Search results for "physics.chem-ph"

showing 10 items of 359 documents

Nitrogen-Vacancy Magnetometry of Individual Fe-Triazole Spin Crossover Nanorods

2023

[Fe(Htrz)2(trz)](BF4) (Fe-triazole) spin crossover molecules show thermal, electrical, and optical switching between high spin (HS) and low spin (LS) states, making them promising candidates for molecular spintronics. The LS and HS transitions originate from the electronic configurations of Fe(II), and are considered to be diamagnetic and paramagnetic respectively. The Fe(II) LS state has six paired electrons in the ground states with no interaction with the magnetic field and a diamagnetic behavior is usually observed. While the bulk magnetic properties of Fe-triazole compounds are widely studied by standard magnetometry techniques their properties at the individual level are missing. Here…

Chemical Physics (physics.chem-ph)Quantum PhysicsCondensed Matter - Mesoscale and Nanoscale PhysicsPhysics - Chemical PhysicsMesoscale and Nanoscale Physics (cond-mat.mes-hall)General EngineeringFOS: Physical sciencesGeneral Physics and AstronomyGeneral Materials ScienceQuantum Physics (quant-ph)ACS Nano
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Algorithmic Cooling of Nuclear Spin Pairs using a Long-Lived Singlet State

2019

Algorithmic cooling methods manipulate an open quantum system in order to lower its temperature below that of the environment. We show that significant cooling is achieved on an ensemble of spin-pair systems by exploiting the long-lived nuclear singlet state, which is an antisymmetric quantum superposition of the "up" and "down" qubit states. The effect is demonstrated by nuclear magnetic resonance (NMR) experiments on a molecular system containing a coupled pair of near-equivalent 13C nuclei. The populations of the system are subjected to a repeating sequence of cyclic permutations separated by relaxation intervals. The long-lived nuclear singlet order is pumped well beyond the unitary lim…

Chemical Physics (physics.chem-ph)Quantum PhysicsPhysics - Chemical PhysicsFOS: Physical sciencesApplied Physics (physics.app-ph)Physics - Applied PhysicsQuantum Physics (quant-ph)
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Theory for polaritonic quantum tunneling

2022

I investigate the tunneling decay rate of a polaritonic system formed by a strong coupling between a vacuum cavity mode and $N$ metastable systems. Using a simple model potential, I find the instanton solutions controlling the low-temperature tunneling rate. The resulting rate modification due to the cavity is proportional to the mean of the second power of the light-matter coupling. No collective effect that would enhance the rates by a factor of $\sqrt{N}$ is present, which is in line with the results in the thermal activation regime.

Chemical Physics (physics.chem-ph)Quantum PhysicsPhysics - Chemical PhysicsFOS: Physical scienceskvanttimekaniikkaQuantum Physics (quant-ph)kvanttifysiikkapolaritonit
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The evolution and revival structure of angular momentum quantum wave packets (Tutorial)

1999

In this paper a coherent superposition of angular momentum states created by absorption of polarized light by molecules is analyzed. Attention is paid to the time evolution of wave packets representing spatial orientation of internuclear axis of diatomic molecule. Two examples are considered in detail. Molecules absorbing light in a permanent magnetic field experiencing Zeeman effect and molecules absorbing light in a permanent electric field experiencing quadratic Stark effect. In a magnetic field we have a wave packet that evolves in time exactly as classical dipole oscillator in a permanent magnetic field. In the second case we have the wave packet that goes through periodical changes of…

Chemical Physics (physics.chem-ph)Quantum PhysicsPhysics Education (physics.ed-ph)Physics - Chemical PhysicsPhysics - Physics EducationFOS: Physical sciencesQuantum Physics (quant-ph)
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Cavity-induced bifurcation in classical rate theory

2022

We show how coupling an ensemble of bistable systems to a common cavity field affects the collective stochastic behavior of this ensemble. In particular, the cavity provides an effective interaction between the systems, and parametrically modifies the transition rates between the metastable states. We predict that the cavity induces a collective phase transition at a critical temperature which depends linearly on the number of systems. It shows up as a spontaneous symmetry breaking where the stationary states of the bistable system bifurcate. We observe that the transition rates slow down independently of the phase transition, but the rate modification vanishes for alternating signs of the …

Chemical Physics (physics.chem-ph)Quantum PhysicsStatistical Mechanics (cond-mat.stat-mech)Physics - Chemical PhysicsFOS: Physical sciencesPhysics::OpticsQuantum Physics (quant-ph)Condensed Matter - Statistical Mechanics
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Geometry of Degeneracy in Potential and Density Space

2022

In a previous work [J. Chem. Phys. 155, 244111 (2021)], we found counterexamples to the fundamental Hohenberg-Kohn theorem from density-functional theory in finite-lattice systems represented by graphs. Here, we demonstrate that this only occurs at very peculiar and rare densities, those where density sets arising from degenerate ground states, called degeneracy regions, touch each other or the boundary of the whole density domain. Degeneracy regions are shown to generally be in the shape of the convex hull of an algebraic variety, even in the continuum setting. The geometry arising between density regions and the potentials that create them is analyzed and explained with examples that, amo…

Chemical Physics (physics.chem-ph)Quantum Physicschemical physicsPhysics and Astronomy (miscellaneous)FOS: Physical sciencesmatemaattinen fysiikkaMathematical Physics (math-ph)Atomic and Molecular Physics and Opticsmathematical physicsquantum physicsPhysics - Chemical PhysicskvanttifysiikkaQuantum Physics (quant-ph)Mathematical Physics
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Density-Functional Theory on Graphs

2021

The principles of density-functional theory are studied for finite lattice systems represented by graphs. Surprisingly, the fundamental Hohenberg–Kohn theorem is found void, in general, while many insights into the topological structure of the density-potential mapping can be won. We give precise conditions for a ground state to be uniquely v-representable and are able to prove that this property holds for almost all densities. A set of examples illustrates the theory and demonstrates the non-convexity of the pure-state constrained-search functional. peerReviewed

Chemical Physics (physics.chem-ph)Quantum PhysicstiheysfunktionaaliteoriaGeneral Physics and AstronomyFOS: Physical sciences02 engineering and technologyMathematical Physics (math-ph)021001 nanoscience & nanotechnology01 natural sciencesPhysics - Chemical Physics0103 physical scienceskvanttimekaniikkaPhysical and Theoretical Chemistry010306 general physics0210 nano-technologyQuantum Physics (quant-ph)Mathematical Physics
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Recent achievements in ab initio modelling of liquid water

2013

The application of newly developed first-principle modeling techniques to liquid water deepens our understanding of the microscopic origins of its unusual macroscopic properties and behaviour. Here, we review two novel ab initio computational methods: second-generation Car-Parrinello molecular dynamics and decomposition analysis based on absolutely localized molecular orbitals. We show that these two methods in combination not only enable ab initio molecular dynamics simulations on previously inaccessible time and length scales, but also provide unprecedented insights into the nature of hydrogen bonding between water molecules. We discuss recent applications of these methods to water cluste…

Chemical Physics (physics.chem-ph)Statistical Mechanics (cond-mat.stat-mech)Biological Physics (physics.bio-ph)Physics - Chemical PhysicsSoft Condensed Matter (cond-mat.soft)FOS: Physical sciencesPhysics - Biological PhysicsComputational Physics (physics.comp-ph)Condensed Matter - Soft Condensed MatterPhysics - Computational PhysicsCondensed Matter - Statistical Mechanics
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Levy flights in confining environments: Random paths and their statistics

2013

We analyze a specific class of random systems that are driven by a symmetric L\'{e}vy stable noise. In view of the L\'{e}vy noise sensitivity to the confining "potential landscape" where jumps take place (in other words, to environmental inhomogeneities), the pertinent random motion asymptotically sets down at the Boltzmann-type equilibrium, represented by a probability density function (pdf) $\rho_*(x) \sim \exp [-\Phi (x)]$. Since there is no Langevin representation of the dynamics in question, our main goal here is to establish the appropriate path-wise description of the underlying jump-type process and next infer the $\rho (x,t)$ dynamics directly from the random paths statistics. A pr…

Chemical Physics (physics.chem-ph)Statistics and ProbabilityPhysicsStatistical Mechanics (cond-mat.stat-mech)LogarithmFOS: Physical sciencesProbability density functionContext (language use)Mathematical Physics (math-ph)Function (mathematics)Condensed Matter PhysicsStability (probability)Lévy flightPhysics - Chemical PhysicsPhysics - Data Analysis Statistics and ProbabilityStatisticsMaster equationInvariant (mathematics)Data Analysis Statistics and Probability (physics.data-an)Condensed Matter - Statistical MechanicsMathematical Physics
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Adversarial reverse mapping of equilibrated condensed-phase molecular structures

2020

A tight and consistent link between resolutions is crucial to further expand the impact of multiscale modeling for complex materials. We herein tackle the generation of condensed molecular structures as a refinement -- backmapping -- of a coarse-grained structure. Traditional schemes start from a rough coarse-to-fine mapping and perform further energy minimization and molecular dynamics simulations to equilibrate the system. In this study we introduce DeepBackmap: A deep neural network based approach to directly predict equilibrated molecular structures for condensed-phase systems. We use generative adversarial networks to learn the Boltzmann distribution from training data and realize reve…

Chemical Physics (physics.chem-ph)Structure (mathematical logic)Artificial neural networkComputer sciencePhase (waves)FOS: Physical sciencesLink (geometry)Condensed Matter - Soft Condensed MatterComputational Physics (physics.comp-ph)Energy minimizationMultiscale modelingBoltzmann distributionHuman-Computer InteractionMolecular dynamicsArtificial IntelligencePhysics - Chemical PhysicsSoft Condensed Matter (cond-mat.soft)Physics - Computational PhysicsAlgorithmSoftwareMachine Learning: Science and Technology
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