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Related papers: Electrostatic correlations: from Plasma to Biology

200 papers

Equilibrating gravitation by electric forces, microparticles can be confined in the plasma sheath above suitably biased local electrodes.Their position depends on the detailed structure of the plasma sheath and on the charge that the…

Plasma Physics · Physics 2010-10-15 G. Schubert , R. Basner , H. Kersten , H. Fehske

Electrostatic cooling is known to occur in conductors and in porous electrodes in contact with aqueous electrolytes. Here we present for the first time evidence of electrostatic cooling at the junction of two electrolyte phases. These are,…

Chemical Physics · Physics 2019-12-24 S. Porada , H. V. M. Hamelers , P. M. Biesheuvel

Electrostatic interactions involving proteins depend not just on the ionic charges involved but also on their chemical identities. Here we examine the origins of incompletely understood differences in the strength of association of…

Chemical Physics · Physics 2023-08-15 Chase E. Herman , Arjun Valiya Parambathu , D. N. Asthagiri , Abraham M. Lenhoff

Computer simulations are used to investigate the response of a charged colloid and its surrounding microion cloud to an external electric field. Both static fields (DC) and alternating fields (AC) are considered. A mesoscopic simulation…

Soft Condensed Matter · Physics 2013-07-19 Jiajia Zhou , Roman Schmitz , Burkard Duenweg , Friederike Schmid

Electrostatically charged aerosol nanoparticles strongly attract surrounding polar gas molecules due to a charge-dipole interaction. In humid air, the substantial electrostatic attraction and acceleration of surrounding water vapour…

Plasma Physics · Physics 2010-08-03 Oleg Meshcheryakov

Entanglement is nowadays considered as a key quantity for the understanding of correlations, transport properties, and phase transitions in composite quantum systems, and thus receives interest beyond the engineered applications in the…

Quantum Physics · Physics 2011-10-06 Malte C. Tichy , Florian Mintert , Andreas Buchleitner

The electromagnetic instabilities excited by the temperature anisotropy have been always one of the interesting issues in real high-density physical systems, where the relativistic and quantum effects due to spin can be important. This…

Plasma Physics · Physics 2017-11-21 M. Mahdavi , H. Khanzadeh

The quality of biomolecular simulations critically depends on the accuracy of the force field used to calculate the potential energy of the molecular configurations. Currently, most simulations employ non-polarisable force fields, which…

Biological Physics · Physics 2020-02-11 V. S. Sandeep Inakollu , Daan P. Geerke , Christopher N. Rowley , Haibo Yu

Electron evaporation plays an important role in the electron temperature evolution and thus expansion rate in low-density ultracold plasmas. In addition, evaporation is useful as a potential tool for obtaining colder electron temperatures…

Plasma Physics · Physics 2017-06-07 Craig Witte , Jacob L. Roberts

Multi-dimensional particle-in-cell simulations are used to study the generation of electrostatic shocks in plasma and the reflection of background ions to produce high-quality and high-energy ion beams. Electrostatic shocks are driven by…

The kinetic theory of collisionless electrostatic shocks resulting from the collision of plasma slabs with different temperatures and densities is presented. The theoretical results are confirmed by self-consistent particle-in-cell…

Plasma Physics · Physics 2009-11-11 G. Sorasio , M. Marti , R. Fonseca , L. O. Silva

We construct the model of a long lived plasma structure based on spherically symmetric oscillations of electrons in plasma. Oscillations of electrons are studied in frames of both classical and quantum approaches. We obtain the density…

Plasma Physics · Physics 2010-10-07 Maxim Dvornikov

The covariant, spin-dependent response tensor for an electric dipole moment polarized electron gas (statistical distribution of electrons and positrons) is calculated using the formalism of quantum plasmadynamics. A simultaneous…

High Energy Physics - Theory · Physics 2025-03-24 Victor. M. Demcsak , Donald. B. Melrose

We numerically study models of $\mathrm{H}_2$ and $\mathrm{LiH}$ molecules, aligned collinearly with the linear polarization of the external field, to elucidate the possible role of correlation in the enhanced-ionization phenomena.…

Atomic Physics · Physics 2016-01-06 S. Chattopadhyay , S. Bauch , L. B. Madsen

We study the effect of dielectric inhomogeneities on the interaction between two planparallel charged surfaces with oppositely charged mobile charges in between. The dielectric constant between the surfaces is assumed to be different from…

Soft Condensed Matter · Physics 2011-07-21 M. Kanduc , R. Podgornik

Modeling ion correlations in inhomogeneous polymers and soft matters with spatially varying ionic strength or dielectric permittivity remains a great challenge. Here, we develop a new theory which systematically incorporates electrostatic…

Soft Condensed Matter · Physics 2024-07-01 Chao Duan , Nikhil R. Agrawal , Rui Wang

Protein electrostatic states have been demonstrated to play crucial roles in catalysis, ligand binding, protein stability, and in the modulation of allosteric effects. Electrostatic states are demonstrated to appear conserved among DEAD-box…

Biomolecules · Quantitative Biology 2008-10-13 Christopher M. Frenz

In a classical ideal plasma, a magnetic field is known to reduce the heat conductivity perpendicular to the field whereas it does not alter the one along the field. Here we show that, in strongly correlated plasmas that are observed at high…

Plasma Physics · Physics 2015-12-16 Torben Ott , Michael Bonitz , Zoltan Donko

Two-dimensional interacting electron systems become strongly correlated if the electrons are subject to a perpendicular high magnetic field. After introducing the physics of the quantum Hall regime the incompressible many- particle ground…

Mesoscale and Nanoscale Physics · Physics 2016-07-27 Marcus Kasner

The inclusion of long-range electrostatics in atomistic machine learning (ML) is receiving increasing attention for achieving quantum-mechanical accuracy in predicting a wide range of molecular and material properties. However, there is…

Materials Science · Physics 2026-02-12 Federico Grasselli , Kevin Rossi , Stefano de Gironcoli , Andrea Grisafi