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.
25th July 2024 -
This award highlights outstanding articles in Chemistry and Computation and is addressed to PhD students
The Institute of Chemical Research of Catalonia (ICIQ-CERCA) announces that Santiago Morandi has been awarded the Premio Juan Bertrán i Rusca by the Group of Experts in Chemistry and Computation (GEQC) of the Spanish Royal Society of Chemistry (RSEQ). Santiago is a PhD Student from Prof. Núria López’s group and this recognition highlights his contributions to an outstanding article in the field of computational chemistry.
The distinguished work, “Fast evaluation of the adsorption energy of organic molecules on metals via graph neural networks” (Nat. Comput. Sci. 2023, 3, 433−442)” was led by Prof. López in collaboration with Prof. Alán Aspuru-Guzik from the University of Toronto. This article presents a new tool called GAME-Net that can make fast chemical predictions on a laptop that would otherwise have to be simulated for days by density functional theory (DFT) on a supercomputer. GAME-Net is a graph neural network that rapidly evaluates adsorption energy when molecules attach to surfaces.
About Santiago Morandi
Santiago completed his M. Sc. in Chemical Engineering in December 2019 at Politecnico Di Milano, Italy. He undertook an internship in the Advanced Process Control (APC) team at BASF SE, Antwerp, Belgium from March 2019 – September 2019 and joined ICIQ in October 2020 to pursue his PhD studies under Prof. López’s supervision. He is working in the project “Statistical learning for converging strategies in thermal and electrochemical conversion of small molecules” funded by NCCR Catalysis, Switzerland. The aim of the project is to convert small molecules to useful chemicals.
Join our team to work with renowned researchers, tackle groundbreaking
projects and contribute to meaningful scientific advancements