Spectroscopic Investigations of Hydrogen Bond Network Structures in Water Clusters

Spectroscopic Investigations of Hydrogen Bond Network Structures in Water Clusters

Author: Kenta Mizuse

Publisher: Springer Science & Business Media

Published: 2013-01-22

Total Pages: 187

ISBN-13: 4431543120

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The properties and nature of water clusters studied with novel spectroscopic approaches are presented in this thesis. Following a general introduction on the chemistry of water and water clusters, detailed descriptions of the experiments and analyses are given. All the experimental results, including first size-selective spectra of large clusters consisting of 200 water molecules, are presented with corresponding analyses. Hitherto unidentified hydrogen bond network structures, dynamics, and reactivity of various water clusters have been characterized at the molecular level. The main targets of this book are physical chemists and chemical physicists who are interested in water chemistry or cluster chemistry.


Visualization of Hydrogen-Bond Dynamics

Visualization of Hydrogen-Bond Dynamics

Author: Takashi Kumagai

Publisher: Springer Science & Business Media

Published: 2012-09-02

Total Pages: 139

ISBN-13: 443154156X

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The hydrogen bond represents an important interaction between molecules, and the dynamics of hydrogen bonds in water create an ever-present question associated with the process of chemical and biological reactions. In spite of numerous studies, the process remains poorly understood at the microscopic level because hydrogen-bond dynamics, such as bond rearrangements and hydrogen/proton transfer reactions, are extremely difficult to probe. Those studies have been carried out by means of spectroscopic methods where the signal stems from the ensemble of a system and the hydrogen-bond dynamics were inferred indirectly. This book addresses the direct imaging of hydrogen-bond dynamics within water-based model systems assembled on a metal surface, using a scanning tunneling microscope (STM). The dynamics of individual hydrogen bonds in water clusters, hydroxyl clusters, and water-hydroxyl complexes are investigated in conjunction with density functional theory. In these model systems, quantum dynamics of hydrogen bonds, such as tunneling and zero-point nuclear motion, are observed in real space. Most notably, hydrogen atom relay reactions, which are frequently invoked across many fields of chemistry, are visualized and controlled by STM. This work presents a means of studying hydrogen-bond dynamics at the single-molecule level, providing an important contribution to wide fields beyond surface chemistry.


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

Author: Ryan J. DiRisio

Publisher:

Published: 2022

Total Pages: 0

ISBN-13:

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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.


Hydrogen Bond Networks

Hydrogen Bond Networks

Author: M.C. Bellissent-Funel

Publisher: Springer Science & Business Media

Published: 2013-04-17

Total Pages: 564

ISBN-13: 9401583323

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The almost universal presence of water in our everyday lives and the very `common' nature of its presence and properties possibly deflects attention from the fact that it has a number of very unusual characteristics which, furthermore, are found to be extremely sensitive to physical parameters, chemical environment and other influences. Hydrogen-bonding effects, too, are not restricted to water, so it is necessary to investigate other systems as well, in order to understand the characteristics in a wider context. Hydrogen Bond Networks reflects the diversity and relevance of water in subjects ranging from the fundamentals of condensed matter physics, through aspects of chemical reactivity to structure and function in biological systems.


The Hydrogen Bond and the Water Molecule

The Hydrogen Bond and the Water Molecule

Author: Yves Marechal

Publisher: Elsevier

Published: 2006-12-11

Total Pages: 333

ISBN-13: 0080469299

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The Hydrogen Bond and the Water Molecule offers a synthesis of what is known and currently being researched on the topic of hydrogen bonds and water molecules. The most simple water molecular, H2O, is a fascinating but poorly understood molecule. Its unique ability to attract an exceptionally large number of hydrogen bonds induces the formation of a dense "hydrogen bond network" that has the potential to modify the properties of the surrounding molecules and their reactivities. The crucial role that water molecules play is described in this book. The author begins by providing an overview of the thermodynamical and structural properties of H-bonds before examining their much less known dynamical properties, which makes them appear as centres of reactivity. Methods used to observe these components are also reviewed. In the second part of the book the role played by the dense H-bond network developed by H2O molecules is examined. First in ice, where it has important atmospheric consequences, then in liquid water, and finally in macromolecules where it sheds some original light on the fundamental question "How is it that without water and hydrogen bonds life would not exist?". This book will be of interest to researchers in the fields of physics, chemistry, biochemistry and molecular biology. It can also serve as a teaching aid for students attending course in chemical physics, chemistry or molecular biology. Engineers involved the water industry would benefit from reading this book, as would scientists working in pharmaceutics, cosmetics and materials. * overview of what is known and being researched on the topic of hydrogen bonds and water molecules * reviews methods used to observe interactions between water molecules and hydrogen bonds * examines role of H-bond network developed by H2O molecules


Unravelling the Ultrafast Dynamics of Aqueous Hydrogen Bond Networks with 2D IR Vibrational Echo Spectroscopy

Unravelling the Ultrafast Dynamics of Aqueous Hydrogen Bond Networks with 2D IR Vibrational Echo Spectroscopy

Author: Rongfeng Yuan

Publisher:

Published: 2019

Total Pages:

ISBN-13:

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Water is one of the most important substances in the world. It is used in a wide range of technologies and is an essential ingredient in all living cells we know today. The structure of water molecule is simple, yet it can form extended and versatile hydrogen bond (HB) network. This ability gives water extraordinary properties, such as high boiling and melting point. At the same time, the hydrogen bond network is not static. The constant breaking and re-forming of hydrogen bond occurs on the picosecond timescale. This dynamic network facilitates many functions of water, including ions solvation, protein folding and electricity conduction. Understanding the structure and dynamics of these processes is therefore of great importance. Ultrafast infrared (IR) spectroscopies offer a great method for accessing the sub-picosecond to picoseconds dynamics while a system in an electronic ground state. During the past two decades, hydrogen bond dynamics has been investigated extensively using ultrafast IR spectroscopies. But many questions still exist such as the effect of ions and confinement on the hydrogen bonding dynamics and the relation between the anomalous proton diffusion in dilute solution and hydrogen bonding. In Chapter 3, we examined the nature of molecular anion hydrogen bonding. The CN stretch of selenocyanate anions (SeCN-) was used as the vibrational probe in heavy water D2O. We observed the non-Condon effect on the CN stretch whose transition dipole changes with the strength of hydrogen bonding with water. In addition, HB rearrangement dynamics reported by SeCN- is almost the same as was that of the OH stretch of HOD molecules. This result shows that this anion does not perturb the surrounding HB network significantly in the low salt concentration solution. This ionic perspective is important and complements the results using OD or OH stretch of HOD molecules, which can only probe the effect of ions in a high salt concentration condition. In Chapter 4, we used SeCN- as the probe to examine water dynamics in confinement, and I focused on the nano waterpool formed in reverse micelles. The water pool is surrounded by surfactants which are further solvated by organic hydrophobic solvents. For large reverse micelle whose diameter is larger than 4 nm, the water pool is usually divided into two regions: the core region where water dynamics is like that in pure water and the interface region where water dynamics is slowed significant due to the confinement. Here we used ultrafast IR spectroscopies to measure the orientational relaxation of SeCN-, which reflects its interaction with water molecules and how "rigid" the HB network is. Based on the comparison between linear IR decomposition and ultrafast anisotropy dynamics, we proposed a three-component model of water in large reverse micelles. The interface component should be further separated into two layers. One layer corresponds to water in contact with the surfactant head group and has very slow reorientation. The other layer corresponds to water molecules whose coordinating structure still resembles that of bulk but the dynamics is slowed down due to the perturbation from confinement. In Chapter 5 and 6, hydrogen bonding dynamics in concentrated salt and acid solutions were investigated. Through electrochemical method, it was found decades ago that proton has extraordinary ion mobility, about 6 times larger than that of cations of similar sizse, such as sodium, ammonium or lithium. The great difference between them results from the cation transport mechanism. In dilute solution, the main transport mechanism of proton is through relay mechanism where the identity of proton transfers from one water molecule to another. This minimizes the physical diffusion of the atoms and greatly increases the proton mobility. The mechanism is generally called Grotthuss mechanism, which was came up with by Grotthuss in 1806 though not on the molecular level. However, the step time of a single proton transfer event between two water molecules is difficult to observe experimentally. Here we used the CN stretch of methyl thiocyanate (MeSCN) as the vibrational probe. In concentrated hydrochloric solutions, it has two frequency resolved states. One state refers to water hydrogen bonded to the nitrogen lone pair while the other state corresponds to hydronium ion hydrogen bonded to the CN. Chemical exchange phenomenon was observed between these two states. Ab initio simulation done by our collaborator shows that the proton hopping is the dominate mechanism for chemical exchange. The comparison experiment done in lithium chloride solution provides further contrast between hydronium and other metal ions. Therefore, we were able to track proton hopping in a time-resolved manner for the first time. Extrapolation to the dilute limit demonstrates that the HB rearrangement in pure water is the driving force of proton hopping in dilute solution.