You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["Chemical"].

Please return the output as a JSON object of the format: {"Chemical": ["Arsenic", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Towards Understanding the Bonding Character in Complexes of Coinage Metals with Lone-Pair Ligands. CCSD(T) and DFT Computations. We present CCSD(T) interaction energies and the bonding analysis for complexes of Cu, Ag, and Au with the lone-pair ligands, H2O, OF2, OMe2, NH3, NF3, NMe3, H2S, SF2, SMe2, PH3, PF3, PCl3, PMe3 (ML complexes). Both, electron correlation and relativistic effects, are crucial in the bonding of all complexes. AuPH3, AuPF3 and AuPCl3 (MPX3) complexes exhibit particularly large relativistic effects, 30 - 46 kJ/mol. Upon neglecting relativistic effects the Au-P bonds almost vanish aside from weak long-range van der Waals interactions. Highest binding energies are computed for complexes with Au, followed by Cu and Ag. For all coinage metals the strongest interactions are computed for PX3 ligands followed by SX2 and NX3 OX2 ligands. Upon methylation the interaction energy rises significantly. Metal-thiol complexes, particularly AuSCH3, form a separate class. Exceptional stability of gold complexes is due to large relativistic enhancement of the electron affinity of Au. Along with the electron affinity of a metal we link the pattern of interaction energies in ML complexes with ionization potentials (IPs) of ligands. Strong interaction with P containing ligands is attributed to their lower IP and the lone pair → metal electron donation accompanied with the back-donation characteristic for P containing ligand. Energy data are accompanied with the Natural Bond Orbital (NBO) analysis. Computationally less demanding DFT computations with the PBE0 functional provide correct pattern of interaction energies when compared with benchmark CCSD(T) results.
{"Chemical": ["NF3", "NH3", "Ag", "PCl3", "PF3", "AuSCH3", "SMe2", "PX3", "AuPH3", "PH3", "AuPF3", "NMe3", "SX2", "PMe3", "AuPCl3", "SF2", "P", "NX3", "H2S", "OX2", "H2O", "Au", "Metal-thiol", "OMe2", "Cu", "OF2"]}