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Machine learning in 2D materials science
Data science and machine learning (ML) methods are increasingly being used to transform the way research is being conducted in materials science to enable new discoveries and design new materials. ...
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| Kode Buku | : | 250074 |
| Kode Klasifikasi | : | 006.31 |
| Judul Buku | : | Machine learning in 2D materials science |
| Edisi | : | 1 |
| Penulis | : | Parvathi Chundi, Venkataramana Gadhamshetty, Bharat K. Jasthi, Carol Lushbough |
| Penerbit | : | CRC Press |
| Bahasa | : | Inggris |
| Tahun | : | 2024 |
| ISBN | : | 978-1-003-13298-1 |
| Tajuk Subjek | : | machine learning |
| Deskripsi | : | x, 237 hlm; 29 cm |
| Eksemplar | : | 1 |
| Stok | : | 1 |
| Petugas Input | : | Suagam. S.Kom |
Data science and machine learning (ML) methods are increasingly being used to transform the way research is being conducted in materials science to enable new discoveries and design new materials. For any materials science researcher or student, it may be daunting to figure out if ML techniques are useful for them or, if so, which ones are applicable in their individual contexts, and how to study the effectiveness of these methods systematically.
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