RESUMO
Fabricating research within the scientific community has consequences for one's credibility and undermines honest authors. We demonstrate the feasibility of fabricating research using an AI-based language model chatbot. Human detection versus AI detection will be compared to determine accuracy in identifying fabricated works. The risks of utilizing AI-generated research works will be underscored and reasons for falsifying research will be highlighted.
RESUMO
The compound poly[2-hydroxy-N-methylethan-1-aminium [µ3-cyanido-κ3C:C:N-di-µ-cyanido-κ4C:N-dicuprate(I)]], {(C3H10NO)[Cu2(CN)3]}n or [meoenH]Cu2(CN)3, crystallizes in the tetragonal space group P43. The structure consists of a three-dimensional (3D) anionic CuICN network with noncoordinated protonated N-methylethanolamine cations providing charge neutrality. Pairs of cuprophilic Cu atoms are bridged by the C atoms of µ3-cyanide ligands, which link these units into a 43 spiral along the c axis. The spirals are linked together into a 3D anionic network by the two other cyanide groups. The cationic moieties are linked into their own 43 spiral via N-H...O and O-H...O hydrogen bonds, and the cations interact with the 3D network via an unusual pair of N-H...N hydrogen bonds to one of the µ2-cyanide groups. Thermogravimetric analysis indicates an initial loss of the base cation and one cyanide as HCN at temperatures in the range 130-250â °C to form CuCN. We show how loss of a specific cyanide group from the 3D CuCN structure could form the linear CuCN structure. Further heating leaves a residue of elemental copper, isolated as the oxide.