Zobrazeno 1 - 10
of 533
pro vyhledávání: '"P. Sémon"'
Autor:
Cotler, Jordan, Rezchikov, Semon
We study the computational complexity theory of smooth, finite-dimensional dynamical systems. Building off of previous work, we give definitions for what it means for a smooth dynamical system to simulate a Turing machine. We then show that 'chaotic'
Externí odkaz:
http://arxiv.org/abs/2409.12179
Understanding the similarities and differences between adding or removing electrons from a charge-transfer insulator may provide insights about the origin of the electron-hole asymmetry found in cuprates. Here we study with cellular dynamical mean-fi
Externí odkaz:
http://arxiv.org/abs/2407.19545
Autor:
Rezchikov, Semon
We extend the Cohen-Jones-Segal construction of stable homotopy types associated to flow categories of Morse-Smale functions $f$ to the setting where $f$ is equivariant under a finite group action and is Morse but no longer Morse-Smale. This setting
Externí odkaz:
http://arxiv.org/abs/2405.18370
Informally, a model is calibrated if its predictions are correct with a probability that matches the confidence of the prediction. By far the most common method in the literature for measuring calibration is the expected calibration error (ECE). Rece
Externí odkaz:
http://arxiv.org/abs/2402.10046
ComDMFT is a parallel computational package designed to study the electronic structure of correlated quantum materials from first principles. Our approach is based on the combination of first-principles methods and dynamical mean field theories. In v
Externí odkaz:
http://arxiv.org/abs/2310.04613
Currently, a large number of stored tissue samples are unavailable for spectroscopic study without the time consuming and destructive process of paraffin removal. Instead, a structurally sensitive technique, sum frequency generation, and a chemically
Externí odkaz:
http://arxiv.org/abs/2310.00460
Publikováno v:
PRX Quantum, Vol 1, Iss 2, p 020310 (2020)
Tools of quantum information theory offer a new perspective to characterize phases and phase transitions in interacting many-body quantum systems. The Hubbard model is the archetypal model of such systems and can explain rich phenomena of quantum mat
Externí odkaz:
https://doaj.org/article/bfa44f333abe44ffb0c3151e85248627
Autor:
A. Chikina, J.-Z. Ma, W. H. Brito, S. Choi, P. Sémon, A. Kutepov, Q. Du, J. Jandke, H. Liu, N. C. Plumb, M. Shi, C. Petrovic, M. Radovic, G. Kotliar
Publikováno v:
Physical Review Research, Vol 2, Iss 2, p 023190 (2020)
Iron antimonide (FeSb_{2}) with peculiar colossal thermopower of about −45 mV/K at 10 K is a mysterious material, and a unified microscopic description of this phenomenon is far from being achieved. Combining angle-resolved photoemission spectrosco
Externí odkaz:
https://doaj.org/article/88d650d481b44a8ebd6cc29d6826bd52
Autor:
Cotler, Jordan, Rezchikov, Semon
We explain how to use diffusion models to learn inverse renormalization group flows of statistical and quantum field theories. Diffusion models are a class of machine learning models which have been used to generate samples from complex distributions
Externí odkaz:
http://arxiv.org/abs/2308.12355
Publikováno v:
Phys. Rev. B 108, 075163 (2023)
Doping a Mott insulator gives rise to unconventional superconducting correlations. Here we address the interplay between d-wave superconductivity and Mott physics using the two-dimensional Hubbard model with cellular dynamical mean-field theory on a
Externí odkaz:
http://arxiv.org/abs/2307.02681