous Laboratory Management4Interface engineering and safety in solid-state batteries: Advancing from human-centered insights to AI-driven innovations22PhaseXplorer Creates High-Dimensional Phase Diagrams with Closed-Loop Active Learning5

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  1. Ripple formations determine the heterogeneous microstructure of directed energy deposition (DED)-printed 316L components

    Materials & Design · 2023-02-19

    Himanshu Balhara, Bhaskar Botcha, Sarah Jeannette Wolff, Satish Bukkapatnam

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  2. Unleashing the Power of Artificial Intelligence in Materials Design

    Materials · 2023-08-30

    Silvia Badini, Stefano Regondi, Raffaele Pugliese

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  3. Data-augmented modeling for yield strength of refractory high entropy alloys: A Bayesian approach

    Acta Materialia · 2023-09-19

    Brent Vela, Danial Khatamsaz, Cafer Acemi, İbrahim Karaman, Raymundo Arróyave

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  4. AI for Technoscientific Discovery: A Human-Inspired Architecture

    Journal of Creativity · 2024-02-08

    Jeff Y. Tsao, R.G. Abbott, Douglas Cale Crowder, Saaketh Desai, Rémi Dingreville, James Elliott Fowler, A. Garland, Prasad P. Iyer, J. Murdock, Scott Steinmetz, K.A. Yarritu, C. Mark Johnson, David John Stracuzzi

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  5. Exploring chemistry and additive manufacturing design spaces: a perspective on computationally-guided design of printable alloys

    Materials Research Letters · 2024-02-21

    Sofia Sheikh, Brent Vela, Vahid Attari, Xueqin Huang, Peter Morcos, James Hanagan, Cafer Acemi, İbrahim Karaman, Alaa H. Elwany, Raymundo Arróyave

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  6. Towards spatial property control of the glass transition temperature and microstructure of 3d printed shape memory polymers via set-point tuning of the extrusion temperature and extraction of the underlying physical model with gaussian process regression

    Journal of Manufacturing Processes · 2024-04-20

    Andreas K. Lianos, Tianyang Zhou, Suzanne R. Peterson, Pavan V. Kolluru, Dimitris C. Lagoudas, Satish Bukkapatnam

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  7. An augmented surprise-guided sequential learning framework for predicting the melt pool geometry

    Journal of Manufacturing Systems · 2024-06-08

    Ahmed Shoyeb Raihan, Hamed Khosravi, Tanveer Hossain Bhuiyan, Imtiaz Ahmed

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  8. Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization

    Manufacturing Letters · 2024-10-01

    Ahmed Shoyeb Raihan, Hamed Khosravi, Srinjoy Das, Imtiaz Ahmed

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  9. Autonomous material systems

    MRS Bulletin · 2024-10-01

    Cameron A. Aubin, Philip R. Buskohl, Richard A. Vaia, Robert F. Shepherd

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  10. Toward digitally twinning the process of creating machine controller digital twins – A G-code generation scenario

    Manufacturing Letters · 2024-10-01

    Abhishek Hanchate, Akash Tiwari, Satish Bukkapatnam

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  11. Toward Futuristic Autonomous Experimentation—A Surprise-Reacting Sequential Experiment Policy

    IEEE Transactions on Automation Science and Engineering · 2024-10-11

    Imtiaz Ahmed, Satish Bukkapatnam, Bhaskar Botcha, Yu Cheng Ding

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  12. Machine learning for structure-guided materials and process design

    Materials & Design · 2024-11-19

    Lukas Morand, Tarek Iraki, Johannes Dornheim, Stefan Sandfeld, Norbert Link, Dirk Helm

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  13. Scientific Risk in Autonomous Materials Discovery: A Conceptual Framework for Anticipating Unsafe Recommendations

    Journal of Artificial Intelligence for Materials Science · 2025-01-01

    Hiroshi Nakamura, Yuta Kato

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  14. Unveiling diabetes onset: Optimized XGBoost with Bayesian optimization for enhanced prediction

    PLoS ONE · 2025-01-24

    Muhammad Rizwan Khurshid, Sadaf Manzoor, Touseef Sadiq, Lal Hussain, Mohammed Shahbaz Khan, Ashit Kumar Dutta

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  15. Bayesian Optimization with Active Constraint Learning for Advanced Manufacturing Process Design

    IISE Transactions · 2025-03-07

    Guoyan Li, Yujia Wang, Swastik Kar, Xiaoning Jin

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  16. A Model Predictive Control Approach of Optimal Autonomous Laboratory Management

    IEEE Transactions on Industrial Informatics · 2025-03-27

    Zhihong Zhao, Xiaotian Lin, Juan Jose Rodriguez-Andina, Zhengkai Li

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  17. Interface engineering and safety in solid-state batteries: Advancing from human-centered insights to AI-driven innovations

    Advances in Colloid and Interface Science · 2025-10-10

    Elnaz Karimi, Stefan Iglauer, Muhammad Rizwan Azhar

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  18. PhaseXplorer Creates High-Dimensional Phase Diagrams with Closed-Loop Active Learning

    ACS Nano · 2025-11-03

    Stef A. H. Jansen, Lasse Sander Dreyer, Jule van Basten, Yihan Yao, Daniel E. Otzen, Tom F. A. de Greef, Tuomas P. J. Knowles, Egbert W. Meijer, Nadia A. Erkamp

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