Theoretical tools for the investigation of hydrogen storage materials – from DFT to machine learning
Апстракт
The prospect of hydrogen utilization in everyday energy demands led to significant efforts of the scientific community to improve materials for hydrogen production, storage, and utilization. Clean energy solutions rely on efficient and safe hydrogen storage, and storing hydrogen in various materials is possible. However, unsolved issues regarding the operational conditions of these materials, the kinetics of hydrogen release, and the volume and weight of the stored hydrogen per unit mass of material limit practical applications. [...]
Извор:
2022 Sustainable Energy Development International Conference Sub-Forum & China-Serbia Cooperation and Academic Exchange symposium, 2022Колекције
Институција/група
VinčaTY - CONF AU - Batalović, Katarina PY - 2022 UR - https://vinar.vin.bg.ac.rs/handle/123456789/11286 AB - The prospect of hydrogen utilization in everyday energy demands led to significant efforts of the scientific community to improve materials for hydrogen production, storage, and utilization. Clean energy solutions rely on efficient and safe hydrogen storage, and storing hydrogen in various materials is possible. However, unsolved issues regarding the operational conditions of these materials, the kinetics of hydrogen release, and the volume and weight of the stored hydrogen per unit mass of material limit practical applications. [...] C3 - 2022 Sustainable Energy Development International Conference Sub-Forum & China-Serbia Cooperation and Academic Exchange symposium T1 - Theoretical tools for the investigation of hydrogen storage materials – from DFT to machine learning UR - https://hdl.handle.net/21.15107/rcub_vinar_11286 ER -
@conference{ author = "Batalović, Katarina", year = "2022", abstract = "The prospect of hydrogen utilization in everyday energy demands led to significant efforts of the scientific community to improve materials for hydrogen production, storage, and utilization. Clean energy solutions rely on efficient and safe hydrogen storage, and storing hydrogen in various materials is possible. However, unsolved issues regarding the operational conditions of these materials, the kinetics of hydrogen release, and the volume and weight of the stored hydrogen per unit mass of material limit practical applications. [...]", journal = "2022 Sustainable Energy Development International Conference Sub-Forum & China-Serbia Cooperation and Academic Exchange symposium", title = "Theoretical tools for the investigation of hydrogen storage materials – from DFT to machine learning", url = "https://hdl.handle.net/21.15107/rcub_vinar_11286" }
Batalović, K.. (2022). Theoretical tools for the investigation of hydrogen storage materials – from DFT to machine learning. in 2022 Sustainable Energy Development International Conference Sub-Forum & China-Serbia Cooperation and Academic Exchange symposium. https://hdl.handle.net/21.15107/rcub_vinar_11286
Batalović K. Theoretical tools for the investigation of hydrogen storage materials – from DFT to machine learning. in 2022 Sustainable Energy Development International Conference Sub-Forum & China-Serbia Cooperation and Academic Exchange symposium. 2022;. https://hdl.handle.net/21.15107/rcub_vinar_11286 .
Batalović, Katarina, "Theoretical tools for the investigation of hydrogen storage materials – from DFT to machine learning" in 2022 Sustainable Energy Development International Conference Sub-Forum & China-Serbia Cooperation and Academic Exchange symposium (2022), https://hdl.handle.net/21.15107/rcub_vinar_11286 .