“Beyond Nano: The Challenges and Opportunities of Mesoscale Science

Tuesday, April 15, 2014 - 3:45pm

The Department of Materials Science and Engineering presents:
Beyond Nano:
The Challenges and Opportunities of Mesoscale Science

Roger H. French, PhD
F. Alex Nason Professor

Mesoscale sciencedata science and analytics (ref. 1) focuses on addressing the frontiers of complex systems, between quantum and classical, nano and macro, and across the four dimensions of space and time. Nanoscience continues to advance, and multi-scale approaches are used to bridge orders of magnitude in length scales, and ultrafast science has opened attosecond processes to study. The challenge of mesoscale science is to study larger systems in their true complexity, not just in their mean or average behavior, so that we can organize and integrate functionalities to achieve macroscale benefits for society. This challenge can draw upon the advances in reference 2, as a complement to high performance computing, to augment our scientific methods, accessing new data sources, and developing new un-biased analytics for our studies.

Fluctuations, disorder and degradation in mesoscale systems focuses on the time domain and spans 1024 orders of magnitude from fluctuations and disorderdegradation pathways (ref. 3), to dynamics, to degradation over lifetime. Mesoscopic systems represent one of the fundamental challenges for mesoscale science to elucidate reference 4, enabling development and control of systems with functionality imparted at multiple length and time scales.


  1. Hemminger, J. From Quanta to the Continuum: Opportunities for Mesoscale Science, US. DOE Basic Energy Sciences Advisory Committee Report.http://science.energy.gov/~/media/bes/pdf/reports/files/OFMS_rpt.pdf
  2. Hu, Y.; Hosain, M. A.; Jain, T.; Gunapati, Y. R.; Elkin, L.; Zhang, G. Q.; French, R. H. Global SunFarm Data Acquisition Network, Energy CRADLE, and Time Series Analysis. In 2013 IEEE Energytech; 2013; pp. 1–5.
  3. French, R.H.; Parsegian, V.; Podgornik, R.; et. al, Long Range Interactions in Nanoscale Science. Reviews of Modern Physics; 2010, 82, 1887–1944.
  4. Bruckman, L. S.; Wheeler, N. R.; Ma, J.; Wang, E.; Wang, C. K.; Chou, I.; Sun, J.; French, R. H. Statistical and Domain Analytics Applied to PV Module Lifetime and Degradation Science. IEEE Access 2013, 1, 384–403.


Refreshments served at 3:45 pm.

Questions? Contact Patsy Harris patsy@case.edu.


Tuesday, April 15
Nord 410
Department of Materials Science & Engineering
Case Western Reserve University
Cleveland, OH 44106