image/svg+xml Robophysics Dynamical systems and chaos  Econophysics Network dynamics 010203040u 00.050.10.150.2r N=5 N=7 N=10 0 0.004 0.008 0.012 0.016 10 0 10 1 10 2 10 3 p( τ ) τ [trading days] (a) ρ =-5 σ ρ =+5 σ 10 0 10 1 10 2 10 3 τ [trading days] (b) ρ =-5 σ ρ =+5 σ financial data analysis using the methods of statistical physics  big data structuresinverse statisticsensemble simulations methods problem results relevant time scales  problem numerical simulation of dynamical systems  methods numerical methodsphase transitions, stability analysis  results dynamical phase transitionsnew methods for detecting chaos  problem structure and dynamics of networks  methods network theorysimulation of networks  results connection between network structure and dynamics  problem control of robotic locomotion  methods numerical simulationsphase transitions, stability analysisrobotic experiments  results novel type of control algorithms  Research activity Bulcsú Sándor Department of Physics, Babes-Bolyai University  bulcsu.sandor@phys.ubbcluj.ro Synchronization synchronization phenomena  numerical simulationsstability analysisexperiments methods problem results pattern selection  Research activity Bulcsú Sándor Department of Physics, Babes-Bolyai University  bulcsu.sandor@phys.ubbcluj.ro
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  1. Dynamical systems
  2. Dynamical systems
  3. Networks
  4. Robophysics
  5. Econophysics
  6. Synchronization