2 citations · 2 across the 3 of their papers we have counts for
5 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…
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…
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…