E
Enrico Riccardi
Researcher at Norwegian University of Science and Technology
Publications - 40
Citations - 587
Enrico Riccardi is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Adsorption & Molecular dynamics. The author has an hindex of 14, co-authored 38 publications receiving 484 citations. Previous affiliations of Enrico Riccardi include Technische Universität Darmstadt & Missouri University of Science and Technology.
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Journal ArticleDOI
Effect of nanoroughness on highly hydrophobic and superhydrophobic coatings.
Lena Mammen,Xu Deng,Maria B. Untch,Dandapani Vijayshankar,Periklis Papadopoulos,Rüdiger Berger,Enrico Riccardi,Frédéric Leroy,Doris Vollmer +8 more
TL;DR: Experimental and numerical data exhibits that a roughness-induced increase of the contact angle competes with increased pinning caused by penetration of liquid into nanopores or between neighboring semifluorinated molecules.
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Local initiation conditions for water autoionization
Mahmoud Moqadam,Anders Lervik,Enrico Riccardi,Vishwesh Venkatraman,Bjørn K. Alsberg,Titus S. van Erp,Titus S. van Erp +6 more
TL;DR: This work investigated the self-ionization of water at room temperature by rare-event ab initio molecular dynamics and obtained autoionization rates and activation energies in good agreement with experiments and identified anomalies in the water structure that act as initiators of the reaction.
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Density Functional Theory Study on the Interactions of Metal Ions with Long Chain Deprotonated Carboxylic Acids
Aleksandar Y. Mehandzhiyski,Enrico Riccardi,Titus S. van Erp,Henrik Koch,Per-Olof Åstrand,Thuat T. Trinh,Brian A. Grimes +6 more
TL;DR: In this work, interactions between carboxylate ions and calcium or sodium ions are investigated via density functional theory (DFT) and results indicate that near the equilibrium distance, the charge transfer between the metal ion and the deprotonated carboxylic acid group is significant and leads to non-negligible differences between the DFT and MM potential curves.
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PyRETIS: A well-done, medium-sized python library for rare events
TL;DR: PyRETIS is a Python library for performing TIS and RETIS simulations, designed to be easily interfaced with any molecular simulation package and in the present release, it has been interfaces with GROMACS and CP2K, for classical and ab initio MD simulations, respectively.
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Ab Initio Molecular Dynamics Study on the Interactions between Carboxylate Ions and Metal Ions in Water.
TL;DR: The results indicate that the magnesium ion interacts most strongly with the carboxylate, followed by calcium, strontium, and barium, while the solvent dynamics appear to play an important role during the dissociation of the complex and also in the observed selectivity behavior of the divalent ions.