Vishwesh Venkatraman
Background and activities
My research focuses on design and development of tools for the computer-aided design of materials applied to solar cells, batteries, organic electronics and drug design. As part of these efforts I use a combination of quantum chemistry and data science to explore the vast chemical space. For a complete list of my publications see https://scholar.google.com/citations?user=BcIvu10AAAAJ&hl=en
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
Journal publications
- (2019) Benzotriazoles, Benzothiazoles and Trace Elements in an Urban Road Setting in Trondheim, Norway: Re-Visiting the Chemical Markers of Traffic Pollution. Science of the Total Environment. vol. 649.
- (2019) DENOPTIM: Software for Computational de Novo Design of Organic and Inorganic Molecules. Journal of Chemical Information and Modeling.
- (2019) Hydroxyl Functionalized Pyridinium Ionic Liquids: Experimental and Theoretical Study on Physicochemical and Electrochemical Properties. Frontiers in Chemistry.
- (2019) Rapid, comprehensive screening of ionic liquids towards sustainable applications. Sustainable Energy & Fuels. vol. 3 (10).
- (2019) The Ionic Liquid Property Explorer: An Extensive Library of Task-Specific Solvents. Data. vol. 4 (2).
- (2019) Establishing Predictive Models for Solvatochromic Parameters of Ionic Liquids. Frontiers in Chemistry. vol. 7.
- (2018) The dye-sensitized solar cell database. Journal of Cheminformatics. vol. 10:18.
- (2018) Local initiation conditions for water autoionization. Proceedings of the National Academy of Sciences of the United States of America. vol. 115 (20).
- (2018) Designing High-Refractive Index Polymers Using Materials Informatics. Polymers. vol. 10 (1).
- (2018) Predicting ionic liquid melting points using machine learning. Journal of Molecular Liquids. vol. 264.
- (2018) In silico prediction and experimental verification of ionic liquid refractive indices. Journal of Molecular Liquids. vol. 264.
- (2017) Predicting CO2 capture of ionic liquids using machine learning. Journal of CO2 Utilization. vol. 21.
- (2016) TD-DFT based fine-tuning of molecular excitation energies using evolutionary algorithms. RSC Advances. vol. 6.
- (2016) KRAKENX: software for the generation of alignment-independent 3D descriptors. Journal of Molecular Modeling. vol. 22 (4).
- (2016) Quantitative structure-property relationship modelling of thermal decomposition temperatures of ionic liquids. Journal of Molecular Liquids. vol. 223.
- (2016) Computer-aided molecular design of imidazole-based absorbents for CO2 capture. International Journal of Greenhouse Gas Control. vol. 49.
- (2015) Artificial evolution of coumarin dyes for dye sensitized solar cells. Physical Chemistry, Chemical Physics - PCCP. vol. 17 (41).
- (2015) Can chemometrics be used to guide the selection of suitable DFT functionals?. Chemometrics and Intelligent Laboratory Systems. vol. 142.
- (2015) A quantitative structure-property relationship study of the photovoltaic performance of phenothiazine dyes. Dyes and pigments. vol. 114 (C).
- (2015) Evolutionary de novo design of phenothiazine derivatives for dye-sensitized solar cells. Journal of Materials Chemistry A. vol. 3 (18).