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Kevin J. Bowers

Researcher at Los Alamos National Laboratory

Publications -  99
Citations -  8348

Kevin J. Bowers is an academic researcher from Los Alamos National Laboratory. The author has contributed to research in topics: Laser & Magnetic reconnection. The author has an hindex of 36, co-authored 99 publications receiving 7197 citations. Previous affiliations of Kevin J. Bowers include D. E. Shaw Research & University of California, Berkeley.

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Journal ArticleDOI

Saturation of backward stimulated scattering of a laser beam in the kinetic regime.

TL;DR: Wave front bowing of electron-plasma waves (ion-acoustic waves) from trapped particle nonlinear frequency shift is observed in the SRS (SBS) regime for the first time and self-focusing from trapped particles modulational instability (TPMI) is shown to occur in 2D and 3D SRS simulations.
Journal ArticleDOI

Efficient carbon ion beam generation from laser-driven volume acceleration

TL;DR: In this paper, experimental data on laser-driven carbon C6+ ion acceleration with a peak intensity of 5???1020?W?cm?2 are presented and compared for opaque target normal sheath acceleration (TNSA) and relativistically transparent laser?plasma interactions.
Journal ArticleDOI

Theory of laser acceleration of light-ion beams from interaction of ultrahigh-intensity lasers with layered targets.

TL;DR: An analytic model is obtained that predicts how the mean energy and quality of monoenergetic ion beams and the energy of substrate ions vary with substrate material and light-ion layer composition and thickness.
Journal ArticleDOI

Monoenergetic Ion Beam Generation by Driving Ion Solitary Waves with Circularly Polarized Laser Light

TL;DR: The conversion efficiency into monoenergetic ions is increased by an order of magnitude compared with previous experimental results, representing an important step towards applications such as ion fast ignition.
Proceedings ArticleDOI

0.374 Pflop/s trillion-particle kinetic modeling of laser plasma interaction on Roadrunner

TL;DR: The outstanding performance and scalability of the VPIC kinetic plasma modeling code on the heterogeneous IBM Roadrunner supercomputer at Los Alamos National Laboratory is demonstrated and opens up the exciting possibility of using VPIC to model, from first-principles, an issue critical to the success of the multi-billion dollar DOE/NNSA National Ignition Facility.