The ongoing progress in (nuclear) many-body theory is accompanied by an ever-rising increase in complexity of the underlying formalisms used to solve the stationary Schrödinger equation. The associated working equations at play in state-of-the-art ab initio nuclear many-body methods can be analytically reduced with respect to angular-momentum, i.e. SU(2), quantum numbers whenever they are effectively employed in a symmetry-restricted context. The corresponding procedure constitutes a tedious and error-prone but yet an integral part of the implementation of those many-body frameworks. Indeed, this symmetry reduction is a key step to advance modern simulations to higher accuracy since the use of symmetry-adapted tensors can decrease the compu...
We analyze microscopic many-body calculations of the nuclear symmetry energy and its density depende...
Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such...
This volume of lecture notes briefly introduces the basic concepts needed in any computational physi...
International audienceThe ongoing progress in (nuclear) many-body theory is accompanied by an ever-r...
The ongoing progress in (nuclear) many-body theory is accompanied by an ever-rising increase in comp...
Understanding and classifying phases of matter is a vast and important area of research in modern ph...
Tensor network decompositions offer an efficient description of certain many-body states of a lattic...
The benefits of exploiting the presence of symmetries in tensor network algorithms have been extensi...
Tensor network decompositions offer an efficient description of certain many-body states of a lattic...
© 2019, Società Italiana di Fisica / Springer-Verlag GmbH Germany, part of Springer Nature. The solu...
International audienceBackground: The computational resources needed to generate the ab initio solut...
The solution of the nuclear A -body problem encounters severe limitations from the size of many-body...
© 2019 American Physical Society. Background: The computational resources needed to generate the ab ...
This paper is a manual with tips and tricks for programming tensor network algorithms with global SU...
Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such...
We analyze microscopic many-body calculations of the nuclear symmetry energy and its density depende...
Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such...
This volume of lecture notes briefly introduces the basic concepts needed in any computational physi...
International audienceThe ongoing progress in (nuclear) many-body theory is accompanied by an ever-r...
The ongoing progress in (nuclear) many-body theory is accompanied by an ever-rising increase in comp...
Understanding and classifying phases of matter is a vast and important area of research in modern ph...
Tensor network decompositions offer an efficient description of certain many-body states of a lattic...
The benefits of exploiting the presence of symmetries in tensor network algorithms have been extensi...
Tensor network decompositions offer an efficient description of certain many-body states of a lattic...
© 2019, Società Italiana di Fisica / Springer-Verlag GmbH Germany, part of Springer Nature. The solu...
International audienceBackground: The computational resources needed to generate the ab initio solut...
The solution of the nuclear A -body problem encounters severe limitations from the size of many-body...
© 2019 American Physical Society. Background: The computational resources needed to generate the ab ...
This paper is a manual with tips and tricks for programming tensor network algorithms with global SU...
Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such...
We analyze microscopic many-body calculations of the nuclear symmetry energy and its density depende...
Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such...
This volume of lecture notes briefly introduces the basic concepts needed in any computational physi...