29 citations · 78 across the 15 of their papers we have counts for
15 papers
Deep Wave Network for Modeling Multi-Scale Physical Dynamics
Alexander I. Khrabry, Edward A. Startsev, Andrew T. Powis +1
Performance of deep learning models is strongly governed by architectural capacity, with width and depth as primary controls. However, in physical-science applications, models are…
Accelerating kinetic plasma simulations with machine learning generated initial conditions
Andrew T. Powis, Domenica Corona Rivera, Alexander Khrabry +1
Computer aided engineering of multi-time-scale plasma systems which exhibit a quasi-steady state solution are challenging due to the large number of time steps required to reach co…
Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems
Alexander Khrabry, Edward Startsev, Andrew Powis +1
We propose a novel efficient architecture for learning long-term evolution in complex multi-scale physical systems which is based on the idea of separation of scales. Structures of…
Size-dependent second-order-like phase transitions in Fe nanocluster melting from low-temperature structural isomerization
Louis E. S. Hoffenberg, Alexander Khrabry, Yuri Barsukov +2
In this work, the melting phase transitions of nanoclusters with atoms are investigated using classical many-body molecular dynamics simulations. For…
Gibbs free energies of Fe clusters can be approximated by Tolman correction to accurately model cluster nucleation and growth
Alexander Khrabry, Louis E. S. Hoffenberg, Igor D. Kaganovich +2
Accurate Gibbs free energies of Fe clusters are required for predictive modeling of Fe cluster growth during condensation of a cooling vapor. We present a straightforward method of…
Numerical Method for Modeling Nucleation and Growth of Particles that Prevents Numerical Diffusion
A. Khrabry, I. D. Kaganovich, S. Raman +2
State-of-the-art models for aerosol particle nucleation and growth from a cooling vapor primarily use a nodal method to numerically solve particle growth kinetics. In this method,…
Compact and accurate chemical mechanism for methane pyrolysis with PAH growth
Alexander Khrabry, Igor D. Kaganovich, Yuri Barsukov +3
A reliable and compact chemical mechanism of gas-phase methane pyrolysis leading to formation of large polycyclic aromatic hydrocarbon (PAH) molecules has been developed. This mode…
Boron nitride nanotube precursor formation during high-temperature synthesis: kinetic and thermodynamic modelling
Yuri Barsukov, Omesh Dwivedi, Igor Kaganovich +3
We performed integrated modelling of the chemical pathways of formation for boron nitride nanotube (BNNT) precursors during high-temperature synthesis in a B/N2 mixture. Modelling…
Model of a transition from low to high ablation regime in a carbon arc
A. Khrabry, I. D. Kaganovich, A. Khodak +2
Graphite ablation in a presence of inert background gas is widely used in different methods for the synthesis of carbon nanotubes, including electric arc and laser/solar ablation.…
Validated two-dimensional modeling of short carbon arcs: anode and cathode spots
J. Chen, A. Khrabry, I. D. Kaganovich +3
In order to study properties of short carbon arcs, a self-consistent model was implemented into a CFD code ANSYS-CFX. The model treats transport of heat and electric current in the…
Convenient analytical formula for cluster mean diameter and diameter dispersion after nucleation burst
Mikael Tacu, Alexander Khrabry, Igor Kaganovich
We propose a new method of estimating the mean diameter and dispersion of clusters formed in a cooling gas, right after the nucleation stage. Using a moment model developed by Frie…
Validated Modeling of Atmospheric-Pressure Anodic Arc
Alexander Khrabry, Igor D. Kaganovich, Andrei Khodak +2
We performed self-consistent modeling of the atmospheric-pressure plasmas produced by arc discharges. Special numerical procedure for coupling of the plasma current, emission curre…
Determining Gas Composition for Growth of BNNTs Using Thermodynamic Approach
Alexander Khrabry, Igor D. Kaganovich, Shurik Yatom +4
A high-yield production of high-quality boron-nitride nanotubes (BNNTs) was reported recently in several publications. A boron-rich material is evaporated by a laser or plasma in a…
Synthesis of nanoparticles in carbon arc: measurements and modeling
Shurik Yatom, Alexander Khrabry, James Mitrani +5
This work studies the region of nanoparticle growth in atmospheric pressure carbon arc. Detection of the nanoparticles is realized via the planar laser induced incandescence (PLII)…
Effect of polarization forces on atom deposition on a non-spherical nanoparticle. Monte Carlo simulations
Valerian Nemchinsky, Alexander Khrabry
Trajectories of a polarizable species (atoms or molecules) in the vicinity of a negatively charged nanoparticle (at a floating potential) are considered. The atoms are pulled into…