We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.
The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ...
Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.
Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.
Other cookies are those that are being identified and have not been classified into any category as yet.
The cubic-shaped polyoxothiomolybdate [ M o 84 O 188 S 48 ( A c O ) 24 ] 40 – first reported by Cadot and collaborators has been characterized by DFT methods for the first time, elucidating its electronic structure by means of the analysis of the density of states as well as its frontier molecular orbitals. Moreover, the electron density of this complex molecular oxo-cluster has been studied through QTAIM analysis, focusing on the characteristic Mo(V)-Mo(V) bonding pattern appearing at the corner subunits of the nanocapsule.
Garay-Ruiz, D.; Buils, J.; Bandeira, N. A. G.; Floquet, S.; Cadot, E.; Bo, C.
Inorg. Chem. 2025, 64 (6), 2716-2722
DOI:
10.1021/acs.inorgchem.4c04497
This project is aimed at applying modern computational chemistry methods to solve problems in the fields of catalysis and nanoscience, some of those called emerging chemical technologies that show great promise for alleviating important societal problems and for a sustainable development.
See moreData4Mat will boost the digital discovering of new catalysts to help solving crucial societal challenges such are the climate change and the quest for alternative energies sources by applying modern computational chemistry methods and advanced data treatment. Fixing CO2 to create value-added chemicals as are organic carbonates and/or polycarbonates, and finding catalytic materials to form hydrogen efficiently are the two main targets of the project.
See moreJoin our team to work with renowned researchers, tackle groundbreaking
projects and contribute to meaningful scientific advancements