Predicting breakdown using machine learning by Soumyajyoti Biswas скачать в хорошем качестве

Predicting breakdown using machine learning by Soumyajyoti Biswas

DISCUSSION MEETING: 7TH INDIAN STATISTICAL PHYSICS COMMUNITY MEETING ORGANIZERS : Ranjini Bandyopadhyay, Abhishek Dhar, Kavita Jain, Rahul Pandit, Sanjib Sabhapandit, Samriddhi Sankar Ray and Prerna Sharma DATE: 19 February 2020 to 21 February 2020 VENUE: Ramanujan Lecture Hall, ICTS Bangalore This is an annual discussion meeting of the Indian statistical physics community attended by scientists, postdoctoral fellows, and graduate students, from across the country, working in the broad area of statistical physics. This meeting will be the 7th in the series and will cover all the 8 topics covered at STATPHYS meetings, namely - General and mathematical aspects rigorous results, exact solutions, probability theory, stochastic field theory, phase transitions and critical phenomena at equilibrium, information theory, optimization, etc. Out-of-equilibrium aspects driven systems, transport theory, relaxation and response dynamics, random processes, anomalous diffusion, fluctuation theorems, large deviations, out-of-equilibrium phase transitions, etc. Quantum fluids and condensed matter strongly correlated electrons, cold atoms, graphene, mesoscopic quantum phenomena, fractional quantum Hall effect, low dimensional quantum field theory, quantum phase transitions, quantum information, entanglement, Lüttinger liquid, spin liquid, etc. Disordered and glassy systems percolation, spin glasses, structural glasses, metallic glasses, jamming, glass transition, algorithmic problems, etc. Biological physics molecular motors, single and multicellular dynamics, bacteria, swimmers, Spatio-temporal organization, biological membranes, biopolymer folding, genomics, biological networks, evolution models, evolutionary game theory, etc. Soft matter simple and complex fluids, active matter, molecular and ionic fluids, wetting, self-assembly, polymers, gels, liquid crystals, microemulsions, foams, membranes, colloids, granular materials, etc. Nonlinear physics dynamical systems, chaos (classical and quantum), pattern formation, chemical reactions, hydrodynamic instabilities, turbulence (classical and quantum), etc. Interdisciplinary and complex systems networks and graphs, epidemics, econophysics, social phenomena, traffic flow, ecology, etc. APPLICATION DEADLINE:12 January 2020 CONTACT US: [email protected] PROGRAM LINK: https://www.icts.res.in/discussion-me...