scholarly journals Water Clusters in Lignite and Desorption Energy Calculation by Density Functional Theory

ACS Omega ◽  
2019 ◽  
Vol 4 (10) ◽  
pp. 14219-14225
Author(s):  
Qiongqiong He ◽  
Yawen Xiao ◽  
Zhenyong Miao ◽  
Mingjun Sun ◽  
Keji Wan ◽  
...  
Keyword(s):  
Density Functional Theory ◽  
Density Functional ◽  
Water Clusters ◽  
Energy Calculation ◽  
Desorption Energy ◽  
Functional Theory

Reciprocal Polarizable Embedding with a Transferable H2O Potential Function II: Application to (H2O)n Clusters & Liquid Water

2019 ◽  
Author(s):  
Asmus Ougaard Dohn ◽  
Elvar Jónsson ◽  
Hannes Jonsson
Keyword(s):  
Density Functional Theory ◽  
Liquid Water ◽  
Density Functional ◽  
Water Clusters ◽  
Theory Model ◽  
Coupling Scheme ◽  
Functional Theory ◽  
Total Polarization ◽  
Electrostatic Embedding ◽  
Polarizable Embedding

The manuscript analyzes the accuracy of our recently developed reciprocal polarizable embedding scheme, where a density functional theory model of the QM region is coupled to a dipole- and quadrupole polarizable water potential of the MM region. We present calculations of water clusters and liquid water where we analyze the energy, atomic forces and total polarization to demonstrate that artifacts in energy and polarization introduced by the QM/MM coupling are small and well-behaved. Furthermore, our methodology improves the consistency of the structure of optimized water hexamer geometries when compared to results obtained with models that neglect polarization. Additionally, the manuscript provides evidence that our coupling scheme eliminates artifacts in the structure of liquid water obtained with simpler electrostatic embedding models.

Ribosomal RNA–Aminoglycoside Hygromycin B Interaction Energy Calculation within a Density Functional Theory Framework

2019 ◽  
Vol 123 (30) ◽  
pp. 6421-6429 ◽  
Author(s):  
Katyanna S. Bezerra ◽  
Umberto L. Fulco ◽  
Stephany C. Esmaile ◽  
José X. Lima Neto ◽  
Leonardo D. Machado ◽  
...  
Keyword(s):  
Density Functional Theory ◽  
Interaction Energy ◽  
Ribosomal Rna ◽  
Density Functional ◽  
Energy Calculation ◽  
Hygromycin B ◽  
Functional Theory ◽  
Theory Framework

scholarly journals Elevating Density Functional Theory to Chemical Accuracy for Water Simulations through a Density-Corrected Many-Body Formalism

2021 ◽  
Author(s):  
Saswata Dasgupta ◽  
Eleftherios Lambros ◽  
John Perdew ◽  
Francesco Paesani
Keyword(s):  
Density Functional Theory ◽  
Density Functional ◽  
Water Clusters ◽  
Potential Energy Function ◽  
Data Driven ◽  
Coupled Cluster ◽  
Many Body ◽  
Functional Theory ◽  
Dynamics Simulations ◽  
Body Potential

Density functional theory (DFT) has been extensively used to model the properties of water. Albeit maintaining a good balance between accuracy and efficiency, no density functional has so far achieved the degree of accuracy necessary to correctly predict the properties of water across the entire phase diagram. Here, we present density-corrected SCAN (DC-SCAN) calculations for water which, minimizing density-driven errors, elevate the accuracy of the SCAN functional to that of “gold standard” coupled-cluster theory. Building upon the accuracy of DC-SCAN within a many-body formalism, we introduce a data-driven many-body potential energy function, MB-SCAN(DC), that quantitatively reproduces coupled cluster reference values for interaction, binding, and individual many-body energies of water clusters. Importantly, molecular dynamics simulations carried out with MB-SCAN(DC) also reproduce the properties of liquid water, which thus demonstrates that MB-SCAN(DC) is effectively the first DFT-based model that correctly describes water from the gas to the liquid phase.

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