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Ngo T Que

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RSC Advances|June 1, 2026
Experimental-data-driven thermal conductivity prediction and inverse composition design for alloysAnh D Phan, Vu Bich Hanh, Ngo T Que, et al.
RSC Advances|March 2, 2026
Composition-based machine learning for predicting and designing Mn<sup>4+</sup>-doped phosphorsNgo T Que, Vu D Huan, Le T Duy, et al.
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Showing results (1-10 of 2) with videos related to

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Pageof 1
RSC Advances|June 1, 2026
Experimental-data-driven thermal conductivity prediction and inverse composition design for alloysAnh D Phan, Vu Bich Hanh, Ngo T Que, et al.
RSC Advances|March 2, 2026
Composition-based machine learning for predicting and designing Mn<sup>4+</sup>-doped phosphorsNgo T Que, Vu D Huan, Le T Duy, et al.
Pageof 1