Lucilla de Arcangelis

Lucilla de Arcangelis is an Italian statistical physicist known for her work on percolation theory, self-organized criticality, power laws in fracture, and applications including earthquake prediction[1] and neuroscience.[2] She is a professor of physics at the Università degli Studi della Campania Luigi Vanvitelli (the University of Campania or Second University of Naples).

Education and career

De Arcangelis earned a laurea from the University of Naples Federico II in 1980. She completed her Ph.D. at Boston University in 1986; her dissertation, Multifractality in Percolation: the Voltage Distribution, was supervised by Sidney Redner.[3]

After postdoctoral or visiting research positions at the University of Cologne, Saclay Nuclear Research Centre, and Forschungszentrum Jülich, she became a researcher for the French National Centre for Scientific Research, working in the Laboratoire Physique et Mécanique des Milieux Hétérogènes at ESPCI Paris, in 1990. She took an associate professorship at the University of L'Aquila in 1993, and moved to the University of Campania in 1996, becoming full professor of the theoretical physics of condensed matter in the Department of Industrial and Information Engineering in 2014.[3]

Recognition

In 2020, de Arcangelis was named a Fellow of the American Physical Society (APS), after a nomination from the APS Division of Computational Physics, for "the discovery of new principles underlying the strong temporal correlations in avalanching critical systems, including fracture of disordered heterogeneous materials, solar flares, earthquakes, and dynamic balance between excitation and inhibition in the brain".[4]

References
  1. Sokol, Joshua (21 September 2015), "How earthquakes can trigger copycat quakes 1000 kilometres away", New Scientist
  2. Ouellette, Jennifer (14 June 2018), "Brains may teeter near their tipping point", Quanta Magazine
  3. Curriculum vitae, retrieved 2020-11-12
  4. APS Fellows Archive: Fellows nominated by DCOMP in 2020, retrieved 2020-11-12
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.