A machine-learning framework for the simulation of nuclear deflection of Planet-Killer-Asteroids-Reference-Cited by-同舟云学术

A machine-learning framework for the simulation of nuclear deflection of Planet-Killer-Asteroids

Published:2022-12 Issue: Volume:402 Page:115316
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Zohdi T.I.

Funder

University of California Berkeley

U.S. Department of Energy

Sandia National Laboratories

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference65 articles.

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4. Optimal Trajectories for the Impulsive Deflection of NEOs; Paper IAC-05-C1.5.06, 56th International Astronautical Congress, Fukuoka, Japan, (October 2005), Vol. 59;Izzo,2006

5. Orbital and mission planning constraints for the deflection of NEOs impacting on earth;Carusi;Icarus,2008

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