What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Electron
- Condensed matter physics
David M. Ceperley spends much of his time researching Quantum Monte Carlo, Condensed matter physics, Quantum mechanics, Ground state and Dynamic Monte Carlo method.
His work carried out in the field of Quantum Monte Carlo brings together such families of science as Schrödinger equation, Periodic boundary conditions, Diffusion Monte Carlo, Thermodynamics and Electronic structure.
His Condensed matter physics research is multidisciplinary, incorporating perspectives in Boson, Path integral formulation and Atomic physics.
His Atomic physics research incorporates elements of Electron, Fermi gas, Structure factor, Energy and Kinetic energy.
His study in Ground state is interdisciplinary in nature, drawing from both Fermion, Wigner crystal and Density functional theory.
His Dynamic Monte Carlo method study combines topics from a wide range of disciplines, such as Function, Statistical physics, Monte Carlo molecular modeling and Many-body problem.
His most cited work include:
- Ground state of the electron gas by a stochastic method (9277 citations)
- Path integrals in the theory of condensed helium (1577 citations)
- Fixed-node quantum Monte Carlo for molecules (752 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Quantum Monte Carlo, Statistical physics, Condensed matter physics, Dynamic Monte Carlo method and Path integral Monte Carlo.
His Quantum Monte Carlo research incorporates themes from Quantum mechanics, Wave function, Ground state, Diffusion Monte Carlo and Molecular physics.
His research in Quantum mechanics is mostly concerned with Fermion.
His work deals with themes such as Quantum, Variational Monte Carlo and Computational physics, which intersect with Statistical physics.
David M. Ceperley has researched Condensed matter physics in several fields, including Helium, Atomic physics and Electron, Fermi gas.
The various areas that he examines in his Dynamic Monte Carlo method study include Monte Carlo method in statistical physics, Hybrid Monte Carlo and Monte Carlo molecular modeling.
He most often published in these fields:
- Quantum Monte Carlo (36.29%)
- Statistical physics (25.95%)
- Condensed matter physics (24.68%)
What were the highlights of his more recent work (between 2012-2021)?
- Quantum Monte Carlo (36.29%)
- Nanotechnology (10.34%)
- Nanophotonics (9.70%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Quantum Monte Carlo, Nanotechnology, Nanophotonics, Nanoelectronics and Nanoelectromechanical systems.
His Quantum Monte Carlo study combines topics in areas such as Computational physics, Wave function, Statistical physics, Dynamic Monte Carlo method and Condensed matter physics.
As a part of the same scientific family, David M. Ceperley mostly works in the field of Dynamic Monte Carlo method, focusing on Hybrid Monte Carlo and, on occasion, Monte Carlo molecular modeling.
Condensed matter physics and Phase are commonly linked in his work.
His Diffusion Monte Carlo research focuses on subjects like Ionization energy, which are linked to Electron.
The Density functional theory study combines topics in areas such as GW approximation and Ground state.
Between 2012 and 2021, his most popular works were:
- Path-Integral Monte Carlo Simulation of the Warm Dense Homogeneous Electron Gas (139 citations)
- Towards the solution of the many-electron problem in real materials: equation of state of the hydrogen chain with state-of-the-art many-body methods (137 citations)
- Nuclear quantum effects and nonlocal exchange-correlation functionals applied to liquid hydrogen at high pressure. (113 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Electron
- Condensed matter physics
His scientific interests lie mostly in Quantum Monte Carlo, Statistical physics, Condensed matter physics, Quantum mechanics and Electron.
His research in Quantum Monte Carlo intersects with topics in Computational physics, Wave function, Diffusion Monte Carlo, Hybrid Monte Carlo and Density functional theory.
The study incorporates disciplines such as Monte Carlo molecular modeling and Dynamic Monte Carlo method in addition to Hybrid Monte Carlo.
His biological study spans a wide range of topics, including Field, Helium, Path integral Monte Carlo and Benchmark.
His research ties Phase and Condensed matter physics together.
In his study, Molecular physics, Hydrogen, Atomic physics, Phase transition and Thermal fluctuations is inextricably linked to Ion, which falls within the broad field of Electron.
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