What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Ion
- Electron
Benjamin Rotenberg focuses on Molecular dynamics, Electrolyte, Chemical physics, Supercapacitor and Electrode.
His Molecular dynamics research is multidisciplinary, incorporating perspectives in Dipole, Montmorillonite and Thermodynamics.
His study looks at the intersection of Chemical physics and topics like Ion with Kinetics and Quadrupole.
His Supercapacitor research is multidisciplinary, relying on both Solvation and Nanotechnology.
His Nanotechnology study combines topics in areas such as Carbon, Electrochemistry and Adsorption.
His studies examine the connections between Electrochemistry and genetics, as well as such issues in Nanometre, with regards to Microporous material.
His most cited work include:
- Efficient storage mechanisms for building better supercapacitors (857 citations)
- On the molecular origin of supercapacitance in nanoporous carbon electrodes (636 citations)
- On the molecular origin of supercapacitance in nanoporous carbon electrodes (636 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Molecular dynamics, Chemical physics, Electrolyte, Ion and Statistical physics.
The study incorporates disciplines such as Dipole, Charge density, Porous medium and Thermodynamics in addition to Molecular dynamics.
His Electrolyte study incorporates themes from Supercapacitor, Electrochemistry and Capacitance.
His work in Supercapacitor addresses subjects such as Carbon, which are connected to disciplines such as Microporous material.
His biological study deals with issues like Aqueous solution, which deal with fields such as Lithium.
Benjamin Rotenberg works mostly in the field of Electrode, limiting it down to topics relating to Nanotechnology and, in certain cases, Adsorption.
He most often published in these fields:
- Molecular dynamics (44.28%)
- Chemical physics (36.82%)
- Electrolyte (44.78%)
What were the highlights of his more recent work (between 2019-2021)?
- Electrolyte (44.78%)
- Statistical physics (27.36%)
- Molecular dynamics (44.28%)
In recent papers he was focusing on the following fields of study:
Benjamin Rotenberg spends much of his time researching Electrolyte, Statistical physics, Molecular dynamics, Electrode and Electrochemistry.
He performs integrative study on Electrolyte and Population in his works.
His research in Molecular dynamics intersects with topics in Charge density, Electric potential, Perturbation, Potential gradient and Ionic bonding.
The Electrode study combines topics in areas such as Statistical mechanics, Thermal fluctuations, Nanotechnology and Capacitor.
His research integrates issues of Bound water, Electrostatics, Precipitation and Dissolution in his study of Electrochemistry.
Benjamin Rotenberg works mostly in the field of Electrocatalyst, limiting it down to topics relating to Quantum chemistry and, in certain cases, Chemical physics, as a part of the same area of interest.
Between 2019 and 2021, his most popular works were:
- Correlation Length in Concentrated Electrolytes: Insights from All-Atom Molecular Dynamics Simulations (17 citations)
- Charge fluctuations from molecular simulations in the constant-potential ensemble. (15 citations)
- Charge fluctuations from molecular simulations in the constant-potential ensemble. (15 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Electron
- Ion
The scientist’s investigation covers issues in Electrolyte, Electrochemistry, Molecular dynamics, Population and Cathodic protection.
His Electrolyte research is within the category of Electrode.
His work on Differential capacitance as part of general Electrode study is frequently linked to Inverse, therefore connecting diverse disciplines of science.
His biological study spans a wide range of topics, including Dimethoxyethane, Thermodynamics, Ionic bonding, Debye and Lithium.
His Molecular dynamics study integrates concerns from other disciplines, such as Computation, Residual and Computational science.
His Statistical physics research integrates issues from Ab initio and Bin.
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