Search Results for author: Mikhail I. Katsnelson

Found 8 papers, 0 papers with code

Thermodynamics of Evolution and the Origin of Life

no code implementations28 Oct 2021 Vitaly Vanchurin, Yuri I. Wolf, Eugene V. Koonin, Mikhail I. Katsnelson

We further define the biological counterparts of temperature (biological temperature) as the measure of stochasticity of the evolutionary process and of chemical potential (evolutionary potential) as the amount of evolutionary work required to add a new trainable variable (such as an additional gene) to the evolving system.

Towards a Theory of Evolution as Multilevel Learning

no code implementations27 Oct 2021 Vitaly Vanchurin, Yuri I. Wolf, Mikhail I. Katsnelson, Eugene V. Koonin

We apply the theory of learning to physically renormalizable systems in an attempt to develop a theory of biological evolution, including the origin of life, as multilevel learning.

Self-organized criticality in neural networks

no code implementations7 Jul 2021 Mikhail I. Katsnelson, Vitaly Vanchurin, Tom Westerhout

We demonstrate, both analytically and numerically, that learning dynamics of neural networks is generically attracted towards a self-organized critical state.

Exchange constants for local spin Hamiltonians from tight-binding models

no code implementations8 Mar 2021 Simon Streib, Attila Szilva, Vladislav Borisov, Manuel Pereiro, Anders Bergman, Erik Sjöqvist, Anna Delin, Mikhail I. Katsnelson, Olle Eriksson, Danny Thonig

We consider the mapping of tight-binding electronic structure theory to a local spin Hamiltonian, based on the adiabatic approximation for spin degrees of freedom in itinerant-electron systems.

Materials Science Strongly Correlated Electrons

Gauge invariance and Ward identities in nonlinear response theory

no code implementations8 Feb 2021 Habib Rostami, Mikhail I. Katsnelson, Giovanni Vignale, Marco Polini

We present a formal analysis of nonlinear response functions in terms of correlation functions in real- and imaginary-time domains.

Mesoscale and Nanoscale Physics

Emergent Quantumness in Neural Networks

no code implementations9 Dec 2020 Mikhail I. Katsnelson, Vitaly Vanchurin

It was recently shown that the Madelung equations, that is, a hydrodynamic form of the Schr\"odinger equation, can be derived from a canonical ensemble of neural networks where the quantum phase was identified with the free energy of hidden variables.

Towards physical principles of biological evolution

no code implementations1 Sep 2017 Mikhail I. Katsnelson, Yuri I. Wolf, Eugene V. Koonin

Deep analogies have been suggested to also exist between the properties of biological entities and processes, and those of frustrated states in physics, such as glasses.

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