Add to ORKGMADNESS (multiresolution adaptive numerical environment for scientific simulation) is a high-level software environment for solving integral and differential equations in many dimensions that uses adaptive and fast harmonic analysis methods with guaranteed precision that are based on multiresolution analysis and separated representations. Underpinning the numerical capabilities is a powerful petascale parallel programming environment that aims to increase both programmer productivity and code scalability. This paper describes the features and capabilities of MADNESS and briefly discusses some current applications in chemistry and several areas of physics
Abstract. We present and discuss a framework for computer-aided multiscale analysis, which enables m...
Molecular Dynamics (MD) is a powerful tool for the atomistic understanding of longrange stress-media...
Physics simulation computationally models physical phenomena. It is the bread-and-butter of modern-d...
MADNESS (multiresolution adaptive numerical environment for scientific simulation) is a high-level s...
International audienceThis paper describes the design and implementation of a layered domain-specifi...
We develop scalable algorithms and object-oriented code frameworks for terascale scientific simulati...
The next frontier in numerical simulation involves multi-physics, multi-scale, multi-discipli-nary p...
From careful observations, scientists derive rules to describe phenomena in nature. These rules are ...
Multiscale modeling and computation is a rapidly evolving area of research that will have a fundamen...
International audienceNearly every numerical analysis algorithm has computational complexity that sc...
We present a flexible and efficient framework for multiscale modeling in computational chemistry (Mi...
In the recent past, the field of scientific computing has become of more and more importance for sci...
In the early days of numerical simulations, advances were based on the ingenuity of pioneer scientis...
This thesis covers interactive physically based simulation for applications such as computer games o...
The state of the art for computational tools in both computational chemistry and computational mater...
Abstract. We present and discuss a framework for computer-aided multiscale analysis, which enables m...
Molecular Dynamics (MD) is a powerful tool for the atomistic understanding of longrange stress-media...
Physics simulation computationally models physical phenomena. It is the bread-and-butter of modern-d...
MADNESS (multiresolution adaptive numerical environment for scientific simulation) is a high-level s...
International audienceThis paper describes the design and implementation of a layered domain-specifi...
We develop scalable algorithms and object-oriented code frameworks for terascale scientific simulati...
The next frontier in numerical simulation involves multi-physics, multi-scale, multi-discipli-nary p...
From careful observations, scientists derive rules to describe phenomena in nature. These rules are ...
Multiscale modeling and computation is a rapidly evolving area of research that will have a fundamen...
International audienceNearly every numerical analysis algorithm has computational complexity that sc...
We present a flexible and efficient framework for multiscale modeling in computational chemistry (Mi...
In the recent past, the field of scientific computing has become of more and more importance for sci...
In the early days of numerical simulations, advances were based on the ingenuity of pioneer scientis...
This thesis covers interactive physically based simulation for applications such as computer games o...
The state of the art for computational tools in both computational chemistry and computational mater...
Abstract. We present and discuss a framework for computer-aided multiscale analysis, which enables m...
Molecular Dynamics (MD) is a powerful tool for the atomistic understanding of longrange stress-media...
Physics simulation computationally models physical phenomena. It is the bread-and-butter of modern-d...