Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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693.932 PEOPLE
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De Silva, Piotr

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Technical University of Denmark

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2024Solution-Processed OLEDs Based on a Bipolar AIE Terpyridine Derivative as a Host2citations
  • 2024Solution-Processed OLEDs Based on a Bipolar AIE Terpyridine Derivative as a Host2citations
  • 2023Quantum Mechanical Modeling of Flow Battery Materials1citations
  • 2021A Computational Protocol Combining DFT and Cheminformatics for Prediction of pH-Dependent Redox Potentials21citations

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Vilkauskas, Andrius
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Sousa, Leonardo Evaristo De
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Palevicius, Arvydas
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Nutalapati, Venkatramaiah
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Palanisamy, Prasanth
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Thieulloy, Laure De
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Managutti, Praveen B.
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Nunzi, Jean Michel
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Mohamed, Sharmarke
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Hosseinnezhad, Mozhgan
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De Thieulloy, Laure
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De Sousa, Leonardo Evaristo
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Fornari, Rocco Peter
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Co-Authors (by relevance)

  • Vilkauskas, Andrius
  • Sousa, Leonardo Evaristo De
  • Palevicius, Arvydas
  • Nutalapati, Venkatramaiah
  • Palanisamy, Prasanth
  • Thieulloy, Laure De
  • Managutti, Praveen B.
  • Nunzi, Jean Michel
  • Mohamed, Sharmarke
  • Hosseinnezhad, Mozhgan
  • Rabiei, Marzieh
  • Nasiri, Sohrab
  • Janusas, Giedrius
  • De Thieulloy, Laure
  • De Sousa, Leonardo Evaristo
  • Fornari, Rocco Peter
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article

A Computational Protocol Combining DFT and Cheminformatics for Prediction of pH-Dependent Redox Potentials

  • De Silva, Piotr
  • Fornari, Rocco Peter
Abstract

Discovering new materials for energy storage requires reliable and efficient protocols for predicting key properties of unknown compounds. In the context of the search for new organic electrolytes for redox flow batteries, we present and validate a robust procedure to calculate the redox potentials of organic molecules at any pH value, using widely available quantum chemistry and cheminformatics methods. Using a consistent experimental data set for validation, we explore and compare a few different methods for calculating reaction free energies, the treatment of solvation, and the effect of pH on redox potentials. We find that the B3LYP hybrid functional with the COSMO solvation method, in conjunction with thermal contributions evaluated from BLYP gas-phase harmonic frequencies, yields a good prediction of pH = 0 redox potentials at a moderate computational cost. To predict how the potentials are affected by pH, we propose an improved version of the Alberty-Legendre transform that allows the construction of a more realistic Pourbaix diagram by taking into account how the protonation state changes with pH.

Topics
  • compound
  • phase
  • density functional theory
  • pH value