TY - JOUR
T1 - Oxide surfaces with tunable stiffness
AU - Gotlib-Vainshtein, Katya
AU - Girshevitz, Olga
AU - Sukenik, Chaim N.
AU - Barlam, David
AU - Kalfon-Cohen, Estelle
AU - Cohen, Sidney R.
PY - 2013/10/31
Y1 - 2013/10/31
N2 - An important challenge of modern materials science and nanoscience is to develop ways to alter the mechanical properties of an interface in a controlled fashion. Doing this while preserving the bulk properties of a material and maintaining a fixed chemical composition and reactivity of the interface is particularly attractive. In this work, the creation of substrates with tunable stiffness has been achieved by coating a soft polymer with an adherent, crack-free oxide overlayer whose thickness is varied from 8 to 70 nm. Specifically, amorphous titania with controlled, variable, thickness was deposited on polydimethylsiloxane (PDMS), and the surface mechanical properties were characterized using atomic force microscope (AFM)-based nanoindentation. The force/deformation curves can be quantitatively reproduced using a finite element analysis (FEA) modeling protocol. The FEA modeling facilitates predictability and enables the design of surfaces with independently customized chemical and mechanical properties.
AB - An important challenge of modern materials science and nanoscience is to develop ways to alter the mechanical properties of an interface in a controlled fashion. Doing this while preserving the bulk properties of a material and maintaining a fixed chemical composition and reactivity of the interface is particularly attractive. In this work, the creation of substrates with tunable stiffness has been achieved by coating a soft polymer with an adherent, crack-free oxide overlayer whose thickness is varied from 8 to 70 nm. Specifically, amorphous titania with controlled, variable, thickness was deposited on polydimethylsiloxane (PDMS), and the surface mechanical properties were characterized using atomic force microscope (AFM)-based nanoindentation. The force/deformation curves can be quantitatively reproduced using a finite element analysis (FEA) modeling protocol. The FEA modeling facilitates predictability and enables the design of surfaces with independently customized chemical and mechanical properties.
UR - http://www.scopus.com/inward/record.url?scp=84887168511&partnerID=8YFLogxK
U2 - 10.1021/jp4000335
DO - 10.1021/jp4000335
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AN - SCOPUS:84887168511
SN - 1932-7447
VL - 117
SP - 22232
EP - 22239
JO - Journal of Physical Chemistry C
JF - Journal of Physical Chemistry C
IS - 43
ER -