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Deep learning-based prediction of particle breakage and fri..:
Aziz, Mubashir
;
Mohammed, Anwaruddin Siddiqui
;
Ali, Umair
...
Powder Technology. 444 (2024) - p. 120049 , 2024
Link:
https://doi.org/10.1016/j.powtec.2024.120049
RT Journal T1
Deep learning-based prediction of particle breakage and friction angle of water-degradable geomaterials
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.powtec.2024.120049&Exemplar=1&LAN=DE A1 Aziz, Mubashir A1 Mohammed, Anwaruddin Siddiqui A1 Ali, Umair A1 Saleem, Muhammad Azhar A1 Mazher, Khwaja Mateen A1 Hanif, Asad A1 Ali, Usman PB Elsevier BV YR 2024 SN 0032-5910 JF Powder Technology VO 444 SP 120049 LK http://dx.doi.org/https://doi.org/10.1016/j.powtec.2024.120049 DO https://doi.org/10.1016/j.powtec.2024.120049 SF ELIB - SuUB Bremen
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