Analysis of neutral active particle loss in afterglow in krypton at 2.6mbar pressure

2008 ◽  
Vol 15 (1) ◽  
pp. 013502 ◽  
Author(s):  
Momcilo M. Pejovic ◽  
Jugoslav P. Karamarkovic ◽  
Goran S. Ristic ◽  
Milic M. Pejovic
Keyword(s):  
Active Particle ◽  
Particle Loss

scholarly journals A Photochemically Active Particle Derived from Chloroplasts by the Action of the Detergent Triton X-100

1966 ◽  
Vol 241 (17) ◽  
pp. 4101-4109
Author(s):  
Leo P. Vernon ◽  
Elwood R. Shaw ◽  
Bacon Ke
Keyword(s):  
Active Particle ◽  
Triton X

scholarly journals Interface growth driven by a single active particle

2019 ◽  
Vol 100 (5) ◽  
Author(s):  
Prachi Bisht ◽  
Mustansir Barma
Keyword(s):  
Active Particle ◽  
Interface Growth

scholarly journals Self-Motility of an Active Particle Induced by Correlations in the Surrounding Solution

2020 ◽  
Vol 125 (26) ◽  
Author(s):  
Alvaro Domínguez ◽  
M. N. Popescu ◽  
C. M. Rohwer ◽  
S. Dietrich
Keyword(s):  
Active Particle

scholarly journals Nonequilibrium mode-coupling theory for dense active systems of self-propelled particles

Soft Matter ◽  
2017 ◽  
Vol 13 (41) ◽  
pp. 7609-7616 ◽  
Author(s):  
Saroj Kumar Nandi ◽  
Nir S. Gov
Keyword(s):  
Liquid State ◽  
Mode Coupling ◽  
Statistical Physics ◽  
Active Particle ◽  
Scaling Relations ◽  
Coupling Theory ◽  
Mode Coupling Theory ◽  
Current Interest ◽  
Active Systems ◽  
Dense Liquid

The physics of active systems of self-propelled particles, in the regime of a dense liquid state, is an open puzzle of great current interest, both for statistical physics and because such systems appear in many biological contexts. We obtain a nonequilibrium mode-coupling theory for such systems and present analytical scaling relations through mapping with a simpler model of a single trapped active particle.

Active Particle Diffusion in Convection Roll Arrays

2021 ◽  
Author(s):  
Pulak Kumar Ghosh ◽  
Fabio Marchesoni ◽  
Yunyun Li ◽  
Franco Nori
Keyword(s):  
Active Particle ◽  
Particle Diffusion ◽  
Active Matter ◽  
Active Particles ◽  
Convection Roll ◽  
Small Scales

Undesired advection effects are unavoidable in most nano-technological applications involving active matter. However, it is conceivable to govern the transport of active particles at the small scales by suitably tuning...

scholarly journals Anomalous mobility of a driven active particle in a steady laminar flow

2018 ◽  
Vol 30 (26) ◽  
pp. 264002 ◽  
Author(s):  
F Cecconi ◽  
A Puglisi ◽  
A Sarracino ◽  
A Vulpiani
Keyword(s):  
Laminar Flow ◽  
Active Particle ◽  
Steady Laminar

Particle anisotropy tunes emergent behavior in active colloidal systems

Soft Matter ◽  
2022 ◽  
Author(s):  
Shannon E. Moran ◽  
Isaac R. Bruss ◽  
Philip Shoenhofer ◽  
Sharon C Glotzer
Keyword(s):  
Collective Behavior ◽  
Particle Systems ◽  
Emergent Behavior ◽  
Active Particle ◽  
Colloidal Systems ◽  
Particle Anisotropy

Studies of active particle systems have demonstrated that particle anisotropy can impact the collective behavior of a system. However, systems studied to date have served as one-off demonstrations of concept,...

scholarly journals Accelerated methods for direct computation of fusion alpha particle losses within, stellarator optimization

2020 ◽  
Vol 86 (2) ◽  
Author(s):  
Christopher G. Albert ◽  
Sergei V. Kasilov ◽  
Winfried Kernbichler
Keyword(s):  
Alpha Particle ◽  
Symplectic Integrators ◽  
Particle Loss ◽  
Early Classification ◽  
Statistical Computation ◽  
Computational Speed ◽  
Order Of Magnitude ◽  
Speed Up ◽  
Orbit Types ◽  
Optimization Loop

Accelerated statistical computation of collisionless fusion alpha particle losses in stellarator configurations is presented based on direct guiding-centre orbit tracing. The approach relies on the combination of recently developed symplectic integrators in canonicalized magnetic flux coordinates and early classification into regular and chaotic orbit types. Only chaotic orbits have to be traced up to the end, as their behaviour is unpredictable. An implementation of this technique is provided in the code SIMPLE (symplectic integration methods for particle loss estimation, Albert et al., 2020b, doi:10.5281/zenodo.3666820). Reliable results were obtained for an ensemble of 1000 orbits in a quasi-isodynamic, a quasi-helical and a quasi-axisymmetric configuration. Overall, a computational speed up of approximately one order of magnitude is achieved compared to direct integration via adaptive Runge–Kutta methods. This reduces run times to the range of typical magnetic equilibrium computations and makes direct alpha particle loss computation adequate for use within a stellarator optimization loop.

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