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Investigation of the Influence of Alloy Atomic Doping on the Properties of Cu-Sn Alloys Based on First Principles.
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- Metals (2075-4701), 2024, v. 14, n. 5, p. 552, doi. 10.3390/met14050552
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Explanatory Machine Learning Accelerates the Design of Graphene-Reinforced Aluminium Matrix Composites with Superior Performance.
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- Metals (2075-4701), 2023, v. 13, n. 10, p. 1690, doi. 10.3390/met13101690
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First-Principles Computation of Microscopic Mechanical Properties and Atomic Migration Behavior for Al 4 Si Aluminum Alloy.
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- Metals (2075-4701), 2023, v. 13, n. 9, p. 1622, doi. 10.3390/met13091622
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A Study of the Adsorption Properties of Individual Atoms on the Graphene Surface: Density Functional Theory Calculations Assisted by Machine Learning Techniques.
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- Materials (1996-1944), 2024, v. 17, n. 6, p. 1428, doi. 10.3390/ma17061428
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Exploration of Solid Solutions and the Strengthening of Aluminum Substrates by Alloying Atoms: Machine Learning Accelerated Density Functional Theory Calculations.
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- Materials (1996-1944), 2023, v. 16, n. 20, p. 6757, doi. 10.3390/ma16206757
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