Edward Ott - Selected Publications#

[1] 'Chaos in Dynamical Systems,' Cambridge University Press, second edition (2002).
[> 6600 Google citations.]

[2] ‘Controlling Chaos,’ E. Ott, C. Grebogi and J.A. Yorke, Phys. Rev. Lett. 64, 1196 (1990).
[> 8450 Google citations. This paper was listed by Physical Review Letters as one of its “Milestone Papers” (approximately 45 % of these paper have been recognized by Nobel Prizes). This paper is also the work for which the 2016 Citation Laureate in Physics was awarded; see section 1.14 above.]

[3] ‘A Local Ensemble Kalman Filter for Atmospheric Data Assimilation,’ E. Ott, B.R. Hunt, I. Szunyogh, A.V. Zimin, E.J. Kostelich, M. Corazza, E. Kalnay, D.J. Patil, and J.A. Yorke, Tellus A 56, 215 (2004).
[This paper is the weather forecasting work referred to in the citation accompanying Prof. Ott's award of the 2017 Lewis Fry Richardson Medal; see section 1.14 above. The method of this paper, or variations in which the method is combined with other methods, have been incorporated, or are in the process of being incorporated, into forecasting at leading weather centers worldwide.]

[4] ‘Crises, Sudden Changes in Chaotic Attractors and Chaotic Transients,’ C. Grebogi E. Ott and J.A. Yorke, Physics D 7, 181 (1983).

[5] ‘Critical Exponents for Crisis-Induced Intermittency,’ C. Grebogi, F. Romeiras, E. Ott and J.A. Yorke, Phys. Rev. A 36 5365 (1987).

[6] ‘Fractal Basin Boundaries,’ S.W. McDonald, C. Grebogi, E. Ott and J.A. Yorke, Physica D 17, 125 (1985).

[7] ‘Chaotic Flows and Magnetic Dynamos,’ J.M. Finn and E. Ott, Phys. Rev. Lett. 60, 760 (1988).

[This paper represents the dynamo work referred to in the citation accompanying Prof. Ott's award of the 2017 Lewis Fry Richardson Medal; see section 1.14 above.]

[8] 'Low Dimensional Behavior of Large Systems of Globally Coupled Oscillators,' E. Ott and T. M. Antonsen, Chaos 18, 037113 (2008).

[9] 'Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach,' J. Pathak, B. Hunt, M. Girvan, Z. Lu, and E. Ott, Phys. Rev. Lett. 120, 024102 (2018).

[10] 'Using Machine Learning to Replicate Attractors and Calculate Lyapunov Exponents,' J. Pathak, Z. Lu, B. R. Hunt, M. Girvan, and E. Ott, Chaos 27, 121102 (2017).

[Evidence for the impact of [9] and [10] is that they have already attracted substantial attention, as evidenced by Prof. Ott's invitations to give several keynote talks on in this area (e.g., see the second item in section 4.3, below).]