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Found 5 papers, 1 papers with code
Learning Image Representations for Content Based Image Retrieval of Radiotherapy Treatment Plans
To address these limitations, we propose a content based image retrieval (CBIR) method for retrieving dose distributions of previously planned patients based on anatomical similarity.
Purifying Deep Boltzmann Machines for Thermal Quantum States
We develop two cutting-edge approaches to construct deep neural networks representing the purified finite-temperature states of quantum many-body systems.
Strongly Correlated Electrons Disordered Systems and Neural Networks Statistical Mechanics Quantum Physics
Dirac-type nodal spin liquid revealed by refined quantum many-body solver using neural-network wave function, correlation ratio, and level spectroscopy
Pursuing fractionalized particles that do not bear properties of conventional measurable objects, exemplified by bare particles in the vacuum such as electrons and elementary excitations such as magnons, is a challenge in physics.
Strongly Correlated Electrons Disordered Systems and Neural Networks Statistical Mechanics Superconductivity Quantum Physics
Wannier90 as a community code: new features and applications
Wannier90 is an open-source computer program for calculating maximally-localised Wannier functions (MLWFs) from a set of Bloch states.
Materials Science Computational Physics
Constructing exact representations of quantum many-body systems with deep neural networks
It is based on the deep Boltzmann machine architecture, in which two layers of hidden neurons mediate quantum correlations among physical degrees of freedom in the visible layer.
Disordered Systems and Neural Networks Statistical Mechanics Strongly Correlated Electrons Computational Physics Quantum Physics
