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Initiative for the Theoretical Sciences
United States
Приєднався 17 тра 2020
Promoting collaboration across the theoretical sciences. We are part of The Graduate Center, City University of New York. Visit us at itsatcuny.org
Workshop on Precision Many-body Theory Dec. 6
itsatcuny.org/calendar/2024/12/5/workshop-on-precision-many-body-theory
Переглядів: 16
Відео
Workshop on Precision Many-body Theory Dec. 7
Переглядів 77 годин тому
itsatcuny.org/calendar/2024/12/5/workshop-on-precision-many-body-theory
Workshop on Precision Many-body Theory Dec. 5, 2024
Переглядів 87 годин тому
itsatcuny.org/calendar/2024/12/5/workshop-on-precision-many-body-theory
Spring 2024 Physics of Life: Students and Postdocs Edition
Переглядів 2498 місяців тому
March 1, 2024 @ the CUNY Graduate Center Center for the Physics of Biological Function itsatcuny.org/calendar/studentspostdocs/240301 (abstracts available) William Bialek, introduction 1:19 Molecular mechanisms of precise timing in cell lysis Anupam Mondal, Rice University 30:56 Cell-motility self-regulated by secreted footprints Emiliano Perez Ipiña, Johns Hopkins University 1:01:13 Understand...
Classical, quantum and active fluids - Day 3
Переглядів 898 місяців тому
Classical, quantum and active fluids - Day 3
Classical, quantum and active fluids - Day 2
Переглядів 398 місяців тому
Classical, quantum and active fluids - Day 2
Classical, quantum and active fluids - Day 1
Переглядів 1088 місяців тому
Classical, quantum and active fluids - Day 1
Classical, quantum and active fluids - Day 5
Переглядів 488 місяців тому
Classical, quantum and active fluids - Day 5
Classical, quantum and active fluids - Day 4
Переглядів 688 місяців тому
Classical, quantum and active fluids - Day 4
Single Molecules in Vivo
Переглядів 10311 місяців тому
December 8, 2023 Skylight Room, CUNY Graduate Center Center for the Physics of Biological Function Symposium Deciphering the form and function of the 3D genome Zhe J. Liu, HHMI Janelia Research Campus Deconstructing the mechanism by which the 3D genome encodes genetic information to generate diverse cell types during animal development is a major challenge in biology. In this talk, I will discu...
Fall 2023 Students and Postdocs Edition (Physics of Life)
Переглядів 223Рік тому
Nov 17, 2023 Center for the Physics of Biological Function Symposium at the CUNY Graduate Center A fitness landscape instability governs the morphological diversity of tip growing cells Maxim Ohairwe, New York University Biophysical principles predict fitness of SARS-CoV-2 variants Dianzhuo John Wang, Harvard University Cell geometry and biochemistry interact to dynamically regulate cAMP domain...
New Frontiers of quantum chemistry/dynamics theories and simulation methods Part 1
Переглядів 148Рік тому
New Frontiers of quantum chemistry/dynamics theories and simulation methods Part 1
Modern kinetics and turbulence theory | Gregory Falkovich | Lecture 2
Переглядів 88Рік тому
Non-equilibrium solutions and kinetic coefficients: diffusivity and viscosity. Corrections to the Boltzmann equation, resummation of divergences, multi-particle correlations and memory effects.
Modern kinetics and turbulence theory | Gregory Falkovich | Lecture 1
Переглядів 162Рік тому
Quantum kinetic equation and its two limits, Boltzmann and wave kinetics. Liouville equation and derivation of the Boltzmann equation. H-theorem and mutual information. Stationary solutions (and their entropies).
Theoretical Perspectives Enhancing Deep Learning Models
Переглядів 348Рік тому
Theoretical Perspectives Enhancing Deep Learning Models
Machine Learning, Embedding, and Dynamics of Many-Electron States in Molecules and Materials Part 2
Переглядів 37Рік тому
Machine Learning, Embedding, and Dynamics of Many-Electron States in Molecules and Materials Part 2
Machine Learning, Embedding, and Dynamics of Many-Electron States in Molecules and Materials Part 1
Переглядів 52Рік тому
Machine Learning, Embedding, and Dynamics of Many-Electron States in Molecules and Materials Part 1
Expanding Boundaries of Molecular Sciences through Machine Learning Approaches
Переглядів 101Рік тому
Expanding Boundaries of Molecular Sciences through Machine Learning Approaches
Spring 2023 Physics of Life: Students and Postdocs Edition
Переглядів 284Рік тому
Spring 2023 Physics of Life: Students and Postdocs Edition
Information flow in bacterial chemotaxis
Переглядів 150Рік тому
Information flow in bacterial chemotaxis
Fall 2022 Physics of Life: Students and Postdocs Edition
Переглядів 144Рік тому
Fall 2022 Physics of Life: Students and Postdocs Edition
Neuroscience tutorial with Orie Shafer and Abhilash Lakshman: A Two Process Model of Fly Sleep.
Переглядів 245Рік тому
Neuroscience tutorial with Orie Shafer and Abhilash Lakshman: A Two Process Model of Fly Sleep.
Low rank tensor network approximation algorithms for quantum simulations -- Linjian Ma
Переглядів 5952 роки тому
Low rank tensor network approximation algorithms for quantum simulations Linjian Ma
Non unitary shortcuts to long-range entangled matter -- Tim Hsieh
Переглядів 3882 роки тому
Non unitary shortcuts to long-range entangled matter Tim Hsieh
Interogating the tensor network regression model -- Ian Convy
Переглядів 3642 роки тому
Interogating the tensor network regression model Ian Convy
Covid-19 = two videos of 19+ year olds? Yes, I know. That wasn't the issue.
Young Edward Lee Jennifer Martinez Carol
Really useful to get a grasp on the subject !! Thanks a lot for the video, make more ! 😊
💖
Best talk on this topic have ever since!
thank you
I have conducted (and published) research with tensor networks before, but this talk makes it even clearer for me! very nifty, elegant way of looking at the field
Thank you awesome!
I learnt so much! Thank you! Finally know what Tensor Networks are.
Glad to hear it!
thanks for the video, I try to connect myself but I get some disturbances....
Thank you so much for the video. I missed it for this week.