Simulations aim to unlock nature's process of biomineralization
Heinz accesses Ohio Supercomputer Center to study organic-inorganic bonding
Hendrik Heinz, Ph.D., an assistant professor of polymer engineering at UA, is accessing the systems of the Ohio Supercomputer Center (OSC) to study the process of biomineralization, nature's ability to form complex structures, such as bones, teeth and mollusk shells, from peptides.
"Research in our group aims at the understanding of complex interfacial phenomena, particularly biomineralization and organic photovoltaics, at the molecular scale using computer simulation," said Heinz.
"Simulation with atomistic and coarse-grain models and the development of computational tools goes hand in hand with collaborative experimental efforts."
"Advanced materials remains one of the cornerstones of research supported by the Ohio Supercomputer Center and is fundamental to both the economic legacy and future prospects for the State of Ohio," noted Ashok Krishnamurthy. "OSC is committed to providing state-of-the-art computational and storage resources to scientists, such as Dr. Heinz, who are focused on the design of fascinating new classes and applications of materials."
In a recent paper published by Interface, Heinz describes how induced charges modify the interaction of proteins, peptides and bond-enhancing surfactants with metal surfaces. In another recent article, published in the Journal of the American Chemical Society, Heinz explains how he used molecular dynamics simulations to investigate molecular interactions involved in the selective binding of several short peptides to the surfaces of gold, palladium and a palladium-gold bimetal.
"Advances in materials science such as in biomedical and energy conversion devices increasingly rely on computational techniques and modeling," Heinz said. "In particular, interfaces at the nanoscale are difficult to characterize experimentally, such as charge transport mechanisms in solar cells, the formation of biominerals, and self-assembly of polymers in multi-component materials. Model building and simulation are critical to understand dynamic processes across the length and time scales."
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