GERIS '16 March 7, 8, and 9, 2016 Binghamton University, Binghamton, NY
Abstract: Lattice Percolation Approach to Numerical Modeling of Self-Healing and Self-Damaging Materials, and Tissue Aging
We review recent results on applying lattice percolation type modeling approaches to autonomous self-healing and self-damaging in “smart” composite materials, when these processes are controlled by activation of added nanosize “healing” or “damaging” capsules. Percolation-type modeling is used to investigate the behavior of the onset of material’s fatigue. We also describe applications of similar modeling ideas to the processes of aging and certain other properties of tissues analyzed as systems consisting of interacting cells. Statistical-mechanics description can provide patterns of time dependence and snapshots of morphological system properties. For example, the developed theoretical modeling approach confirms recent experimental findings that inhibition of cell senescence can lead to extended lifespan. (For additional information, see www.clarkson.edu/Privman.)
Vladimir Privman received his D.Sc. degree in Physics in 1982 at Technion – Israel Institute of Technology. After postdoc positions at Cornell, 1982-1984, and at Caltech, 1984-1985, he assumed a faculty position at Clarkson University, 1985. He authored over 240 research papers, 3 books, over 20 major reviews, received several honors and recognitions, held Royal Society Senior Guest Research Fellowship during a sabbatical at University of Oxford, England, 1991-1992, and served as Chair of the Physics Department at Clarkson University during 1996-1999. He is a Fellow of American Physical Society and presently holds the Robert A. Plane Endowed Chair professorship, and directs Center for Innovative Device Technologies. His research interests span broad areas of nanotechnology and information technology, including synthesis of colloids and nanoparticles; materials science, including bio-inspired concepts in materials; unconventional information processing; biosensing; physics of semiconductor nanodevices, spintronics, quantum computing; statistical mechanics, surface and polymer science.