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RESEARCH PAPER · Additive manufacturing · 2023

Physics Constrained Multi-objective Bayesian Optimization to Accelerate 3D Printing of Thermoplastics

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Physics Constrained Multi-objective Bayesian Optimization to Accelerate 3D Printing of ThermoplasticsOriginalMachine-Guided Discovery of Acrylate Photopolymer Compositions23Poly(ethylene terephthalate) glycol/carbon black composites for 4D printing105Active oversight and quality control in standard Bayesian optimization for autonomous experiments25Applicable and generalizable machine learning for intelligent welding in automotive manufacturing34Constraint Active Search in Process Window Optimization for Powder Feed Directed Energy Deposition1Structured sampling strategies in Bayesian optimization: evaluation in mathematical and real-world scenarios12Advanced process parameter optimization for dimensional accuracy in SS 316L 3D printing using response surface methodology8AI-aided bi-objective optimization of honeycomb metastructures for enhanced microwave absorption and mechanical resistance5The Alchemist, the Scientist, and the Robot: Exploring the Potential of Human‐AI Symbiosis in Self‐Driving Polymer Laboratories8Multi-objective Bayesian Optimization for Experimental Design in Copolymerization and Revealing Chemical Mechanism of Pareto Fronts10Ultra- and high-performance polymers for material extrusion additive manufacturing: Recent advancements, challenges, and optimization perspectives31Bayesian Optimization in Polymer Modeling: From Coarse‐Graining Foundations to Autonomous Inverse Design5Recyclable and Biodegradable Thermosets for 3D Printing via an Acid‐Labile Multifunctional Photoinitiator0A data-driven integrated framework for collaborative prediction and optimisation of hot-rolled steel strip shape0Accelerate Flash Removal of PFAS from Soil by Human-Guided Bayesian Optimization and Interpretable Machine Learning1Tri-domain prediction and optimization of nanocomposite polymers for high-performance 3D printing1Artificial intelligence in additive Manufacturing: advances in smart materials, lattice optimization, and process intelligence17Design of a Multistage Induction Coilgun Based on Surrogate Model and Bayesian Optimization0

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18 direct citing papers saved.

  1. Machine-Guided Discovery of Acrylate Photopolymer Compositions

    ACS Applied Materials & Interfaces · 2024-03-27

    Ayush Jain, Connor D. Armstrong, V. Roshan Joseph, Rampi Ramprasad, Hang Jerry Qi

    Read original paper ↗ ·
  2. Poly(ethylene terephthalate) glycol/carbon black composites for 4D printing

    Materials Chemistry and Physics · 2024-07-17

    Davood Rahmatabadi, Abbas Bayati, Mahdi Khajepour, Kiandokht Mirasadi, Ismaeil Ghasemi, Majid Baniassadi, Karen Abrinia, Mahdi Bodaghi, Mostafa Baghani

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  3. Active oversight and quality control in standard Bayesian optimization for autonomous experiments

    npj Computational Materials · 2025-01-27

    Sumner B. Harris, Rama Krishnan Vasudevan, Yongtao Liu

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  4. Applicable and generalizable machine learning for intelligent welding in automotive manufacturing

    Welding in the World · 2025-02-07

    Peng Edward Wang, Hassan Ghassemi-Armaki, Masoud Pour, Xijia Zhao, Junjie Ma, Kianoosh Sattari, Blair E. Carlson

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  5. Constraint Active Search in Process Window Optimization for Powder Feed Directed Energy Deposition

    Integrating materials and manufacturing innovation · 2025-03-01

    Xiaoxiao Wang, Jose A. Loli, Zachary W. Ulissi, Maarten P. Boer, Bryan Arthur Webler, Rachel C. Kurchin

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  6. Structured sampling strategies in Bayesian optimization: evaluation in mathematical and real-world scenarios

    Journal of Intelligent Manufacturing · 2025-03-28

    Lucas Greif, Niklas Hübschle, Andreas Kimmig, Simon Kreuzwieser, Anatole Martenne, Jivka Ovtcharova

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  7. Advanced process parameter optimization for dimensional accuracy in SS 316L 3D printing using response surface methodology

    Materials Research Express · 2025-05-01

    Venkata Phani Babu Vemuri, Veeresh Kumar G. B., Ravikiran Chinthalapudi, Bridjesh Pappula

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  8. AI-aided bi-objective optimization of honeycomb metastructures for enhanced microwave absorption and mechanical resistance

    Science China Technological Sciences · 2025-07-16

    Yiyuan Chen, Jiaxuan Ma, Cailian Zhu, Menghuan Wang, Lujiang Jin, Peng Ding, Renchao Che, Tong‐Yi Zhang, Sheng Sun

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  9. The Alchemist, the Scientist, and the Robot: Exploring the Potential of Human‐AI Symbiosis in Self‐Driving Polymer Laboratories

    Macromolecular Rapid Communications · 2025-07-16

    Bahar Dadfar, Berna Alemdag, Gözde Kabay

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  10. Multi-objective Bayesian Optimization for Experimental Design in Copolymerization and Revealing Chemical Mechanism of Pareto Fronts

    ACS Applied Engineering Materials · 2025-07-25

    Hirofumi Yamada, Shogo Takasuka, Shunto Oikawa, Yosuke Harashima, Tomoaki Takayama, Aniruddha Nag, Araki Wakiuchi, Tsuyoshi Ando, Tetsunori Sugawara, Miho Hatanaka, Tomoyuki Miyao, Takamitsu Matsubara, Yu‐ya Ohnishi, Hiroharu Ajiro, Mikiya Fujii

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  11. Ultra- and high-performance polymers for material extrusion additive manufacturing: Recent advancements, challenges, and optimization perspectives

    Materials Science and Engineering R Reports · 2025-08-21

    Nectarios Vidakis, Markos Petousis, Maria Spyridaki, Nikolaos Mountakis, Evgenia Dimitriou, Nikolaos Michailidis

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  12. Bayesian Optimization in Polymer Modeling: From Coarse‐Graining Foundations to Autonomous Inverse Design

    Macromolecular Theory and Simulations · 2025-10-27

    Zakiya Shireen

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  13. Recyclable and Biodegradable Thermosets for 3D Printing via an Acid‐Labile Multifunctional Photoinitiator

    Small · 2026-01-14

    Dajun Xiong, Lidan Zhang, Jianjie Fu, Wenbin Yi, Jieping Wang

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  14. A data-driven integrated framework for collaborative prediction and optimisation of hot-rolled steel strip shape

    International Journal of Production Research · 2026-02-01

    Jie Dong, Xu-yan Yang, Qing-quan Xu, Silvio Simani, Peng Kai-xiang

    Read original paper ↗ ·
  15. Accelerate Flash Removal of PFAS from Soil by Human-Guided Bayesian Optimization and Interpretable Machine Learning

    ACS Nano · 2026-03-23

    Jingbo Qin, Yi Cheng, Malinda Jayathilake, Yufeng Zhao, James M. Tour, Jian Lin

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  16. Tri-domain prediction and optimization of nanocomposite polymers for high-performance 3D printing

    Scientific Reports · 2026-03-31

    Lakshmaiya Natrayan, P. Hari Chandra Prasad, Prabhu Paramasivam, Ramya Maranan, Anand Rajendran, Gemeda Bekele Bacha

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  17. Artificial intelligence in additive Manufacturing: advances in smart materials, lattice optimization, and process intelligence

    The International Journal of Advanced Manufacturing Technology · 2026-04-18

    Saqlain Zaman, Md Shahjahan Mahmud, Ali Akber Mollick, Tenzin Lhaden, Joshua Z. R. Dantzler, Sabina Arroyo, Nithin Kumar Goona, Maisha Mesbah, Md Ariful Ahsan, Yirong Lin

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  18. Design of a Multistage Induction Coilgun Based on Surrogate Model and Bayesian Optimization

    IEEE Transactions on Plasma Science · 2026-06-22

    Zixuan Yin, Jun Wu, Zhen Huang, huangjie Liu, Yu Yao

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