Computational Study of Hydrogen Bonded Systems

Computational Study of Hydrogen Bonded Systems PDF Author: Jan Kazimirski
Publisher:
ISBN:
Category :
Languages : en
Pages : 232

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Computational Study of Hydrogen Bonded Systems

Computational Study of Hydrogen Bonded Systems PDF Author: Jan Kazimirski
Publisher: LAP Lambert Academic Publishing
ISBN: 9783845408071
Category :
Languages : en
Pages : 148

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Book Description
Water is one of the most interesting chemical systems to study. Investigation of water clusters can help to understand unique properties of condensed phase and particulate H2O. One of the main problems encountered while studying these systems is the global minimum problem. The potential energy landscape of water clusters becomes more and more complicated with growing number of water molecules. In this work we use a combined approach to search of minima of water clusters. It is based on a combination of three different computational techniques. The first is based on classical molecular dynamics. The second algorithm is aimed at improving orientational structure of water molecules within a given cluster, using a Monte Carlo approach. The third algorithm is based on a Diffusion Monte Carlo method (DMC) combined with local minimization (i.e. PES deformation). The proposed approach is tested on TIP4P water cluster systems. The low energy structures obtained from our optimization scheme are used for analysis of the tendency of transition from amorphous (small clusters) toward ordered, crystal-like structures (big clusters).

Spectroscopy and Computation of Hydrogen-BondedSystems

Spectroscopy and Computation of Hydrogen-BondedSystems PDF Author: Marek J. Wójcik
Publisher: John Wiley & Sons
ISBN: 3527349723
Category : Science
Languages : en
Pages : 548

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Book Description
Comprehensive spectroscopic view of the state-of the-art in theoretical and experimental hydrogen bonding research Spectroscopy and Computation of Hydrogen-Bonded Systems includes diverse research efforts spanning the frontiers of hydrogen bonding as revealed through state-of-the-art spectroscopic and computational methods, covering a broad range of experimental and theoretical methodologies used to investigate and understand hydrogen bonding. The work explores the key quantitative relationships between fundamental vibrational frequencies and hydrogen-bond length/strength and provides an extensive reference for the advancement of scientific knowledge on hydrogen-bonded systems. Theoretical models of vibrational landscapes in hydrogen-bonded systems, as well as kindred studies designed to interpret intricate spectral features in gaseous complexes, liquids, crystals, ices, polymers, and nanocomposites, serve to elucidate the provenance of spectroscopic findings. Results of experimental and theoretical studies on multidimensional proton transfer are also presented. Edited by two highly qualified researchers in the field, sample topics covered in Spectroscopy and Computation of Hydrogen-Bonded Systems include: Quantum-mechanical treatments of tunneling-mediated pathways in enzyme catalysis and molecular-dynamics simulations of structure and dynamics in hydrogen-bonded systems Mechanisms of multiple proton-transfer pathways in hydrogen-bonded clusters and modern spectroscopic tools with synergistic quantum-chemical analyses Mechanistic investigations of deuterium kinetic isotope effects, ab initio path integral methods, and molecular-dynamics simulations Key relationships that exist between fundamental vibrational frequencies and hydrogen-bond length/strength Analogous spectroscopic and semi-empirical computational techniques examining larger hydrogen-bonded systems Reflecting the polymorphic nature of hydrogen bonding and bringing together the latest experimental and computational work in the field, Spectroscopy and Computation of Hydrogen-Bonded Systems is an essential resource for chemists and other scientists involved in projects or research that intersects with the topics covered within.

Understanding Hydrogen Bonds

Understanding Hydrogen Bonds PDF Author: Sławomir J Grabowski
Publisher: Royal Society of Chemistry
ISBN: 183916042X
Category : Science
Languages : en
Pages : 487

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Book Description
Hydrogen bonded systems play an important role in all aspects of science but particularly chemistry and biology. Notably, the helical structure of DNA is heavily reliant on the hydrogens bonds between the DNA base pairs. Although the area of hydrogen bonding is one that is well established, our understanding has continued to develop as the power of both computational and experimental techniques has improved. Understanding Hydrogen Bonds presents an up-to-date overview of our theoretical and experimental understanding of the hydrogen bond. Well-established and novel approaches are discussed, including quantum theory of ‘atoms in molecules’ (QTAIM); the electron localization function (ELF) method and Car–Parinnello molecular dynamics; the natural bond orbital (NBO) approach; and X-ray and neutron diffraction and spectroscopy. The mechanism of hydrogen bond formation is described and comparisons are made between hydrogen bonds and other types of interaction. The author also takes a look at new types of interaction that may be classified as hydrogen bonds with a focus on those with multicentre proton acceptors or with multicentre proton donors. Understanding Hydrogen Bonds is a valuable reference for experimentalists and theoreticians interested in updating their understanding of the types of hydrogen bonds, their role in chemistry and biology, and how they can be studied.

A Computational and Theoretical Study of Conductance in Hydrogen-bonded Molecular Junctions

A Computational and Theoretical Study of Conductance in Hydrogen-bonded Molecular Junctions PDF Author: Michael Wimmer
Publisher:
ISBN:
Category : Charge exchange
Languages : en
Pages : 125

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This thesis is devoted to the theoretical and computational study of electron transport in molecular junctions where one or more hydrogen bonds are involved in the process. While electron transport through covalent bonds has been extensively studied, in recent work the focus has been shifted towards hydrogen-bonded systems due to their ubiquitous presence in biological systems and their potential in forming nano- junctions between molecular electronic devices and biological systems. This analysis allows us to significantly expand our comprehension of the experimentally observed result that the inclusion of hydrogen bonding in a molecular junction significantly impacts its transport properties, a fact that has important implications for our understanding of transport through DNA, and nano-biological interfaces in general. In part of this work I have explored the implications of quasiresonant transport in short chains of weakly-bonded molecular junctions involving hydrogen bonds. I used theoretical and computational analysis to interpret recent experiments and explain the role of Fano resonances in the transmission properties of the junction.In a different direction, I have undertaken the study of the transversal conduction through nucleotide chains that involve a variable number of different hydrogen bonds, e.g. NH...O, OH...O, and NH...N, which are the three most prevalent hydrogen bonds in biological systems and organic electronics. My effort here has fo- cused on the analysis of electronic descriptors that allow a simplified conceptual and computational understanding of transport properties. Specifically, I have expanded our previous work where the molecular polarizability was used as a conductance de- scriptor to include the possibility of atomic and bond partitions of the molecular polarizability. This is important because it affords an alternative molecular descrip- tion of conductance that is not based on the conventional view of molecular orbitals as transport channels. My findings suggest that the hydrogen-bond networks are crucial in understanding the conductance of these junctions. A broader impact of this work pertains the fact that characterizing transport through hydrogen bonding networks may help in developing faster and cost-effective approaches to personalized medicine, to advance DNA sequencing and implantable electronics, and to progress in the design and application of new drugs.

Hydrogen Bonding in Organic Synthesis

Hydrogen Bonding in Organic Synthesis PDF Author: Petri M. Pihko
Publisher: John Wiley & Sons
ISBN: 3527627855
Category : Science
Languages : en
Pages : 395

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Book Description
This first comprehensive overview of the rapidly growing field emphasizes the use of hydrogen bonding as a tool for organic synthesis, especially catalysis. As such, it covers such topics as enzyme chemistry, organocatalysis and total synthesis, all unified by the unique advantages of hydrogen bonding in the construction of complex molecules from simple precursors. Providing everything you need to know, this is a definite must for every synthetic chemist in academia and industry.

The Intergration of Computational and Spectroscopic Information for Hydrogen Bonded Systems

The Intergration of Computational and Spectroscopic Information for Hydrogen Bonded Systems PDF Author: Jason Mark Price
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Hydrogen Bonding and Transfer in the Excited State

Hydrogen Bonding and Transfer in the Excited State PDF Author: Ke-Li Han
Publisher: John Wiley & Sons
ISBN: 1119972922
Category : Science
Languages : en
Pages : 1229

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Book Description
This book gives an extensive description of the state-of-the-art in research on excited-state hydrogen bonding and hydrogen transfer in recent years. Initial chapters present both the experimental and theoretical investigations on the excited-state hydrogen bonding structures and dynamics of many organic and biological chromophores. Following this, several chapters describe the influences of the excited-state hydrogen bonding on various photophysical processes and photochemical reactions, for example: hydrogen bonding effects on fluorescence emission behaviors and photoisomerization; the role of hydrogen bonding in photosynthetic water splitting; photoinduced electron transfer and solvation dynamics in room temperature ionic liquids; and hydrogen bonding barrier crossing dynamics at bio-mimicking surfaces. Finally, the book examines experimental and theoretical studies on the nature and control of excited-state hydrogen transfer in various systems. Hydrogen Bonding and Transfer in the Excited State is an essential overview of this increasingly important field of study, surveying the entire field over 2 volumes, 40 chapters and 1200 pages. It will find a place on the bookshelves of researchers in photochemistry, photobiology, photophysics, physical chemistry and chemical physics.

The Integration of Computational and Spectroscopic Information for Hydrogen Bonded Systems

The Integration of Computational and Spectroscopic Information for Hydrogen Bonded Systems PDF Author: Jason Mark Price
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Development and Analysis of Computational Methods to Study Hydrogen Bonding in Molecular Clusters

Development and Analysis of Computational Methods to Study Hydrogen Bonding in Molecular Clusters PDF Author: Ryan J. DiRisio
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
Understanding the role of hydrogen bonding in the structure and dynamics of water is an ongoing challenge in physical chemistry. In particular, understanding how the quantum mechanical effects of molecular vibrations govern the structure and dynamics of water is of interest. The cornerstone method used to study this phenomenon in this work is Diffusion Monte Carlo (DMC), which can be used to obtain the ground state vibrational wave function of any arbitrary molecule or molecular cluster. Instead of attempting to model bulk water and its properties outright, small, gas-phase molecular and ionic clusters of water, which provide model systems to study hydrogen bonding and proton transfer, are studied. To begin, DMC will be reviewed, and PyVibDMC, an open source, general purpose Python DMC software package developed as part of this work, will be discussed. As DMC is rigorously a ground state method, extensions to the DMC approach are required to obtain information about excited states. With excited state information, one can then directly compare simulation to experiment through theoretical and experimental spectroscopy. As such, next, the Ground State Probability Amplitude (GSPA) approximation is presented, and it is applied to protonated water clusters. In the GSPA approach, excited state wave functions are approximated based on simple products of polynomials of vibrational displacements with the ground state DMC wave function. The power of this approach is that one can construct a small basis through which to comprehensively examine the vibrational state space of the chemical system of interest. Extensions to the GSPA approach that incorporate excited state mixing and improved descriptions of higher-order excited states states will be presented as well. These improvements lead to good agreement between the GSPA theoretical and gas-phase experimental vibrational spectra of H7O3+ and H9O4+. Using this rich theoretical approach, we are able to draw connections between the molecular vibrations and structures that govern proton transfer and experimental spectroscopy of the clusters. A methodological procedure is presented next, which is the incorporation of machine learning into the DMC workflow. A potential energy surface is required for DMC simulations. Performing on-the-fly, ab initio potential energy calculations of molecular configurations in DMC simulations for systems beyond a few atoms is computationally intractable. As such, fitted potential energy surfaces are often employed for DMC simulations. However, as systems of interest increase in size, even the evaluations of these fitted surfaces become computationally demanding. To this end, a workflow is developed to use the large amount of data obtained from a small-scale DMC simulation to train a neural network to learn the potential energy surface of interest. Neural network structure, choice of descriptor, and hyperparameter optimization are reviewed and discussed in the context of other machine learning methods, and training data collection strategies are discussed, including the need to sample regions of the potential energy surface that are beyond regions accessed by a typical DMC simulation. Once the neural network surface is trained, it is evaluated in an extremely fast and highly-parallel manner, making DMC simulations significantly more efficient for H2O, CH5+, and (H2O)2. In the final section, DMC is set aside, and an exploration of the correlation between the vibrational spectral signature of an individual water molecule with its surrounding chemical environment is discussed. Specifically, the frequency of a hydrogen-bonded OH stretch in a water dimer pair is correlated to the number of solvating water molecules surrounding it. A quantum mechanical model is constructed to quantify this correlation, and applications of the model to a sample water cluster show the causality between the change in quantum mechanical electron density in the hydrogen bonding region of a particular OH bond and its OH stretch frequency. The application of the quantum model formalizes and explains empirical trends and categorization approaches put forth in previous work to characterize hydrogen bonding environments. This model is then applied to the water network found in a Cs+(H2O)20 cluster, where these trends are again quantified and then related to both the first and second solvation shell of a hydrogen-bond donor/acceptor water pair within the larger network.