Molecular dynamics of charged dipole particles using machine learning - (NkUHAR(B, (NoLEKSANDR mIHAJLOWI^s; Ukrainian Catholic University Department of computer sciences Faculty of applied sciences (Lviv [s.n.], 2023)
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(Nm)QÆSTITX BÆBLÆOGRAFÆ@s)E