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126:: Electrolyte solutions, which contain dissolved ions, and ionic liquids, which are essentially molten salts at room temperature, are important systems for studying ion networks. Researchers have investigated the structure and dynamics of ion networks in these systems using a variety of experimental and theoretical techniques.
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have been applied to quantitatively study morphological characteristics of these structural patterns including ion networks. In this approach, the aggregate structures taken from MD trajectories are treated as mathematical structures called graphs, and their properties, such as graph spectrum, degree
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The study of ion networks and their implications in solution chemistry is an active and interdisciplinary field that has attracted attention from researchers across various disciplines, including chemistry, physics, materials science, and biology. Here are some key research subjects and activities in
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Overall, the concept of an ion network highlights the complex and dynamic interactions between ions and solvent molecules in solution, and its understanding is crucial for elucidating the behavior of electrolyte solutions in various contexts, ranging from biological systems to industrial processes,
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and coworkers in 2014. The notion of extended ion aggregates in electrolyte solutions, however, can be found in an earlier report. The ion network is particularly relevant in high-salt solutions where ions can aggregate and interact strongly and it has been investigated in an increasing number of
162:: The Hofmeister effect refers to the phenomenon where the addition of specific ions to a solution can significantly alter the solubility, stability, and other properties of solutes. Understanding the Hofmeister effect is essential for elucidating the role of ion networks in solution chemistry.
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ion networks can significantly affect the surrounding solvent molecules, particularly the water hydrogen-bonding networks in aqueous solutions that become intertwined with morphologically complementary ion networks. The presence of ion networks can disrupt the hydrogen-bonding network of water
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distribution, clustering coefficient, minimum path length, and graph entropy, are calculated and analyzed. For example, this approach has been used to identify two morphologically different ion aggregates, namely localized clusters and extended networks, in high-salt solutions of the
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Soft Matter
Physics: Ion networks in solution are also of interest in the field of soft matter physics, where researchers study the behavior of complex fluids and materials. Understanding the structure and dynamics of ion networks is crucial for designing new materials with tailored
134:: Molecular dynamics simulations play a crucial role in understanding ion networks at the molecular level. By simulating the behavior of individual ions and solvent molecules over time, researchers can explore the formation, structure, and dynamics of ion networks in solution.
801:
Borodin, Oleg; Suo, Liumin; Gobet, Mallory; Ren, Xiaoming; Wang, Fei; Faraone, Antonio; Peng, Jing; Olguin, Marco; Schroeder, Marshall; Ding, Michael S.; Gobrogge, Eric; von Wald Cresce, Arthur; Munoz, Stephen; Dura, Joseph A.; Greenbaum, Steve (2017-10-24).
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molecules, altering the structure and properties of the solution. This disruption in water structure may have implications for various phenomena, including solvation dynamics, ion transport, and chemical reactions occurring in the solution.
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In high-salt solutions, ions can form clusters or aggregates due to their electrostatic interactions. These aggregates may further organize into spatially more extensive networks, where ions are connected through
49:
432:
Graham, Trent R.; Semrouni, David; Mamontov, Eugene; Ramirez-Cuesta, Anibal J.; Page, Katharine; Clark, Aurora; Schenter, Gregory K.; Pearce, Carolyn I.; Stack, Andrew G.; Wang, Hsiu-Wen (2018-12-20).
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are commonly used to study ion networks in solution. These techniques provide valuable information about the structure, composition, and dynamics of ion networks.
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630:"Ion aggregation in high salt solutions. IV. Graph-theoretical analyses of ion aggregate structure and water hydrogen bonding network"
316:"Ion aggregation in high salt solutions. II. Spectral graph analysis of water hydrogen-bonding network and ion aggregate structures"
690:"Ion aggregation in high salt solutions. V. Graph entropy analyses of ion aggregate structure and water hydrogen bonding network"
904:
Kim, Jungyu; Koo, Bonhyeop; Lim, Joonhyung; Jeon, Jonggu; Lim, Chaiho; Lee, Hochun; Kwak, Kyungwon; Cho, Minhaeng (2022-01-14).
434:"Coupled Multimodal Dynamics of Hydrogen-Containing Ion Networks in Water-Deficient, Sodium Hydroxide-Aluminate Solutions"
39:
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Yu, Deyang; Troya, Diego; Korovich, Andrew G.; Bostwick, Joshua E.; Colby, Ralph H.; Madsen, Louis A. (2023-04-14).
262:"Nanometer-Scale Ion Aggregates in Aqueous Electrolyte Solutions: Guanidinium Sulfate and Guanidinium Thiocyanate"
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is an interconnected network or structure composed of ions in a solution. The term "ion network" was coined by
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McEldrew, Michael; Goodwin, Zachary A. H.; Bi, Sheng; Kornyshev, Alexei A.; Bazant, Martin Z. (2021-05-01).
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151:
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Lim, Joonhyung; Park, Kwanghee; Lee, Hochan; Kim, Jungyu; Kwak, Kyungwon; Cho, Minhaeng (2018-11-21).
906:"Dynamic Water Promotes Lithium-Ion Transport in Superconcentrated and Eutectic Aqueous Electrolytes"
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GarcĂa-Domenech, RamĂłn; Gálvez, Jorge; de Julián-Ortiz, Jesus V.; Pogliani, Lionello (2008-03-01).
804:"Liquid Structure with Nano-Heterogeneity Promotes Cationic Transport in Concentrated Electrolytes"
748:"Ion aggregation in high salt solutions. VI. Spectral graph analysis of chaotropic ion aggregates"
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Analysis: Ions often self-assemble into large and polydisperse aggregates in solution.
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851:"Nanometric Water Channels in Water-in-Salt Lithium Ion Battery Electrolyte"
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Mason, P. E.; Dempsey, C. E.; Neilson, G. W.; Brady, J. W. (2005-12-01).
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Choi, Jun-Ho; Lee, Hochan; Choi, Hyung Ran; Cho, Minhaeng (2018-04-20).
207:"Ion aggregation in high salt solutions: Ion network versus ion cluster"
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Kim, Seongheun; Kim, Heejae; Choi, Jun-Ho; Cho, Minhaeng (2014-09-28).
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568:"Uncorrelated Lithium-Ion Hopping in a Dynamic Solvent–Anion Network"
376:"Graph Theory and Ion and Molecular Aggregation in Aqueous Solutions"
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500:"Ion Clusters and Networks in Water-in-Salt Electrolytes"
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90:and possibly other types of interactions, such as
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945:"Some New Trends in Chemical Graph Theory"
746:Choi, Jun-Ho; Cho, Minhaeng (2016-11-07).
688:Choi, Jun-Ho; Cho, Minhaeng (2016-05-28).
628:Choi, Jun-Ho; Cho, Minhaeng (2015-09-14).
314:Choi, Jun-Ho; Cho, Minhaeng (2014-10-21).
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855:Journal of the American Chemical Society
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504:Journal of the Electrochemical Society
400:10.1146/annurev-physchem-050317-020915
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438:The Journal of Physical Chemistry B
380:Annual Review of Physical Chemistry
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132:Molecular Dynamics (MD) Simulations
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142:: Experimental techniques such as
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634:The Journal of Chemical Physics
320:The Journal of Chemical Physics
211:The Journal of Chemical Physics
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82:research and review articles.
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922:10.1021/acsenergylett.1c02012
584:10.1021/acsenergylett.3c00454
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178:Graph-theoretical approaches
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16:Ionic structure in solution
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148:nuclear magnetic resonance
183:Hofmeister series of ions
534:10.1149/1945-7111/abf975
450:10.1021/acs.jpcb.8b09375
150:(NMR) spectroscopy, and
140:Spectroscopic Techniques
820:10.1021/acsnano.7b05664
38:, as no other articles
144:infrared spectroscopy
867:10.1021/jacs.8b07696
88:electrostatic forces
861:(46): 15661–15667.
814:(10): 10462–10471.
764:2016JChPh.145q4501C
706:2016JChPh.144t4126C
646:2015JChPh.143j4110C
526:2021JElS..168e0514M
444:(50): 12097–12106.
392:2018ARPC...69..125C
332:2014JChPh.141o4502C
272:(50): 24185–24196.
223:2014JChPh.141l4510K
910:ACS Energy Letters
572:ACS Energy Letters
57:for suggestions.
47:to this page from
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160:Hofmeister Effect
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168:properties.
120:Electrolyte
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75:ion network
990:Categories
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190:References
62:April 2024
53:; try the
40:link to it
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930:2380-8195
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875:0002-7863
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780:0021-9606
722:0021-9606
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458:1520-6106
408:0066-426X
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239:0021-9606
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808:ACS Nano
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110:Research
1001:Liquids
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