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Molecules (Basel, Switzerland)|February 11, 2023
Tuning Photochemical and Photophysical Properties of P(V) PhthalocyaninesEvgeniya A Safonova, Filipp M Kolomeychuk, Daniil A Gvozdev, et al.
Dalton Transactions (Cambridge, England : 2003)|February 12, 2025
Non-aggregated ruthenium naphthalocyanine enabling homogeneous carbene insertion into N-H bonds at low catalyst loadingAndrey P Kroitor, Alexander G Martynov, Yulia G Gorbunova, et al.
Dalton Transactions (Cambridge, England : 2003)|October 16, 2018
Crown-substituted naphthalocyanines: synthesis and supramolecular control over aggregation and photophysical propertiesEvgeniya A Safonova, Marina A Polovkova, Alexander G Martynov, et al.
RSC Advances|May 6, 2022
Functionalized heterocycle-appended porphyrins: catalysis mattersInna A Abdulaeva, Kirill P Birin, Daria A Polivanovskaia, et al.
Molecules (Basel, Switzerland)|January 21, 2022
Low-Symmetry Phthalocyanines Bearing Carboxy-Groups: Synthesis, Spectroscopic and Quantum-Chemical CharacterizationDmitry A Bunin, Nobuhle Ndebele, Alexander G Martynov, et al.
Molecules (Basel, Switzerland)|June 10, 2023
Site-Selective Solvation-Induced Conformational Switching of Heteroleptic Heteronuclear Tb(III) and Y(III) Trisphthalocyaninates for the Control of Their Magnetic AnisotropyAlexander G Martynov, Kirill P Birin, Gayane A Kirakosyan, et al.
Chempluschem|September 11, 2024
Phosphonate-Substituted Pyrazinoporphyrin - a General Photocatalyst for Efficient SulfoxidationDaria A Polivanovskaia, Inna A Abdulaeva, Kirill P Birin, et al.
Chemical Society Reviews|October 31, 2022
Rare-earth based tetrapyrrolic sandwiches: chemistry, materials and applicationsAlexander G Martynov, Yoji Horii, Keiichi Katoh, et al.
ACS Omega|August 29, 2019
Methodological Survey of Simplified TD-DFT Methods for Fast and Accurate Interpretation of UV-Vis-NIR Spectra of PhthalocyaninesAlexander G Martynov, John Mack, Aviwe K May, et al.
Physical Chemistry Chemical Physics : PCCP|March 25, 2025
Examining proton conductivity of metal-organic frameworks by means of machine learningIvan V Dudakov, Sergei A Savelev, Iurii M Nevolin, et al.
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