scispace - formally typeset
R

Richard E. Russo

Researcher at Lawrence Berkeley National Laboratory

Publications -  356
Citations -  25674

Richard E. Russo is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Laser & Laser ablation. The author has an hindex of 62, co-authored 352 publications receiving 24343 citations. Previous affiliations of Richard E. Russo include Indiana University & University of California.

Papers
More filters
Journal ArticleDOI

Fundamental characteristics of laser-material interactions (ablation) in noble gases at atmospheric pressure using inductively coupled plasma-atomic emission spectroscopy

Richard E. Russo, +3 more
- 02 Apr 1996 - 
TL;DR: In this article, inductively coupled plasma-atomic emission spectroscopy (ICP-AES) is used to study fundamental behavior underlying the explosive removal of solid material by high power pulsed laser irradiation.
Journal ArticleDOI

Time Resolved Shadowgraph Images of Silicon during Laser Ablation: Shockwaves and Particle Generation

Chunyi Liu, +3 more
- 01 Apr 2007 - 
TL;DR: In this paper, time resolved shadowgraph images were recorded of shockwaves and particle ejection from silicon during laser ablation, which was correlated to an internal shockwave resonating between the shockwave front and the target surface.

Solar radiant heating of gas-particle mixtures

Arlon J. Hunt, +7 more
Journal ArticleDOI

Liquid sampling-atmospheric pressure glow discharge optical emission spectroscopy detection of laser ablation produced particles: A feasibility study

C. Derrick Quarles, +6 more
- 01 Oct 2012 - 
TL;DR: In this article, the use of a liquid sampling-atmospheric pressure glow discharge (LS-APGD) microplasma source as an alternative to conventional inductively coupled plasma (ICP) detection of laser ablation (LA) produced particles using a Nd:YAG laser at 1064nm is demonstrated.
Journal ArticleDOI

Coal Discrimination Analysis Using Tandem Laser-Induced Breakdown Spectroscopy and Laser Ablation Inductively Coupled Plasma Time-of-Flight Mass Spectrometry

Meirong Dong, +7 more
- 22 Apr 2020 - 
TL;DR: The research focused on coal classification strategies based on prin-ciple component analysis (PCA) combined with K-means clustering, partial least squares discrimination analysis (PLS-DA), and support vector machine (SVM) for analytical performance.