
Ramón L. Panadés-BarruetaTechnische Universität Dresden | TUD · Theoretische Chemie
Ramón L. Panadés-Barrueta
PhD
Developing low-scaling GW algorithms
About
11
Publications
1,052
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23
Citations
Citations since 2017
Introduction
Ph.D. in Physics, specializing in Theoretical and Computational Chemistry. Expertise in low-scaling GW methods for core level spectroscopy, quantum Monte Carlo and nuclear quantum dynamics with the MCTDH algorithm.
Additional affiliations
October 2018 - January 2019
September 2013 - September 2016
Higher Institute of Technologies and Applied Sciences (InSTEC)
Position
- Undergraduate teaching assistant
Description
- Math Analysis and Linear Algebra
Education
October 2020 - December 2020
October 2017 - October 2020
September 2016 - July 2017
Publications
Publications (11)
In this work, we analyze and compare different possible strategies for the transformations among low-rank (i.e., few number of terms) tensor approximations. The motivation behind this is to achieve compact yet accurate representations of potential-like operators (scalar fields) in symbolic or analytical form. We do this analysis from a formal and f...
In recent years, the GW method has emerged as a reliable tool for computing core-level binding energies. The contour deformation (CD) technique has been established as an efficient, scalable, and numerically stable approach to compute the GW self-energy for deep core excitations. However, core-level GW calculations with CD face the challenge of hig...
In recent years, the GW method has emerged as a reliable tool for computing core-level binding energies. The contour deformation (CD) technique has been established as an efficient, scalable, and numerically stable approach to compute the GW self-energy for deep core excitations. However, core-level GW calculations with CD face the challenge of hig...
In the present work, we introduce a simple means of obtaining an analytical ( i.e. grid-free) canonical polyadic (CP) representation of a multidimensional function which is expressed in terms of a set of discrete data. For this, we make use of an initial CP guess, even not fully converged, and a set of auxiliary basis functions (finite basis repres...
We show that recently developed quantum Monte Carlo methods, which provide accurate vertical transition energies for single excitations, also successfully treat double excitations. We study the double excitations in medium-sized molecules, some of which are challenging for high-level coupled-cluster calculations to model accurately. Our fixed-node...
We show that recently developed quantum Monte Carlo methods, which provide accurate vertical transition energies for single excitations, also successfully treat double excitations. We study the double excitations in medium-sized molecules, some of which are challenging for high level coupled-cluster calculations to model accurately. Our fixed-node...
The sum-of-products finite-basis-representation (SOP-FBR) approach for the automated multidimensional fit of potential energy surfaces (PESs) is presented. In its current implementation, the method yields a PES in the so-called Tucker sum-of-products form, but it is not restricted to this specific ansatz. The novelty of our algorithm lies in the fa...
We present Specific Reaction Parameter Multigrid POTFIT (SRP-MGPF), an automated methodology for the generation of global potential energy surfaces (PES), molecular properties surfaces, e.g. dipole, polarizabilities, etc. using a single random geometry as input. The SRP-MGPF workflow integrates: (i) a fully automated procedure for the global topogr...
We aim at simulating full quantum mechanically (nuclei and electrons) the processes of adsorption and photoreactivity of NO2 adsorbed on soot (modeled as large Polycyclic Aromatic Hydrocarbons, PAHs) in atmospheric conditions. A detailed description of these processes is necessary to understand the differential day-nighttime behavior of the product...
The SiO molecule is the most widespread silicon-bearing molecule in the interstellar medium. Its largest abundances are found in regions of star formation, whereas its abundance is very low in quiescent cold dark clouds. The major source of SiO in the "shock" regions of the interstellar medium is the reaction Si(³P) + OH(X²Π) - SiO(X¹Σ⁺) + H(²S), h...