scispace - formally typeset
Search or ask a question

What is the optimized geometry of the water molecule with the B3LYP DFT method, using the 6-311G basis set? 


Best insight from top research papers

The optimized geometry of the water molecule with the B3LYP DFT method, using the 6-311G basis set, has been studied in several papers. Serwatka and Roy employed a density matrix-based optimization procedure to obtain customized basis functions for describing chains of rotating water molecules . Zhang conducted a conformational analysis of 3-cyanophenylboronic acid and optimized its molecular conformers using the DFT/B3LYP method with a 6-311++G(d,p) basis set . Loboda and Millot optimized models of atomic electric multipoles for the water molecule to reproduce the electric potential around the molecule computed by ab initio calculations . However, none of the provided abstracts specifically mention the optimized geometry of the water molecule with the B3LYP DFT method using the 6-311G basis set.

Answers from top 4 papers

More filters
Papers (4)Insight
The provided paper does not mention the optimized geometry of the water molecule with the B3LYP DFT method using the 6-311G basis set.
The provided paper is about the quantum mechanical computations of the conformational, structural, electronic, and spectroscopic properties of 3-cyanophenylboronic acid. There is no information about the optimized geometry of the water molecule with the B3LYP DFT method and the 6-311G basis set in the paper.
The provided paper does not mention the optimized geometry of the water molecule with the B3LYP DFT method using the 6-311G basis set. The paper focuses on the optimization of basis functions for chains of rotating water molecules, not on the specific calculation mentioned in the query.
The provided paper does not mention the optimized geometry of the water molecule with the B3LYP DFT method using the 6-311G basis set.

Related Questions

What is optimal energy of ligand structure definition in molecular docking?5 answersThe optimal energy of ligand structure definition in molecular docking is crucial for accurate binding predictions. Various strategies have been proposed to enhance docking accuracy, such as multi-objective optimization methods that focus on minimizing root mean square deviation (RMSD) and intermolecular energy. Additionally, energy functions like DOcking decoy-based Optimized Potential (DOOP) have been developed to optimize atom-pair interactions for protein structure prediction, leading to improved ranking of native protein structures. Furthermore, approaches like the use of molecular mechanics generalized Born/surface area (MM-GBSA) calculations and Jarzynski identity have shown promise in calculating protein-ligand binding affinities with good agreement to experimental data. These methods collectively contribute to defining the optimal energy of ligand structures in molecular docking for more accurate predictions.
Why do need basis set augumentation in DFT?5 answersBasis set augmentation in Density Functional Theory (DFT) is crucial to enhance accuracy by accounting for electron correlation effects. It allows for better performance by combining higher-level calculations with lower-quality ones. Utilizing appropriate functionals and basis sets is essential in DFT calculations to achieve accurate results comparable to experimental data. Extrapolation techniques from 2- and 3-ζ calculations can significantly improve accuracy, especially for systems with noncovalent interactions, even in large systems. Double-hybrid DFT methods, like DHDFT and DHDFT-F12, offer high accuracy comparable to composite wavefunction approaches, with F12 explicit correlation accelerating basis set convergence and eliminating concerns about accuracy in both development and applications. Overall, basis set augmentation in DFT is vital for achieving precise results in various chemical systems.
What are the properties of water?5 answersWater has distinctive properties such as high cohesion, volumetric anomalies, and more solid phases than other materials. It also exhibits anomalous behavior in the supercooled region, with diverging thermodynamic response functions and the possibility of a second critical point. Surfactants and colloid products containing water form liquid crystals with various structures, and the link between surfactant structure and liquid crystal architecture has been established. The properties of water can be accurately predicted using the RexPoN force field, which is based on quantum mechanics and provides insights into the dynamic fluctuating branched polymer structure of water. Linear free energy relationships based on Abraham descriptors can be used to estimate gas to water partition coefficients and the solvation properties of water at different temperatures.
What are the biological properties of water?4 answersWater in biological systems exhibits unique properties that contribute to the stability and function of biomolecules. The behavior of water molecules in the vicinity of biomacromolecules differs from that of bulk water. Biological water is influenced by both individual water molecules and their collective interactions in the bulk phase. Physicochemical properties of light water, with reduced deuterium and oxygen-18 concentrations, have been studied, revealing significant changes compared to high-resistivity water. Water plays an active role in the structure and stability of proteins, nucleic acids, and their complexes, and is affected by their presence. Water activated with vector potential has been shown to affect the mobility of infusoria, sugar fermentation in yeast cells, and drinking attractivity for mice. Overall, water in biological systems is not just a passive solvent but actively participates in biochemical processes and is influenced by biomolecules.
How to speed up DFT calculations?3 answersTo speed up DFT calculations, several methods have been proposed. One approach is to use tensor-structured algorithms with GPU acceleration, which can provide significant speedup for large-scale systems. Another method is to utilize GPGPU technology, which involves replacing portions of existing programs with GPU-oriented code, resulting in speedups of up to five times compared to CPU versions. Additionally, the use of FFT algorithms can also improve the efficiency of DFT calculations by breaking the sequence into segments and calculating the DFT for each segment. These methods offer different strategies for accelerating DFT calculations, providing faster and more efficient solutions for electronic structure calculations.
What is the optimum pH for the Schiff base reaction?2 answersThe optimum pH for the Schiff base reaction varies depending on the specific system being studied. In the study by Su et al., the pH-sensitive drug release profile of a dextran-based nanogel was investigated, and it was found that doxorubicin (DOX) was released much faster under acidic conditions (pH 2.0, 5.0) compared to pH 7.4. Silva et al. synthesized pH-sensitive small Schiff bases (SBs) and found that the colorimetric and fluorometric properties of the SBs changed above pH 7.0, indicating that the chromogenic property depends on the pH. Srisawang et al. demonstrated pH-induced crosslinking of rice starch and found that the swelling ratio of the crosslinked starch was highest at pH 5 and decreased with increased pH. Sheng et al. prepared injectable hydrogels via Schiff base reaction and found that the hydrogels exhibited appropriate rheology properties and high swelling ratio in phosphate buffer solution (PBS, pH 7.4). Carneiro et al. synthesized dextran-graft-poly (N-isopropylacrylamide) copolymers via Schiff base formation and found that a higher percentage of doxorubicin was released at pH 5.0 compared to physiological pH.