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pro vyhledávání: '"Tirelli, Andrea"'
We present a study of the principal deuterium Hugoniot for pressures up to $150$ GPa, using Machine Learning potentials (MLPs) trained with Quantum Monte Carlo (QMC) energies, forces and pressures. In particular, we adopted a recently proposed workfl
Externí odkaz:
http://arxiv.org/abs/2301.03570
Autor:
Tirelli, Andrea, Nakano, Kousuke
Topological data analysis (TDA) is a new emerging and powerful tool to understand the medium range structure ordering of multi-scale data. This study investigates the density anomalies observed during cooling of liquid silica from topological point o
Externí odkaz:
http://arxiv.org/abs/2208.06378
We have developed a technique combining the accuracy of quantum Monte Carlo in describing the electron correlation with the efficiency of a Machine Learning Potential (MLP). We use kernel regression in combination with SOAP (Smooth Overlap of Atomic
Externí odkaz:
http://arxiv.org/abs/2112.11099
Autor:
Tirelli, Andrea, Carvalho, Danyella O., Oliveira, Lucas A., Lima, J. P., Costa, Natanael C., Santos, Raimundo R. dos
In this paper with study phase transitions of the $q$-state Potts model, through a number of unsupervised machine learning techniques, namely Principal Component Analysis (PCA), $k$-means clustering, Uniform Manifold Approximation and Projection (UMA
Externí odkaz:
http://arxiv.org/abs/2112.06735
Autor:
Prayogo, Genki I., Tirelli, Andrea, Utimula, Keishu, Hongo, Kenta, Maezono, Ryo, Nakano, Kousuke
A common approach for studying a solid solution or disordered system within a periodic ab-initio framework is to create a supercell in which a certain amount of target elements is substituted with other ones. The key to generating supercells is deter
Externí odkaz:
http://arxiv.org/abs/2111.13409
Autor:
Tirelli, Andrea, Costa, Natanael C.
Publikováno v:
Physical Review B 104, 235146 (2021)
We implement a computational pipeline based on a recent machine learning technique, namely the Topological Data Analysis (TDA), that has the capability of extracting powerful information-carrying topological features. We apply such a method to the st
Externí odkaz:
http://arxiv.org/abs/2109.09555
Akademický článek
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Autor:
Schedler, Travis, Tirelli, Andrea
We study the algebraic symplectic geometry of multiplicative quiver varieties, which are moduli spaces of representations of certain quiver algebras, introduced by Crawley-Boevey and Shaw, called multiplicative preprojective algebras. They are multip
Externí odkaz:
http://arxiv.org/abs/1812.07687
Autor:
Tirelli, Andrea
In this paper, we study the algebraic symplectic geometry of the singular moduli spaces of Higgs bundles of degree $0$ and rank $n$ on a compact Riemann surface $X$ of genus $g$. In particular, we prove that such moduli spaces are symplectic singular
Externí odkaz:
http://arxiv.org/abs/1701.07468
Autor:
Tirelli, Andrea1 (AUTHOR) atirelli@sissa.it, Carvalho, Danyella O.2 (AUTHOR), Oliveira, Lucas A.2,3 (AUTHOR), de Lima, José P.2 (AUTHOR), Costa, Natanael C.1,3 (AUTHOR), dos Santos, Raimundo R.3 (AUTHOR)
Publikováno v:
European Physical Journal B: Condensed Matter. Nov2022, Vol. 95 Issue 11, p1-12. 12p.