Computational e-Science: Studying complex systems in silico. A National Coordinated Initiative. White Paper.
Year: 2007
Type: report
Abstract: The vision of the National Coordinated Initiative 'Computational e-Science' is to advance innovative, interdisciplinary research where complex multi-scale, multi-domain problems in science and engineering are solved on distributed systems, integrating sophisticated numerical methods, computation, data, networks, and novel devices.We aim to become one of the world-leaders in the field of computational e-science.We will build on the impressive results obtained from previous NWO programs and the (new) Dutch infrastructural programs that focused on understanding through modeling and simulation of interdisciplinary, multi-domain, multi-scale processes in science and engineering.Computational e-science enhances theoretical and experimental progress in many areas of science critical to the scientific and societal needs of the 21 st century.It is the field of study concerned with constructing mathematical models and numerical techniques and using computers to analyze and solve complex scientific and engineering problems.Successes have been documented in areas such as biotechnology (e.g., genomics, cellular dynamics), advanced energy systems (e.g., fuel cells, fusion, alternative energy), nanotechnology (e.g., sensors, storage devices), and environmental modeling (e.g., climate prediction, pollution remediation, flood prediction).Computational science offers the best near-term hope for progress in answering many scientific questions in such disparate areas as the fundamental structure of matter, the functions of enzymes, the production of heavy elements in supernovae and the spread of infectious diseases.This National Coordinated Initiative will bring together Dutch top experts in the fields of computer science, numerical mathematics, astrophysics and astronomy, bioinformatics, physics and chemistry.
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2142058377