Tailoring Anatase Properties by Doping: From DFT to Machine Learning – A Review
Само за регистроване кориснике
2023
Поглавље у монографији (Објављена верзија)
Метаподаци
Приказ свих података о документуИзвор:
Advances in Materials Science Research. Volume 61, 2023, 85-108Издавач:
- New York : Nova Science Publishers
Колекције
Институција/група
VinčaTY - CHAP AU - Batalović, Katarina PY - 2023 UR - https://vinar.vin.bg.ac.rs/handle/123456789/12474 PB - New York : Nova Science Publishers T2 - Advances in Materials Science Research. Volume 61 T1 - Tailoring Anatase Properties by Doping: From DFT to Machine Learning – A Review SP - 85 EP - 108 UR - https://hdl.handle.net/21.15107/rcub_vinar_12474 ER -
@inbook{ author = "Batalović, Katarina", year = "2023", publisher = "New York : Nova Science Publishers", journal = "Advances in Materials Science Research. Volume 61", booktitle = "Tailoring Anatase Properties by Doping: From DFT to Machine Learning – A Review", pages = "85-108", url = "https://hdl.handle.net/21.15107/rcub_vinar_12474" }
Batalović, K.. (2023). Tailoring Anatase Properties by Doping: From DFT to Machine Learning – A Review. in Advances in Materials Science Research. Volume 61 New York : Nova Science Publishers., 85-108. https://hdl.handle.net/21.15107/rcub_vinar_12474
Batalović K. Tailoring Anatase Properties by Doping: From DFT to Machine Learning – A Review. in Advances in Materials Science Research. Volume 61. 2023;:85-108. https://hdl.handle.net/21.15107/rcub_vinar_12474 .
Batalović, Katarina, "Tailoring Anatase Properties by Doping: From DFT to Machine Learning – A Review" in Advances in Materials Science Research. Volume 61 (2023):85-108, https://hdl.handle.net/21.15107/rcub_vinar_12474 .