The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Applications for Nuclear Phenomena Generated by Ultra-Intense Lasers
Abstract
The amplification of laser light to generate powers large enough to affect the nucleus has been the desire of scientists since the invention of the laser 40 years ago. Many lasers, including tabletop varieties, now have pulse powers greater than the electrical power generated by all the world's power plants combined. When this power is focused to dimensions of a few microns, laser-driven nuclear phenomena can occur. Here we review the developments in this research field and describe the potential of laserproduced proton, neutron, and heavy ion beams, together with isotope and isomer production.
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Cites
Tajima, T., & Dawson, J. M. (1979) · Physical Review Letters · doi:10.1103/physrevlett.43.267 · Cited by 4,705
Compression of amplified chirped optical pulses
Strickland, D., & Mourou, G. (1985) · Optics Communications · doi:10.1016/0030-4018(85)90120-8 · Cited by 3,937
Cited by
Laser Excitation of the Th-229 Nucleus
Tiedau, J., Okhapkin, M. V., Zhang, K., Thielking, J., Zitzer, G., Peik, E., Schaden, F., Pronebner, T., Morawetz, I., De Col, L. T., et al. (2024) · Physical Review Letters · doi:10.1103/physrevlett.132.182501 · Cited by 179
Metadata
- Authors
- Ledingham, K. W. D., McKenna, P., & Singhal, R. P.
- Venue
- Science
- Published
- 2003-05-16
- Volume
- 300
- Issue
- 5622
- Pages
- 1107-1111
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1986844501
- Cited by
- 367
- References
- 2
- FWCI
- 13.29
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ledingham, K. W. D., McKenna, P., & Singhal, R. P. (2003). Applications for Nuclear Phenomena Generated by Ultra-Intense Lasers. Science. https://doi.org/10.1126/science.1080552
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
