English
Related papers

Related papers: First-principles study of the infrared spectrum in…

200 papers

We perform ab initio molecular dynamics (AIMD) simulation of liquid water in the canonical ensemble at ambient conditions using the SCAN meta-GGA functional approximation, and carry out systematic comparisons with the results obtained from…

Soft Condensed Matter · Physics 2018-05-14 Lixin Zheng , Mohan Chen , Zhaoru Sun , Hsin-Yu Ko , Biswajit Santra , Pratikkumar Dhuvad , Xifan Wu

The supra-molecular structure of a liquid is strongly connected to its dynamics which in turn controls macroscopic properties such as viscosity. Consequently, detailed knowledge about how this structure changes with temperature is essential…

Soft Condensed Matter · Physics 2025-08-05 Jan Philipp Gabriel , Robin Horstmann , Martin Tress

Water is of the utmost importance for life and technology. However, a genuinely predictive ab initio model of water has eluded scientists. We demonstrate that a fully ab initio approach, relying on the strongly constrained and appropriately…

Constructed to satisfy all known exact constraints and appropriate norms for a semilocal density functional, the strongly constrained and appropriately normed (SCAN) meta-generalized gradient approximation functional has shown early promise…

Materials Science · Physics 2018-06-26 Eric B. Isaacs , Chris Wolverton

Predicting the asymmetric structure and dynamics of solvated hydroxide and hydronium in water has been a challenging task from ab initio molecular dynamics (AIMD). The difficulty mainly comes from a lack of accurate and efficient…

Chemical Physics · Physics 2022-07-20 Renxi Liu , Chunyi Zhang , Xinyuan Liang , Jianchuan Liu , Xifan Wu , Mohan Chen

The improved photocatalytic water splitting using 2D materials has technological importance for economically viable renewable energy. The present study focuses on the effect of uniaxial, biaxial, and vertical strain on the energy gap and…

Materials Science · Physics 2023-01-11 Soumendra Kumar Das , Lokanath Patra , Prasanjit Samal , Pratap K Sahoo

Obtaining a precise theoretical description of the spectral properties of liquid water poses challenges for both molecular dynamics (MD) and electronic structure methods. The lower computational cost of the Koopmans-compliant functionals…

The local structure of liquid water as a function of temperature is a source of intense research. This structure is intimately linked to the dynamics of water molecules, which can be measured using Raman and infrared spectroscopies. The…

Soft Condensed Matter · Physics 2016-01-07 Daniel C. Elton , M. -V. Fernández-Serra

We report an analysis of the stretching peak appearing in the IR experimental spectra of liquid water. In the literature, ATR-IR spectroscopic measurements were repeatedly performed in a wide range of temperature and gave rise to a lively…

Soft Condensed Matter · Physics 2013-10-03 A. De Ninno , E. Del Giudice , L. Gamberale , A. Congiu Castellano

The network connectivity in liquid water is revised in terms of electronic signatures of hydrogen bonds (HBs) instead of geometric criteria, in view of recent X-ray absorption studies. The analysis is based on ab initio molecular-dynamics…

Other Condensed Matter · Physics 2009-11-11 M. V. Fernandez-Serra , Emilio Artacho

The newly developed "strongly constrained and appropriately normed" (SCAN) meta-generalized-gradient approximation (meta-GGA) can generally improve over the non-empirical Perdew-Burke-Ernzerhof (PBE) GGA not only for strong chemical…

Materials Science · Physics 2016-10-19 Haowei Peng , Zeng-Hui Yang , Jianwei Sun , John P. Perdew

Within the framework of Kohn-Sham density functional theory (DFT), the ability to provide good predictions of water properties by employing a strongly constrained and appropriately normed (SCAN) functional has been extensively demonstrated…

We present a modification to our recently published SAFT-based classical density functional theory for water. We have recently developed and tested a functional for the averaged radial distribution function at contact of the hard-sphere…

Soft Condensed Matter · Physics 2015-06-17 Eric J. Krebs , Jeff B. Schulte , David Roundy

Oxygen K-edge X-ray absorption spectra of liquid water are computed based on the configurations from advanced ab initio molecular dynamics simulations, as well as an electron excitation theory from the GW method. One one hand, the molecular…

Soft Condensed Matter · Physics 2017-09-15 Zhaoru Sun , Mohan Chen , Lixin Zheng , Jianping Wang , Biswajit Santra , Huaze Shen , Limei Xu , Wei Kang , Michael L. Klein , Xifan Wu

Eleven density functionals are compared with regard to their performance for the lattice constants of solids. We consider standard functionals, such as the local-density approximation and the Perdew-Burke-Ernzerhof (PBE)…

We investigate the structural properties of liquid water at near ambient conditions using first-principles molecular dynamics simulations based on a semilocal density functional augmented with nonlocal van der Waals interactions. The…

Soft Condensed Matter · Physics 2016-08-01 Giacomo Miceli , Stefano de Gironcoli , Alfredo Pasquarello

Absorption spectra of liquid water at 300 K are calculated from both classical and density functional theory molecular dynamics simulation data, which together span from 1 MHz to hundreds of THz, agreeing well with experimental data…

Chemical Physics · Physics 2020-09-09 Shane Carlson , Florian N. Brünig , Philip Loche , Douwe Jan Bonthuis , Roland R. Netz

The hydrogen-bond (H-bond) network of high-pressure water is investigated by neural-network-based molecular dynamics (MD) simulations with the first-principles accuracy. The static structure factors (SSFs) of water at three densities, i.e.,…

Chemical Physics · Physics 2023-08-04 Renxi Liu , Mohan Chen

The isotope effects in x-ray absorption spectra of liquid water are studied by a many-body approach within electron-hole excitation theory. The molecular structures of both light and heavy water are modeled by path-integral molecular…

Disordered Systems and Neural Networks · Physics 2020-09-29 Chunyi Zhang , Linfeng Zhang , Jianhang Xu , Fujie Tang , Biswajit Santra , Xifan Wu

We introduce a scheme based on machine learning and deep neural networks to model the environmental dependence of the electronic polarizability in insulating materials. Application to liquid water shows that training the network with a…

Chemical Physics · Physics 2020-06-24 Grace M. Sommers , Marcos F. Calegari Andrade , Linfeng Zhang , Han Wang , Roberto Car
‹ Prev 1 2 3 10 Next ›