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RESEARCH PAPER · Open Ceramics · 2024

Machine learning assisted material development for lithography-based additive manufacturing of porous alumina ceramics

Serkan Nohut, Martin Schwentenwein

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

Open in your workspace →Saved 2026-10-14 · complete coverage
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Machine learning assisted material development for lithography-based additive manufacturing of porous alumina ceramicsOriginalResearch progress in deep learning for ceramics surface defect detection22Advances in materials and technologies for digital light processing 3D printing115Analysis on Mechanical Behavior of Additively Manufactured PLA/Eggshell Composites Using Machine Learning Algorithms5AI for AM: machine learning approach to design the base binder formulation for vat-photopolymerisation 3D printing of zirconia ceramics16AI for AM in zirconia ceramic vat photopolymerization: A machine learning approach to stabilising slurry suspension and maximizing dimensional accuracy of the 3D print process1Defect engineering in ceramic photoelectrodes: a multiscale approach to control carriers dynamics in photoelectrochemical water splitting0Research progress of alumina ceramic slurry for DLP 3D printing: regulation and optimization of rheological properties1Digital ceramics: A review bridging process, structure, properties, and performance through computational design4ML approach for predicting the properties of ceramic products0Developing machine learning algorithm for investigating features affecting relative density and shrinkage of printed parts in binder jetting additive manufacturing of Microjet TP-80 ceramic composite powder0

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  1. Research progress in deep learning for ceramics surface defect detection

    Measurement · 2024-10-11

    M.Y. Zhou, Tianzhao Wu, Zhongyi Xia, Bin He, Ling Bing Kong, Haibin Su

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  2. Advances in materials and technologies for digital light processing 3D printing

    Nano Convergence · 2024-11-04

    Jisoo Nam, Miso Kim

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  3. Analysis on Mechanical Behavior of Additively Manufactured PLA/Eggshell Composites Using Machine Learning Algorithms

    Journal of Materials Engineering and Performance · 2024-12-21

    Nisha Soms, K. Ravikumar, N. Gunasekar

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  4. AI for AM: machine learning approach to design the base binder formulation for vat-photopolymerisation 3D printing of zirconia ceramics

    Virtual and Physical Prototyping · 2025-03-31

    Fatih Tarak, Leah Okoruwa, Basar Ozkan, Farzaneh Sameni, Gerald Schaefer, Ehsan Sabet

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  5. AI for AM in zirconia ceramic vat photopolymerization: A machine learning approach to stabilising slurry suspension and maximizing dimensional accuracy of the 3D print process

    Additive manufacturing · 2025-07-01

    Fatih Tarak, Leah Okoruwa, Basar Ozkan, Farzaneh Sameni, Gerald Schaefer, Ehsan Sabet

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  6. Defect engineering in ceramic photoelectrodes: a multiscale approach to control carriers dynamics in photoelectrochemical water splitting

    Journal of Physics Condensed Matter · 2025-09-30

    Tianlong Yang, Zong‐Yan Zhao

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  7. Research progress of alumina ceramic slurry for DLP 3D printing: regulation and optimization of rheological properties

    Rapid Prototyping Journal · 2026-02-17

    Jingshan Zhang, Chengyu Wang, Jie Yang

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  8. Digital ceramics: A review bridging process, structure, properties, and performance through computational design

    Journal of the European Ceramic Society · 2026-04-15

    Marco Pelanconi, Riccardo Balzarotti, Giovanni Bianchi, Paolo Angelo Colombo, Alberto Ortona

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  9. ML approach for predicting the properties of ceramic products

    Unknown journal · 2026-06-01

    Pietro Merlin, Pedro Domingues, Paula Maria Vilarinho, Петя Георгиева

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  10. Developing machine learning algorithm for investigating features affecting relative density and shrinkage of printed parts in binder jetting additive manufacturing of Microjet TP-80 ceramic composite powder

    The International Journal of Advanced Manufacturing Technology · 2026-06-19

    Suleiman M. Obeidat, Rakib Hasan, Rahagir Ridwan Anik, Syed Hasib Akhter Faruqui

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