Adilson E. Motter

Adilson E. Motter (born January 1, 1974, in Brazil), is the Charles E. and Emma H. Morrison Professor of Physics at Northwestern University, where he has helped develop the concept of synthetic rescue in network biology as well as methods to control the nonlinear dynamics of complex networks. In joint work with Takashi Nishikawa, he discovered the phenomenon of converse symmetry breaking (also referred to as asymmetry-induced symmetry).[1] Motter's research is focused on complex systems and nonlinear phenomena, primarily involving complex networks, systems biology, chaos and statistical physics.

Adilson E. Motter
Born (1974-01-01) January 1, 1974
Brazil
Known forCascading failures in large-scale networks
Synthetic rescues in metabolic networks
Mechanical metamaterials with negative compressibility
Doubly transient and relativistic chaos
Converse symmetry breaking in network dynamics
AwardsSloan Research Fellow (2009)
NSF CAREER Award (2011)
APS Fellow (2013)
Erdös-Rényi Prize (2013)
Simons Foundation Fellow (2015)
AAAS Fellow (2015)
NetSci Fellow (2020)
CSS Senior Scientific Award (2022)
Scientific career
FieldsPhysics, applied math
InstitutionsNorthwestern University

Scientific activity

Motter has contributed to the study of nonlinear phenomena in complex systems. He and his collaborators have established conditions for the synchronization of power grids [2][3] and other complex networks.[4][5] Together with his former student Z. Nicolaou, he designed a class of mechanical metamaterials that exhibit longitudinal negative compressibility.[6] He has devised local methods for cascade control in distributed systems[7] and his team advanced the large-scale modeling of cascading failures.[8] His group has studied implications of these methods for the recovery of lost function in biological [9][10] and ecological [11][12] networks and for the control of complex networks in general.[13][14][15] His first publication in network science established the three degrees of separation for English words.[16]

In other areas, most noticeably chaos theory, he is known for accommodating the formalism of chaos theory within general relativity.[17] Along with colleagues, he also formalized the concept of doubly transient chaos in dissipative dynamical systems [18] and discovered that network dynamics can exhibit sensitive dependence on network structure much in the same way chaotic dynamics exhibits sensitive dependence on initial conditions or parameters.[19]

Together with Marc Timme, he wrote the review “Antagonistic Phenomena in Network Dynamics”, which discusses a variety of seemly paradoxical or highly counterintuitive effects in collective network dynamics.[20]

Awards

Motter is a Fellow of the American Physical Society. He was selected as a Sloan Research Fellow in 2009, received an NSF CAREER Award in 2011, and was awarded the Erdös-Rényi Prize in Network Science in 2013. In 2014 he was identified among the 30 most promising scientists under the age of 40 born in Latin America, according to a survey conducted jointly by the magazine Qué Pasa and the blog LatinAmericanScience.org. [21] In 2015, the Simons Foundation named Motter one of their Fellows in Theoretical Physics. He is an elected Fellow of the American Association for the Advancement of Science (AAAS) and in 2020 was named a Fellow of the Network Science Society. In 2022, Motter received the Senior Scientific Award of the Complex Systems Society.

References
  1. Nishikawa T. and Motter A. E., Symmetric States Requiring System Asymmetry, Physical Review Letters 117, 114101 (2016).
  2. Motter A. E., Myers S. A., Anghel M., and Nishikawa T., Spontaneous synchrony in power-grid networks, Nature Physics 9, 191 (2013).
  3. Better power grid synchronization may enable smart grids to self-recover from failures, Phys.Org, February 22, 2013, by Lisa Zyga.
  4. Motter A. E., Zhou C. Z. and Kurths J., Network Synchronization, Diffusion, and the Paradox of Heterogeneity, Physical Review E 71, 016116 (2005).
  5. Nishikawa T. and Motter A. E., Network Synchronization Landscape Reveals Compensatory Structures, Quantization, and the Positive Effect of Negative Interactions, Proc. Natl. Acad. Sci. USA 107, 10342 (2010).
  6. Nicolaou Z. G. and Motter A. E., Mechanical metamaterials with negative compressibility transitions, Nature Materials 11, 608 (2012).
  7. Motter A. E., Cascade Control and Defense in Complex Networks, Physical Review Letters 93, 098701 (2004).
  8. Yang Y., Nishikawa T., and Motter A. E., Small Vulnerable Sets Determine Large Network Cascades in Power Grids, Science 358 (6365), eaan3184 (2017).
  9. Motter A. E., Gulbahce N., Almaas E., and Barabasi A.-L., Predicting Synthetic Rescues in Metabolic Networks, Molecular Systems Biology 4, 168 (2008).
  10. Work with Power Grids Leads to Cell Biology Discovery.
  11. Sahasrabudhe S. and Motter A. E, Rescuing Ecosystems from Extinction Cascades through Compensatory Perturbations, Nature Communications 2, 170 (2011).
  12. Mathematical model could help predict and prevent future extinctions, National Science Foundation, January 25, 2011, by Lisa Van Pay.
  13. Cornelius S. P., Kath W. L., and Motter A. E., Realistic Control of Network Dynamics, Nature Communications 4, 1942 (2013).
  14. Sun J. and Motter A. E.,Controllability transition and nonlocality in network control, Phys. Rev. Lett. 110, 208701 (2013).
  15. Cornelius S. P. and Motter A. E., NECO - A scalable algorithm for NEtwork COntrol, Protocol Exchange (2013), doi:10.1038/protex.2013.063.
  16. Small word network, Nature Science Update, July 2, 2002, by Philip Ball.
  17. Motter A. E., Relativistic Chaos is Coordinate Invariant, Physical Review Letters 91, 231101 (2003).
  18. Motter A. E., Gruiz M., Károlyi G., and Tel T., Doubly transient chaos: Generic form of chaos in autonomous dissipative systems, Physical Review Letters 111, 194101 (2013).
  19. Nishikawa T., Sun J. and Motter A. E., Sensitive dependence of optimal network dynamics on network structure, Physical Review X 7, 041044 (2017).
  20. Motter A. E. and Timme M., Antagonistic Phenomena in Network Dynamics, Annu. Rev. Condens. Matter Phys 9, 463 (2018).
  21. LatinAmérica Genial, Qué Pasa, May 2, 2014.
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