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Results: 25

Alex Iglesias-Reguant, Heribert Reis, Miroslav Medveď, Josep M. Luis, Robert Zaleśny
A new computational tool for interpreting the infrared spectra of molecular complexes
Phys. Chem. Chem. Phys., 2023, 25, 11658-11664
DOI: 10.1039/D2CP03562F
Keywords: Chemical bonding, Computational chemistry, Method development, Non-covalent interactions, Spectroscopy

Alex Iglesias-Reguant, Heribert Reis, Miroslav Medved’, Borys Ośmiałowski, Robert Zaleśny, Josep M. Luis
Decoding the infrared spectra changes upon formation of molecular complexes: the case of halogen bonding in pyridine⋯perfluorohaloarene complexes
Phys. Chem. Chem. Phys., 2023, 25, 20173-20177
DOI: 10.1039/D3CP02412A
Keywords: Chemical bonding, Computational chemistry, Method development, Spectroscopy

Mohammadreza Mehdizadeh, Fereshteh Karkhaneh, Mehdi Nekoomanesh, Samahe Sadjadi, Mehrsa Emami, HamidReza Teimoury, Mehrdad Salimi, Miquel Solà, Albert Poater, Naeimeh Bahri-Laleh, Sergio Posada-Pérez
Influence of the Ethanol Content of Adduct on the Comonomer Incorporation of Related Ziegler–Natta Catalysts in Propylene (Co)polymerizations
Polymers, 2023, 15, 4476-
DOI: 10.3390/polym15234476
Keywords: Chemical bonding, Computational chemistry, Organometallics, Sustainable Catalysis

Mostafa Ahmadi, Cora Sprenger, Gerard Pareras, Albert Poater, Sebastian Seiffert
Self-organization of metallo-supramolecular polymer networks by free formation of pyridine–phenanthroline heteroleptic complexes
Soft Matter, 2023, 19, 8112-8123
DOI: 10.1039/d3sm01136d
Keywords: Chemical bonding, Computational chemistry, Supramolecular chemistry

Roger Monreal-Corona, Anna Pla-Quintana, Albert Poater
Predictive catalysis: a valuable step towards machine learning
Trends in Chemistry, 2023, 5, 935-946
DOI: 10.1016/j.trechm.2023.10.005
Keywords: Chemical bonding, Machine learning, Predictive Chemistry, Reaction mechanisms, Sustainable Catalysis