APS March Meeting 2012
Volume 57, Number 1
Monday–Friday, February 27–March 2 2012;
Boston, Massachusetts
Session W34: Focus Session: Nano V: Nanoscale Materials and Properties II
11:15 AM–2:03 PM,
Thursday, March 1, 2012
Room: 107A
Sponsoring
Unit:
DCP
Chair: Shiv Khanna, Virginia Commonwealth University and Gabor Somorjai, UC Berkeley
Abstract ID: BAPS.2012.MAR.W34.1
Abstract: W34.00001 : In Quest of a Systematic Framework for Unifying and Defining Nanoscience*
11:15 AM–11:51 AM
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Abstract
Author:
Donald Tomalia
(NanoSynthons LLC)
A \textit{central paradigm driven, Mendeleev-like nano-periodic system} has been cited as a critical missing link in the transformation of
nanotechnology from an empirical to a highly predictive science. A
systematic framework is proposed based on the same first principles
underpinning ``central paradigms'' for chemistry/physics.\footnote{D.A. Tomalia, \textit{J. Nanopart. Res.} (2009), 11, 1251.} As such, a
\textbf{Nanomaterials Classification Roadmap} considers \textit{structure controlled} nanoparticles
defined by \textbf{Critical Nanoscale Design Parameters (CNDPs); }namely,
\textbf{size, shape, surface chemistry, flexibility, architecture and
elemental composition}. Classified as either \textbf{hard (H) (}inorganic) or
\textbf{soft (S) (}organic)\textbf{ nano-element categories}$, $these
nanoparticles (e.g., nano-clusters) generally manifest pervasive
\textbf{atom mimicry }features.\footnote{S.N. Khanna, A.W. Castleman, et al., \textit{PNAS }(2006), 103 (49), 18405.} Many literature examples demonstrate
chemical bonding/assembly of these nano-element categories to produce
extensive libraries of \textbf{hard-hard
[H}$_{n}$\textbf{:H}$_{n}$\textbf{], soft-soft
[S}$_{n}$\textbf{-S}$_{n}$\textbf{]or hard-soft
[H}$_{n}$\textbf{-S}$_{n}$\textbf{]} nano-element combinations, referred to
as \textbf{nano-compounds}. Due to their quantized CNDP features, these
nano-element/compounds exhibit many well-defined\textbf{ nano-periodic
property patterns}. These property patterns are observed in their intrinsic
physico-chemical properties (i.e., melting points, reactivity/self-assembly,
sterics), as well as important functional/ performance properties (i.e.,
magnetic, photonic, and electronic behavior). The importance of these CNDP
directed property patterns was recently demonstrated by publication of
\textbf{first Mendeleev-like nano-periodic tables} by Percec, et al.\footnote{V. Percec, et al., \textit{J. Am. Chem. Soc}. (2009), 131, 17500.}
Similarly, Mirkin, et al.\footnote{C.A. Mirkin, et al., \textit{Science }(2011), 334, 204.} recently reported six CNDP dependent
nano-periodic rules for predicting hard-soft nano-element assemblies. These
two independent reports appear to fulfill/validate this proposed
nano-periodic concept. This lecture will overview this unifying
\textbf{nano-periodic system }suitable for tuning optimal
nanostructure/application properties, as well as predicting important
risk/benefit/performance boundaries in the nanoscience field.
*NSF
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2012.MAR.W34.1