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Simulation-Based Applied Sciences - SBAS Prof. Pekka Neittaanmäki 14.10.2010 Computer simulation is a key element of scientific and technological progress. Computer simulation refers to applications of computational models to the study and prediction of physical, biological or economical events and the behavior of engineering systems. SBAS constitutes a new paradigm that will be indispensable in meeting the scientific and engineering challenges of XXI century. Computer simulation has become indispensable in predictive methods for weather, climate change, and behavior of the atmosphere, and in broad areas of engineering analysis and optimal design. The great importance and potential of computer simulation have not gone unnoticed by our competitors around the world. 2 It defines as a discipline that provides the scientific and mathematical basis for the simulation of physical, chemical, biological and engineering systems. It fuses the knowledge and techniques of the traditional engineering fields: electrical, mechanical, civil, chemical, aerospace, nuclear, biomedical, and material science, with the knowledge and techniques of fields like computer science, mathematics and physical, chemical and social sciences. 3 Computer Science Informatics SBAS Mathematics Scientific and engineering disciplines □ suggests and makes credible THEORY EXPERIMENT □ suggests and interprets experiments provides results □ suggests □ suggests theorytheories □ performs computing interprets results □ generates data □ suggests experiments □ controls testing equipment □ data analysis □ high performance computing □ models real processes COMPUTER MODELLING SIMULATION 5 The means to understand and control multi-scale, multi-physics phenomena. Fundamental developments in nanotechnology, biomedicine, materials, energy and environment, and the earth and life sciences. Dramatic enhancements to the fidelity and utility of computational predictions. Significant improvements in the health, security, competitiveness and wealth of European nations. 6 Revolutionize the way of conceiving and performing simulation by learning how to incorporate new discoveries that simplify and enhance multi-scale, multi-disciplinary simulations. Make significant advances in the supporting technologies, including large-scale computing, data management and algorithms. Overhaul European educational institutions to accommodate the needs of SBAS research and training. Change the manner in which research is funded and conducted in Europe. 7 Biology and medicine Physics, chemistry and astronomy Mechanics and material sciences Energy and the environment Predictive homeland security Economy and social sciences Industrial and defense applications 8 The tyranny of scales: the challenge of multiscale modelling and simulations. Verification, validation and uncertainty quantification. Dynamic simulation systems. New vistas in simulation software. Big data simulations and visualization in SBAS. Next-generation algorithms and computational performance. 9 Meaningful advances in SBAS requires dramatic changes in science and engineering education. Interdisciplinary education in computational science and computing technology must be greatly improved. Interdisciplinary programs in computational science must be encouraged and traditional boundaries between disciplines in higher education must be made pervious to the exchange of information between discipline scientists working within multidisciplinary research teams. 10 Computer modelling and simulations will allow us to explore natural events, engineering, social and economical systems that have long defied analysis, measurement, and experimental methodologies. In effect, empirical assumptions will be replaced by science-based computational models. Computer modelling and simulation will have applications across technologies – from microprocessors to the infrastructure of cities. These new technologies will be effective systems for security of European nations . And will lay the groundwork for entire technologies that are only now emerging as possibilities. Computer modelling and simulation will enable us to design and manufacture materials and products on a more scientific basis less trial and error and shorter design cycles. 11 Computer modelling and simulation will greatly improve our ability to predict outcomes and optimize solutions before committing resources to specific designs and decisions. Computer modelling and simulation will expand our ability to cope with problems that have been too complex for traditional methods (e.g. multiple scales of length and time, multiple physical processes,, unknown levels of uncertainties). Computer modelling and simulation will introduce tools and methods that apply across all engineering disciplines: electrical, computer, mechanical, civil, chemical, aerospace, nuclear, biomedical, and material sciences. 12 There is a need of changes in the Framework Programme and ERC activities to facilitate long-range core funding SBAS. One should increase in funding levels of SBAS-related disciplines. A long-term program of high-risk research to exploit the considerable promise of SBAS. ECCOMAS recommends to explore the possibility of initiating a sweeping overhaul of European engineering educational system to reflect the multidisciplinary nature of modern engineering and to help students the necessary modelling and simulation skills. 13 One should prepare short descriptions of benefits of applying SBAS in: - Biology and medicine - Physics, chemistry and astronomy - Mechanics and material sciences - Energy and the environment - Predictive homeland security - Economy and social sciences - Industrial and defense applications The White Paper should be ready in Autumn 2010 Proposals concerning the substance of the White Paper and organizing suggestions are nice needed and expected. 14 FP-8: The best period of spreading the report is the end of 2010 and the beginning of 2011. ERC: Prof. M.Kleiber (the member of the ERC Scientific Council) has promised to help in propagating the report in ERC. It is possible to arrange some informal meetings with EU officials and/or organize an ECCOMAS Workshop on SBAS (e.g. in Brussels). 15 Report of NSF, 2006 16 WTEC Panel Report, 2009 17 JYVÄSKYLÄN YLIOPISTO Supervising on PhD students and research activity Professor Pekka Neittaanmäki University of Jyväskylä 14.10.2010 JYVÄSKYLÄN YLIOPISTO Principles Family model in supervision – Grandfather, father, children, relatives Trust, not small details PhD student should know more than supervisor and the end of the process In research groups with industry, other institutions and foreign groups Motivation, career planning, encouragement, commitment (both sides) All the time new things, solving challenging problems JYVÄSKYLÄN YLIOPISTO Results 58 PhDs during 1988-2010 (about 25 of them together with more than foreign top level professors) 25 new PhD students Career after PhD, 16 professors, 15 faculty members, 27 in industry JYVÄSKYLÄN YLIOPISTO Research interests 20101. Dynamical systems – theory, numeric, applications – two groups – 6 PhD students – 1 postdoc – 3 visiting professors 2. Modelling and simulating of nanostructures, scattering problems – – – 2 PhD students 3 postdoc 3 visiting professors 1/3 JYVÄSKYLÄN YLIOPISTO Research interests 2010- 2/3 3. Reliable computing – 3 PhD students – 1 visiting professor 4. Optimal control and design – 2 PhD students – 4 visiting professors, one FiDiPro 5. High dimensional data, security, machine health care, automatic diagnostics – – 4 PhD students 2 visiting professors JYVÄSKYLÄN YLIOPISTO Research interests 20106. New applications of mobile phones – 4 PhD students – industrial collaboration 7. Innovative learning environments – 4 PhD students – 3 visiting professors/researchers 3/3