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Machine Learning-Aided Analysis of the Rolling and Recrystallization Textures of Pure Iron with Different Cold Reduction Ratios and Cold-Rolling Directions.
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- Materials (1996-1944), 2024, v. 17, n. 14, p. 3402, doi. 10.3390/ma17143402
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- Article
Simulation of Abnormal Grain Growth Using the Cellular Automaton Method.
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- Materials (1996-1944), 2024, v. 17, n. 1, p. 138, doi. 10.3390/ma17010138
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Two- and Three-Dimensional Modeling and Simulations of Grain Growth Behavior in Dual-Phase Steel Using Monte Carlo and Machine Learning.
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- Materials (1996-1944), 2023, v. 16, n. 24, p. 7536, doi. 10.3390/ma16247536
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- Article
Deep Learning in Mechanical Metamaterials: From Prediction and Generation to Inverse Design.
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- Advanced Materials, 2023, v. 35, n. 45, p. 1, doi. 10.1002/adma.202302530
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Evaluation of Austenite–Ferrite Phase Transformation in Carbon Steel Using Bayesian Optimized Cellular Automaton Simulation.
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- Materials (1996-1944), 2023, v. 16, n. 21, p. 6922, doi. 10.3390/ma16216922
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- Article
Light‐Induced Topological Patterning toward 3D Shape‐Reconfigurable Origami.
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- Small, 2022, v. 18, n. 14, p. 1, doi. 10.1002/smll.202107078
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- Article
Light‐Induced Topological Patterning toward 3D Shape‐Reconfigurable Origami (Small 14/2022).
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- Small, 2022, v. 18, n. 14, p. 1, doi. 10.1002/smll.202270070
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- Article
Characterization of the Strain-Rate-Dependent Plasticity of Alloys Using Instrumented Indentation Tests.
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- Crystals (2073-4352), 2021, v. 11, n. 11, p. 1316, doi. 10.3390/cryst11111316
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- Article