Lab Home | Phone | Search
Center for Nonlinear Studies  Center for Nonlinear Studies
 Home 
 People 
 Current 
 Executive Committee 
 Postdocs 
 Visitors 
 Students 
 Research 
 Publications 
 Conferences 
 Workshops 
 Sponsorship 
 Talks 
 Seminars 
 Postdoc Seminars Archive 
 Quantum Lunch 
 Quantum Lunch Archive 
 P/T Colloquia 
 Archive 
 Ulam Scholar 
 
 Postdoc Nominations 
 Student Requests 
 Student Program 
 Visitor Requests 
 Description 
 Past Visitors 
 Services 
 General 
 
 History of CNLS 
 
 Maps, Directions 
 CNLS Office 
 T-Division 
 LANL 
 
Friday, May 13, 2016
2:00 PM - 3:00 PM
CNLS Conference Room (TA-3, Bldg 1690)

Seminar

Thermodynamic cycle of catalytic nanoparticle morphology driven by carbon nanostructure growth

Michael Zwolak
National Institute of Standards and Technology

The controlled formation of carbon nanostructures is key to the reliable production of carbon-based device components in, e.g., electronics, filtration, and composite materials. The conditions for synthesis, including how the catalytically active region evolves over time, determines structure, yield, and purity of the final products. In chemical vapor deposition – the most common mode of synthesis of carbon structures – elongation and contraction of catalytic nanoparticles occurs, as was first reported more than a decade ago. Here, we demonstrate using in situ, real-time imaging and modeling that catalytic nanoparticles are driven through a thermodynamic cycle of elongation and contraction. As a tubular structure grows, the particle elongates due to a favorable metal-carbon interaction that overrides the increased surface energy of the metal. The formation of subsequent nested tubes, however, drives up the surface energy relative to the interaction energy until the overall free energy balance becomes unfavorable, and then the particle exits the tube and the cycle repeats. Since the particle reshaping is universal for different metals, particle sizes, carbon structures, etc., our quantitative approach – including predictive expressions – helps unravel the different observations and brings us closer to practical optimization of these processes for desired end products.

Host: Kirill A Velizhanin