31 citations · 66 across the 10 of their papers we have counts for
10 papers
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
Jordan Hoffmann, Louis Maestrati, Yoshihide Sawada +3
Generative models have achieved impressive results in many domains including image and text generation. In the natural sciences, generative models have led to rapid progress in aut…
Could the Hilbert Space Be a Smaller Place? A Neural Network Perspective
Jean Michel Sellier
In quantum many-body problems, one of the main difficulties comes from the description of non-negligible interactions which require, at least in principle, an exponential amount of…
Combining neural networks and signed particles to simulate quantum systems more efficiently, Part II
Jean Michel Sellier, Jacob Leygonie, Gaetan Marceau Caron
Recently the use of neural networks has been introduced in the context of the signed particle formulation of quantum mechanics to rapidly and reliably compute the Wigner kernel of…
Combining Neural Networks and Signed Particles to Simulate Quantum Systems More Efficiently
Jean Michel Sellier
Recently a new formulation of quantum mechanics has been suggested which describes systems by means of ensembles of classical particles provided with a sign. This novel approach ma…
A Study of Entangled Systems in the Many-Body Signed Particle Formulation of Quantum Mechanics
Jean Michel Sellier, K. G. Kapanova
Recently a new formulation of quantum mechanics has been introduced, based on signed classical field-less particles interacting with an external field by means of only creation and…
On the Hydrogen Atom Beyond the Born-Oppenheimer Approximation
Jean Michel Sellier, K. G. Kapanova
Recently a new formulation of quantum mechanics has been suggested which is based on the concept of signed particles, that is, classical objects provided with a position, a momentu…
Designing a High Performance Parallel Personal Cluster
K. G. Kapanova, J. M. Sellier
Today, many scientific and engineering areas require high performance computing to perform computationally intensive experiments. For example, many advances in transport phenomena,…
On randomization of neural networks as a form of post-learning strategy
K. G. Kapanova, I. Dimov, J. M. Sellier
Today artificial neural networks are applied in various fields - engineering, data analysis, robotics. While they represent a successful tool for a variety of relevant applications…
A Signed Particle Formulation of Non-Relativistic Quantum Mechanics
Jean Michel Sellier
A formulation of non-relativistic quantum mechanics in terms of Newtonian particles is presented in the shape of a set of three postulates. In this new theory, quantum systems are…
Archimedes, the Free Monte Carlo simulator
Jean Michel D. Sellier
Archimedes is the GNU package for Monte Carlo simulations of electron transport in semiconductor devices. The first release appeared in 2004 and since then it has been improved wit…