
The Library
Browse by Warwick Author
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Number of items: 16.
Zennaro, Fabio Massimo, Drávucz, Máté, Apachitei, Geanina, Widanage, W. Dhammika and Damoulas, Theodoros (2023) Jointly learning consistent causal abstractions over multiple interventional distributions. In: CLeaR (Causal Learning and Reasoning) 2023, Tübingen, Germany, 11-14 Apr 2023. Published in: Proceedings of CLeaR (Causal Learning and Reasoning) 2023 [ 🗎 Public]. [ (✓) hoa:511 ] (In Press)
Niri, Mona Faraji, Apachitei, Geanina, Lain, Michael J., Copley, Mark and Marco, James (2022) Machine learning for investigating the relative importance of electrodes’ N:P areal capacity ratio in the manufacturing of lithium-ion battery cells. Journal of Power Sources, 549 . 232124. doi:10.1016/j.jpowsour.2022.232124 ISSN 0378-7753. [ 🗎 Public]. [ (✓) hoa:511 ]
Faraji Niri, Mona, Apachitei, Geanina, Lain, Michael J., Copley, Mark and Marco, James (2022) The impact of calendering process variables on the impedance and capacity fade of lithium‐ion cells : an explainable machine learning approach. Energy Technology . 2200893. doi:10.1002/ente.202200893 ISSN 2194-4288. [ 🗎 Public]. [ (✓) hoa:511 ] (In Press)
Roman Ramirez, Luis, Apachitei, Geanina, Faraji Niri, Mona, Lain, Michael J., Widanage, Widanalage Dhammika and Marco, James (2022) Effect of coating operating parameters on electrode physical characteristics and final electrochemical performance of lithium‑ion batteries. International Journal of Energy and Environmental Engineering, 13 . pp. 943-953. doi:10.1007/s40095-022-00481-w ISSN 2008-9163. [ 🗎 Public]. [ (✓) hoa:511 ]
Liu, Kailong, Niri, Mona Faraji, Apachitei, Geanina, Lain, Michael J., Greenwood, David G. and Marco, James (2022) Interpretable machine learning for battery capacities prediction and coating parameters analysis. Control Engineering Practice, 124 . 105202. doi:10.1016/j.conengprac.2022.105202 ISSN 0967-0661. [ 🗎 Public]. [ (✓) hoa:511 ]
Faraji Niri, Mona, Liu, Kailong, Apachitei, Geanina, Lain, Michael J., Widanage, Widanalage Dhammika and Marco, James (2022) Quantifying key factors for optimised manufacturing of Li-ion battery anode and cathode via artificial intelligence. Energy and AI, 100 . 100129. doi:10.1016/j.egyai.2021.100129 [ 🗎 Public]. [ (✓) hoa:511 ]
Roman Ramirez, Luis, Apachitei, Geanina, Faraji Niri, Mona, Lain, Mike J., Widanage, Widanalage Dhammika and Marco, James (2021) Understanding the effect of coating-drying operating variables on electrode physical and electrochemical properties of lithium-ion batteries. Journal of Power Sources, 516 . 230689. doi:10.1016/j.jpowsour.2021.230689 ISSN 0378-7753. [ 🗎 Public]. [ (✓) hoa:511 ]
Román-Ramírez, Luis A., Apachitei, Geanina, Faraji-Niri, Mona, Lain, Michael J., Widanage, Widanalage Dhammika and Marco, James (2021) Experimental data of cathodes manufactured in a convective dryer at the pilot-plant scale, and charge and discharge capacities of half-coin lithium-ion cells. Data in Brief, 40 . 107720. doi:10.1016/j.dib.2021.107720 ISSN 2352-3409. [ 🗎 Public]. [ (✓) hoa:511 ]
Niri, Mona Faraji, Liu, Kailong, Apachitei, Geanina, Ramirez, Luis Roman, Lain, Michael J., Widanage, Widanalage Dhammika and Marco, James (2021) Machine learning for optimised and clean Li-ion battery manufacturing : revealing the dependency between electrode and cell characteristics. Journal of Cleaner Production, 324 . 129272. doi:10.1016/j.jclepro.2021.129272 ISSN 0959-6526. [ 🗎 Public]. [ (✓) hoa:511 ]
Faraji Niri, Mona, Liu, Kailong, Apachitei, Geanina, Roman Ramirez, Luis, Lain, Michael J., Widanage, Widanalage Dhammika and Marco, James (2021) Machine-learning for Li-Ion battery capacity prediction in manufacturing process. In: 240th ECS Meeting, Virtual conference, 10-14 Oct 2021. Published in: ECS Transactions (ECST)
Roman Ramirez, Luis, Apachitei, Geanina, Faraji Niri, Mona, Lain, Michael J., Widanage, Widanalage Dhammika and Marco, James (2021) Study of the cathode coating-drying manufacturing process by design of experiments. In: International Battery Production Conference IBPC 2021, Braunschweig, Germany, 1-3 Nov 2021
Faraji Niri, Mona, Liu, Kailong, Apachitei, Geanina, Roman Ramirez, Luis, Widanage, Widanalage Dhammika and Marco, James (2021) Data mining for quality prediction of battery in manufacturing process : Cathode coating process. In: International Conference on Applied Energy 2020, Bangkok, Thailand; Virtual, 1-10 Dec 2020. Published in: Proceedings of 12th International Conference on Applied Energy, 2020, 11 (3). ISBN 9789198673821. [ 🗎 Public]. [ (🔓): Yes ].
Peters, Jonathan J. P., Bristowe, Nicholas C., Rusu, Dorin, Apachitei, Geanina, Beanland, Richard, Alexe, M. (Marin) and Sánchez, Ana M. (2020) Data for Polarisation screening mechanisms at La0.7Sr0.3MnO3-PbTiO3 interfaces. [Dataset]
Luo, Zheng-Dong, Apachitei, Geanina, Yang, Ming-Min, Peters, Jonathan J. P., Sánchez, Ana M. and Alexe, M. (Marin) (2018) Bi-ferroic memristive properties of multiferroic tunnel junctions. Applied Physics Letters, 112 (10). 102905. doi:10.1063/1.5023877 ISSN 0003-6951. [ 🗎 Public]. [ (✓) hoa:511 ] [ (🔓): Yes ].
Apachitei, Geanina (2017) Tunnelling effects in multiferroic tunnel junctions. PhD thesis, University of Warwick.
Peters, Jonathan J. P., Apachitei, Geanina, Beanland, R., Alexe, M. (Marin) and Sánchez, Ana M. (2016) Polarization curling and flux closures in multiferroic tunnel junctions. Nature Communications, 7 . 13484 . doi:10.1038/ncomms13484 ISSN 2041-1723. [ 🗎 Public]. [ (🔓): Yes ].
This list was generated on Wed Feb 1 11:57:26 2023 GMT.