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Assessing the persistence of chalcogen bonds in solution with neural network potentials

Related publications (138)

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Pulay forces in density-functional theory with extended Hubbard functionals: From nonorthogonalized to orthogonalized manifolds

Nicola Marzari, Iurii Timrov, Matteo Cococcioni, Francesco Aquilante, Luca Binci

We present a derivation of the exact expression for Pulay forces in density-functional theory calculations augmented with extended Hubbard functionals and arising from the use of orthogonalized atomic orbitals as projectors for the Hubbard manifold. The de ...

AMER PHYSICAL SOC2020

Pure Spin Current and Magnon Chemical Potential in a Nonequilibrium Magnetic Insulator

Kyongmo An, Li Shi

Nonequilibrium phenomena are ubiquitous in nature and in a wide range of systems, including cold atomic gases and solid-state materials. While these phenomena are challenging to describe both theoretically and experimentally, they are essential for the fun ...

2020

Solvent-Aware Interfaces in Continuum Solvation

Nicola Marzari, Oliviero Andreussi, Francesco Nattino, Nicolas Georg Hörmann

Continuum models to handle solvent and electrolyte effects in an effective way have a long tradition in quantum-chemistry simulations and are nowadays also being introduced in computational condensed-matter and materials simulations. A key ingredient of co ...

AMER CHEMICAL SOC2019

Alignment of energy levels in amorphous oxides and at semiconductor-water interfaces

Zhendong Guo

We conduct a detailed investigation of defects in two representative amorphous oxides: amorphous Al2O3 (am-Al2O3) and TiO2 (am-TiO2), by combining ab initio molecular dynamics (MD) simulations and hybrid functional calculations. Our results indicate that o ...

EPFL2019

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Quantum mechanical simulations that include the effects of the liquid environment are highly relevant for the characterization of solid-liquid interfaces, which is crucial for the design of a wide range of devices. In this work we present a rigorous and sy ...

2019

i-PI 2.0: A universal force engine for advanced molecular simulations

Michele Ceriotti, David Mark Wilkins, Bingqing Cheng, Venkat Kapil, Riccardo Petraglia, Gareth Aneurin Tribello, Mariana Rossi Carvalho, Benjamin Aaron Helfrecht, Robert Horst Meissner, Alice Cuzzocrea, Sébastien Pierre Bienvenue, Przemyslaw Juda, Wei Fang

Progress in the atomic-scale modeling of matter over the past decade has been tremendous. This progress has been brought about by improvements in methods for evaluating interatomic forces that work by either solving the electronic structure problem explici ...

ELSEVIER SCIENCE BV2019

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Standard flavors of density-functional theory (DFT) calculations are known to fail in describing anions, due to large self-interaction errors. The problem may be circumvented using localized basis sets of reduced size, leaving no variational flexibility fo ...

AMER CHEMICAL SOC2019

The predictive simulation of molecular liquids requires potential energy surface (PES) models that are not only accurate but also computationally efficient enough to handle the large systems and long time scales required for reliable prediction of macrosco ...

AMER CHEMICAL SOC2019

Synergy of classical and quantum computational methods to investigate the properties of microporous materials

Daniele Ongari

The aim of this thesis is to explore the power and the limits of classical and quantum molecular modelling, for the investigation of the adsorption properties of microporous crystalline materials. The materials analyzed are metal organic frameworks (MOFs) ...

EPFL2019

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Continuum electrolyte models represent a practical tool to account for the presence of the diffuse layer at electrochemical interfaces. However, despite the increasing popularity of these in the field of materials science, it remains unclear which features ...

AMER INST PHYSICS2019