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RESEARCH PAPER · MRS Bulletin · 2023

Machine learning and experiments: A synergy for the development of functional materials

Bowen Zheng, Zeqing Jin, Grace Hu, Jimin Gu, Shao-Yi Yu, Jeong-Ho Lee, Grace X. Gu

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

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42 direct citing works

Machine learning and experiments: A synergy for the development of functional materialsOriginalRole of AI in experimental materials science42Deep learning aided inverse design of the buckling-guided assembly for 3D frame structures57Bioinspired materials for underwater adhesion with pathways to switchability23Deep learning based automated fracture identification in material characterization experiments43Artificial Neural Network Prediction of Compliance Coefficients for Composite Shear Keys of Built-Up Timber Beams1Investigating Static and Dynamic Behaviors in 3D Chiral Mechanical Metamaterials by Disentangled Generative Models31Machine learning-assisted precision inverse design research of ternary cathode materials: A new paradigm for material design14Measurement of Secondary Dendrite Arm Spacing Using Deep Learning0Measurement of Secondary Dendrite Arm Spacing Using Deep Learning0Tuning collagen and collagen-alginate mechanics through extrusion bioprinting process parameters6Experimental and Numerical Characterization of Electrospun Piezoelectric Polyvinylidene Fluoride Nanocomposites Reinforced with Silver Nanoparticles9Adaptive Control and Simulation of a Transformer-Aided Full-Bridge Rectifier for Enhanced Piezoelectric Energy Harvesting in Smart Power Systems0Design of Tough 3D Printable Elastomers with Human‐in‐the‐Loop Reinforcement Learning1Design of Tough 3D Printable Elastomers with Human‐in‐the‐Loop Reinforcement Learning8Harnessing machine learning for energy optimization and intelligent process control in wastewater treatment1Computational Design Strategies and Software for Lattice Structures and Functionally Graded Materials7A review of recent machine learning advances for predicting and optimizing mechanical and tribological properties of fiber-reinforced thermoset polymer nanocomposites3AI-Driven Materials Genome: Accelerated Discovery of Multi-Functional Sensing Materials0Forecesting ESG scores in European countries using machine learning algorithms0

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19 direct citing papers saved.

  1. Role of AI in experimental materials science

    MRS Bulletin · 2023-02-01

    Milad Abolhasani, Keith A. Brown, Guest Editors

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  2. Deep learning aided inverse design of the buckling-guided assembly for 3D frame structures

    Journal of the Mechanics and Physics of Solids · 2023-07-27

    Tianqi Jin, Xu Cheng, Shiwei Xu, Yuchen Lai, Yihui Zhang

    Read original paper ↗ ·

  3. Bioinspired materials for underwater adhesion with pathways to switchability

    Cell Reports Physical Science · 2023-09-26

    Chanhong Lee, Shi Hui-qi, Jiyoung Jung, Bowen Zheng, Kan Wang, Ravi Tutika, Rong Long, Bruce P. Lee, Grace X. Gu, Michael D. Bartlett

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  4. Deep learning based automated fracture identification in material characterization experiments

    Advanced Engineering Informatics · 2024-02-15

    Nikolaos Karathanasopoulos, Panagiotis E. Hadjidoukas

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  5. Artificial Neural Network Prediction of Compliance Coefficients for Composite Shear Keys of Built-Up Timber Beams

    Materials · 2024-07-02

    Irene A. Ladnykh, Nabi Ibadov, Hubert Anysz

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  6. Investigating Static and Dynamic Behaviors in 3D Chiral Mechanical Metamaterials by Disentangled Generative Models

    Advanced Functional Materials · 2024-09-18

    Jeonghoon Park, Jaebum Noh, Jehyeon Shin, Grace X. Gu, Junsuk Rho

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  7. Machine learning-assisted precision inverse design research of ternary cathode materials: A new paradigm for material design

    Journal of Colloid and Interface Science · 2024-11-19

    Yazhou Wang, Changquan Wu, Wenjing Ji, Yao Wu, Shangquan Zhao, Xuerui Yang, Yong Li, Naigen Zhou

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  8. Measurement of Secondary Dendrite Arm Spacing Using Deep Learning

    SSRN Electronic Journal · 2025-01-01

    Shinya Fujiwara, Machiko Ode, Yuta Kojima, Mayu Muramatsu

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  9. Measurement of Secondary Dendrite Arm Spacing Using Deep Learning

    SSRN Electronic Journal · 2025-01-01

    Shinya Fujiwara, Machiko Ode, Yuta Kojima, Mayu Muramatsu

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  10. Tuning collagen and collagen-alginate mechanics through extrusion bioprinting process parameters

    RSC Advances · 2025-01-01

    Grace Hu, Karla Gutierrez Cebrero, Nandita Venkataraman, Dharneedar Ravichandran, Yunzhi Lin, Zeqing Jin, Zev J. Gartner, Grace X. Gu

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  11. Experimental and Numerical Characterization of Electrospun Piezoelectric Polyvinylidene Fluoride Nanocomposites Reinforced with Silver Nanoparticles

    Materials · 2025-03-26

    Strahinja Milenković, Fatima Živić, Nenad Grujović, Katarina D. Virijević, Aleksandar S. Bodić, Denis Petrović

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  12. Adaptive Control and Simulation of a Transformer-Aided Full-Bridge Rectifier for Enhanced Piezoelectric Energy Harvesting in Smart Power Systems

    International Conference on Electrical, Computer and Energy Technologies (ICECET) · 2025-07-03

    A A Ghazi

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  13. Design of Tough 3D Printable Elastomers with Human‐in‐the‐Loop Reinforcement Learning

    Angewandte Chemie · 2025-07-14

    Johann L. Rapp, Dylan M. Anstine, Filipp Gusev, Filipp Nikitin, Kelly H. Yun, Meredith A. Borden, Vittal Bhat, Olexandr Isayev, Frank A. Leibfarth

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  14. Design of Tough 3D Printable Elastomers with Human‐in‐the‐Loop Reinforcement Learning

    Angewandte Chemie International Edition · 2025-07-14

    Johann L. Rapp, Dylan M. Anstine, Filipp Gusev, Filipp Nikitin, Kelly H. Yun, Meredith A. Borden, Vittal Bhat, Olexandr Isayev, Frank A. Leibfarth

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  15. Harnessing machine learning for energy optimization and intelligent process control in wastewater treatment

    Journal of Water Process Engineering · 2025-11-25

    Yibo Du, Tianlong Lei, Jie Jin, Boyu Chen, Xuanbei Wu, Nuan Yang, Yihong Ge, Yan Wang, Qifeng Tan, Dingrui Fan, Yunhui Lei, Ling Yao

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  16. Computational Design Strategies and Software for Lattice Structures and Functionally Graded Materials

    Journal of Composites Science · 2026-01-08

    Delia Alexandra Prisecaru, Oliver Ulerich, Andrei Calin, Georgiana Ionela Paduraru

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  17. A review of recent machine learning advances for predicting and optimizing mechanical and tribological properties of fiber-reinforced thermoset polymer nanocomposites

    Discover Applied Sciences · 2026-04-16

    H. D. Supreetha Gowda, Hemaraju Raju, V. G. Pradeep Kumar, P. B. Bharat, B. Suresha, Subraya Krishna Bhat

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  18. AI-Driven Materials Genome: Accelerated Discovery of Multi-Functional Sensing Materials

    Unknown journal · 2026-05-01

    Farzane Hasheminia, Sadegh Sadeghzadeh, Behrouz Minaei Bidgoli

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  19. Forecesting ESG scores in European countries using machine learning algorithms

    Neural Computing and Applications · 2026-05-01

    Ecenur Alioğulları, Enes Yıldız

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