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Ta-Te Chen

Showing results (1-10 of 9) with videos related to

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Advanced Materials (Deerfield Beach, Fla.)|June 18, 2023
Deep Learning in Mechanical Metamaterials: From Prediction and Generation to Inverse DesignXiaoyang Zheng, Xubo Zhang, Ta-Te Chen, et al.
Materials (Basel, Switzerland)|December 23, 2023
Two- and Three-Dimensional Modeling and Simulations of Grain Growth Behavior in Dual-Phase Steel Using Monte Carlo and Machine LearningFei Sun, Ayano Kita, Toshio Ogawa, et al.
Materials (Basel, Switzerland)|January 11, 2024
Simulation of Abnormal Grain Growth Using the Cellular Automaton MethodKenji Murata, Chihiro Fukui, Fei Sun, et al.
Science and Technology of Advanced Materials|January 9, 2023
Deep-learning-based inverse design of three-dimensional architected cellular materials with the target porosity and stiffness using voxelized Voronoi latticesXiaoyang Zheng, Ta-Te Chen, Xiaoyu Jiang, et al.
Science and Technology of Advanced Materials|August 19, 2024
Comparative study of the experimentally observed and GAN-generated 3D microstructures in dual-phase steelsIkumu Watanabe, Keiya Sugiura, Ta-Te Chen, et al.
Materials (Basel, Switzerland)|November 14, 2023
Evaluation of Austenite-Ferrite Phase Transformation in Carbon Steel Using Bayesian Optimized Cellular Automaton SimulationFei Sun, Yoshihisa Mino, Toshio Ogawa, et al.
Science and Technology of Advanced Materials|February 7, 2022
Topological alternation from structurally adaptable to mechanically stable crosslinked polymerWei-Hsun Hu, Ta-Te Chen, Ryo Tamura, et al.
Materials (Basel, Switzerland)|July 27, 2024
Machine Learning-Aided Analysis of the Rolling and Recrystallization Textures of Pure Iron with Different Cold Reduction Ratios and Cold-Rolling DirectionsTakumi Sumida, Keiya Sugiura, Toshio Ogawa, et al.
Small (Weinheim an Der Bergstrasse, Germany)|February 21, 2022
Light-Induced Topological Patterning toward 3D Shape-Reconfigurable OrigamiWei-Hsun Hu, Ming Ji, Ta-Te Chen, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Advanced Materials (Deerfield Beach, Fla.)|June 18, 2023
Deep Learning in Mechanical Metamaterials: From Prediction and Generation to Inverse DesignXiaoyang Zheng, Xubo Zhang, Ta-Te Chen, et al.
Materials (Basel, Switzerland)|December 23, 2023
Two- and Three-Dimensional Modeling and Simulations of Grain Growth Behavior in Dual-Phase Steel Using Monte Carlo and Machine LearningFei Sun, Ayano Kita, Toshio Ogawa, et al.
Materials (Basel, Switzerland)|January 11, 2024
Simulation of Abnormal Grain Growth Using the Cellular Automaton MethodKenji Murata, Chihiro Fukui, Fei Sun, et al.
Science and Technology of Advanced Materials|January 9, 2023
Deep-learning-based inverse design of three-dimensional architected cellular materials with the target porosity and stiffness using voxelized Voronoi latticesXiaoyang Zheng, Ta-Te Chen, Xiaoyu Jiang, et al.
Science and Technology of Advanced Materials|August 19, 2024
Comparative study of the experimentally observed and GAN-generated 3D microstructures in dual-phase steelsIkumu Watanabe, Keiya Sugiura, Ta-Te Chen, et al.
Materials (Basel, Switzerland)|November 14, 2023
Evaluation of Austenite-Ferrite Phase Transformation in Carbon Steel Using Bayesian Optimized Cellular Automaton SimulationFei Sun, Yoshihisa Mino, Toshio Ogawa, et al.
Science and Technology of Advanced Materials|February 7, 2022
Topological alternation from structurally adaptable to mechanically stable crosslinked polymerWei-Hsun Hu, Ta-Te Chen, Ryo Tamura, et al.
Materials (Basel, Switzerland)|July 27, 2024
Machine Learning-Aided Analysis of the Rolling and Recrystallization Textures of Pure Iron with Different Cold Reduction Ratios and Cold-Rolling DirectionsTakumi Sumida, Keiya Sugiura, Toshio Ogawa, et al.
Small (Weinheim an Der Bergstrasse, Germany)|February 21, 2022
Light-Induced Topological Patterning toward 3D Shape-Reconfigurable OrigamiWei-Hsun Hu, Ming Ji, Ta-Te Chen, et al.
Pageof 1