Simulation based engineering science

The anticipated benefits of multiscale simulation to society are substantial. For example, the NSF Blue Ribbon Panel report on Simulation-based Engineering Science (http //www.nsf.gov/pubs/reports/sbes final report.pdf) describes benefits of accurate predictions for multiscale systems which include ... 

PuEL, F., Fevotte, G. Klein, J. P. 2003a Simulation and analysis of industrial crystallization processes through multidimensional population balance equations. Part 1 a resolution algorithm based on the method of classes. Chemical Engineering Science 58, 3715-3727. 

Abele E, Fujara M, Schafer D (2011) Holistic approach for a simulation-based twist drill geometry optimization. Proceedings of the ASME 2011 International Manufacturing Science and Engineering Conference, MSEC2011, Corvallis, USA... 

Andres, M. B., Chen, Z., Grace, J. R., Elnashaie, S. S. E. H., Jim Lim, C., Rakib, M., et al. (2009). Comparison of fluidized bed flow regimes for steam methane reforming in membrane reactors a simulation study. Chemical Engineering Science, 64, 3598—3613. Ayturk, M. E., Kazantzis, N. K., Ma, Y. H. (2009). Modeling and performance assessment of Pd- and Pd/Au-based catalytic membrane reactors for hydrogen production. Energy Environmental Science, 2, 430—438. 

Hsiao, K.-T, Devillard, M. and Advani, S. G. (2004), Simulation based flow distribution network optimization for vacuum assisted resin transfer molding process . Modeling and Simulation in Materials Science and Engineering, 12(3), S175-S190. DOI 10.1088/0965-0393/12/3/S08. 

Di Renzo, A. Di Maio, F.P. (2004) Comparison of contact-force models for the simulation of collisions in DEM-based granular flow codes. Chemical Engineering Science 59, 525-541. 

H.-C. Schwarzer, F. Schwertfirm, M. Manhart, H.-J. Schmid, and W. Peukert, Predictive simulation of nanoparticle precipitation based on the population balance equation. Chemical Engineering Science, 61 (1), 167-181, 2006. 

Computational chemistry courses, interdisciphnary computational science courses, software engineering (not just programming), test problems and design case studies, support for software maintenance, modeling- and simulation-based courses top two issues modehng-and-simulation course, and mathematics training... 

Mano, J. F., Reis, R. L. (2004). Viscoelastic monitoring of starch-based biomaterials in simulated physiological conditions. Materials Science and Engineering A, 370, 321-325. 

A fundamentally different type of simulation is offered by science-based learning environments. Such environments incorporate some general-purpose mathematical engine that either represents nature directly or that can be programmed to represent nature. Examples are Mathematica (7) and some similar programs (8-9) for general analytical modeling in the physical sciences and Interactive Physics for introductory classical mechanics (10). Mathematica and Interactive Physics can be applied to countless topics, as opposed to the narrow focus of Flash-based simulations. Even more importantly, Mathematica and Interactive Physics are open-ended in that the software may accommodate unscripted inquiries and follow-up questions. 

Lu, B., EMMS-based Meso-Scale Model and Its Application in Simulating Gas-Solid Two-Phase Flows, Ph.D. thesis (in Chinese), Institute of Process Engineering, Chinese Academy of Sciences, Beijing (2009). 

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