Time | Speaker | Title | Resources | |
---|---|---|---|---|

11:00 to 12:30 | Vijaykumar Krishnamurthy (ICTS-TIFR, India) | Pattern Formation in Biology (Lecture 1) | ||

14:00 to 15:30 | Chandan Dasgupta (ICTS and IISc, Bangalore) | Spin Glasses and Related Systems (Lecture 1) | ||

16:00 to 17:30 | Supriya Krishnamurthy (Stockholm University, Sweden) |
Chemical Reaction Networks (Lecture 1) We are often confronted with chemical reactions in chemistry and biology but several familiar models in physics, such as the zero-range process, can also be modeled as chemical reactions or networks of chemical reactions (CRNs). Mathematical models of CRNs either focus on deterministic models via rate equations (systems of nonlinear ordinary differential equations) which quantify how the concentrations of the different species change in time, or as stochastic processes modeled by Master equations. One of the major theorems pertaining to deterministic models of CRNs is the For understanding the deficiency zero theorem, we will mainly use reference [3] , chapters 16-23. This book also has a number of relevant references including [4]. For understanding the stochastic version, we will use [2,3].
[5] Supriya Krishnamurthy and Eric Smith, J. Phys. A: Math. Theor. 50, 425002 (2017) |
||

18:00 to 19:30 | - | Tutorials |

Time | Speaker | Title | Resources | |
---|---|---|---|---|

11:00 to 12:30 | Vijaykumar Krishnamurthy (ICTS-TIFR, India) | Pattern Formation in Biology (Lecture 2) | ||

14:00 to 15:30 | Chandan Dasgupta (ICTS and IISc, Bangalore) | Spin Glasses and Related Systems (Lecture 2) | ||

16:00 to 17:30 | Supriya Krishnamurthy (Stockholm University, Sweden) |
Chemical Reaction Networks (Lecture 2) We are often confronted with chemical reactions in chemistry and biology but several familiar models in physics, such as the zero-range process, can also be modeled as chemical reactions or networks of chemical reactions (CRNs). Mathematical models of CRNs either focus on deterministic models via rate equations (systems of nonlinear ordinary differential equations) which quantify how the concentrations of the different species change in time, or as stochastic processes modeled by Master equations. One of the major theorems pertaining to deterministic models of CRNs is the For understanding the deficiency zero theorem, we will mainly use reference [3] , chapters 16-23. This book also has a number of relevant references including [4]. For understanding the stochastic version, we will use [2,3].
[5] Supriya Krishnamurthy and Eric Smith, J. Phys. A: Math. Theor. 50, 425002 (2017) |
||

18:00 to 19:30 | - | Tutorials |

Time | Speaker | Title | Resources | |
---|---|---|---|---|

11:00 to 12:30 | Vijaykumar Krishnamurthy (ICTS-TIFR, India) | Pattern Formation in Biology (Lecture 3) | ||

14:00 to 15:30 | Chandan Dasgupta (ICTS and IISc, Bangalore) | Spin Glasses and Related Systems (Lecture 3) | ||

16:00 to 17:30 | Supriya Krishnamurthy (Stockholm University, Sweden) |
Chemical Reaction Networks (Lecture 3) We are often confronted with chemical reactions in chemistry and biology but several familiar models in physics, such as the zero-range process, can also be modeled as chemical reactions or networks of chemical reactions (CRNs). Mathematical models of CRNs either focus on deterministic models via rate equations (systems of nonlinear ordinary differential equations) which quantify how the concentrations of the different species change in time, or as stochastic processes modeled by Master equations. One of the major theorems pertaining to deterministic models of CRNs is the For understanding the deficiency zero theorem, we will mainly use reference [3] , chapters 16-23. This book also has a number of relevant references including [4]. For understanding the stochastic version, we will use [2,3].
[5] Supriya Krishnamurthy and Eric Smith, J. Phys. A: Math. Theor. 50, 425002 (2017) |
||

18:00 to 19:30 | - | Tutorials |

Time | Speaker | Title | Resources | |
---|---|---|---|---|

11:00 to 12:30 | Vijaykumar Krishnamurthy (ICTS-TIFR, India) | Pattern Formation in Biology (Lecture 4) | ||

14:00 to 15:30 | Chandan Dasgupta (ICTS and IISc, Bangalore) | Spin Glasses and Related Systems (Lecture 4) | ||

16:00 to 17:30 | Supriya Krishnamurthy (Stockholm University, Sweden) |
Chemical Reaction Networks (Lecture 4)
[5] Supriya Krishnamurthy and Eric Smith, J. Phys. A: Math. Theor. 50, 425002 (2017) |
||

18:00 to 19:30 | - | Tutorials |

Time | Speaker | Title | Resources | |
---|---|---|---|---|

11:00 to 12:30 | Vijaykumar Krishnamurthy (ICTS-TIFR, India) | Pattern Formation in Biology (Lecture 5) | ||

14:00 to 15:30 | Chandan Dasgupta (ICTS and IISc, Bangalore) | Spin Glasses and Related Systems (Lecture 5) | ||

16:00 to 17:30 | Supriya Krishnamurthy (Stockholm University, Sweden) |
Chemical Reaction Networks (Lecture 5)
[5] Supriya Krishnamurthy and Eric Smith, J. Phys. A: Math. Theor. 50, 425002 (2017) |
||

18:00 to 19:30 | - | Tutorials |

Time | Speaker | Title | Resources | |
---|---|---|---|---|

11:00 to 12:30 | Praneeth Netrapalli (Google Research India) | Stochastic Gradient Descent and Machine Learning (Lecture 1) | ||

14:00 to 15:30 | Jeremie Bec (Université Côte d'Azur (UCA), France) | Statistical Physics of Turbulence (Lecture 1) | ||

16:00 to 17:30 | Stefano Ruffo (SISSA, Italy) | Statistical Physics of Long-range Systems (Lecture 1) | ||

18:00 to 19:30 | - | Tutorials |

Time | Speaker | Title | Resources | |
---|---|---|---|---|

11:00 to 12:30 | Praneeth Netrapalli (Google Research India) | Stochastic Gradient Descent and Machine Learning (Lecture 2) | ||

14:00 to 15:30 | Jeremie Bec (Université Côte d'Azur, France) | Statistical Physics of Turbulence (Lecture 2) | ||

16:00 to 17:30 | Stefano Ruffo (SISSA, Italy) | Statistical Physics of Long-range Systems (Lecture 2) | ||

18:00 to 19:30 | - | Tutorials |

Time | Speaker | Title | Resources | |
---|---|---|---|---|

11:00 to 12:30 | Praneeth Netrapalli (Google Research India) | Stochastic Gradient Descent and Machine Learning (Lecture 3) | ||

14:00 to 15:30 | Jeremie Bec (Université Côte d'Azur, France) | Statistical Physics of Turbulence (Lecture 3) | ||

16:00 to 17:30 | Stefano Ruffo (SISSA, Italy) | Statistical Physics of Long-range Systems (Lecture 3) | ||

18:00 to 19:30 | - | Tutorials |

Time | Speaker | Title | Resources | |
---|---|---|---|---|

11:00 to 12:30 | Praneeth Netrapalli (Google Research India) | Stochastic Gradient Descent and Machine Learning (Lecture 4) | ||

14:00 to 15:30 | Jeremie Bec (Université Côte d'Azur, France) | Statistical Physics of Turbulence (Lecture 4) | ||

16:00 to 17:30 | Nicolo Defenu (ETH Zurich, Switzerland) | Quantum Systems with Long-range Interactions (Lecture 1) | ||

18:00 to 19:30 | - | Tutorials |

Time | Speaker | Title | Resources | |
---|---|---|---|---|

11:00 to 12:30 | Praneeth Netrapalli (Google Research India) | Stochastic Gradient Descent and Machine Learning (Lecture 5) | ||

14:00 to 15:30 | Jeremie Bec (Université Côte d'Azur, France) | Statistical Physics of Turbulence (Lecture 5) | ||

16:00 to 17:30 | Nicolo Defenu (ETH Zurich, Switzerland) | Quantum Systems with Long-range Interactions (Lecture 2) | ||

18:00 to 19:30 | - | Tutorials |