Subramanian K.R.S. Sankaranarayanan, Argonne
October 30, 2014
Argonne National Lab, TCS Building 240, Room 5172

Abstract: Nanomaterials exhibiting complex multi-property behavior and response have become important in key technological areas including solar conversion, energy storage, efficient electronics, medicine, and sensing. In functional devices employing these nanomaterials, it is critical to identify the structure-functionality correlation for an ensemble of nanoparticles.

Olle Heinonen, Argonne
October 23, 2014
Argonne National Lab, TCS Building 240, Room 5172

Abstract: Advancements in computer hardware, software, and algorithms has led to the ability to simulate much larger systems using atomistic methods such as density functional theory-based electronic structure calculations or molecular dynamics. Nevertheless, these methods are in general still not able to model materials on the mesoscale, that is, on length scales ranging from some tens of nanometers to microns and beyond.

Anna Goldenberg, University of Toronto
October 17, 2014
University of Chicago, Searle 240A

Combining multiple types of measurements to create a comprehensive view of a given disease or a biological process has become an important computational challenge. In this talk I will introduce Similarity network fusion (SNF) to integrate genomic and other types of data for the same set of subjects or objects. For a given disease, SNF  solves the integration problem by constructing networks of patients for each available data type and then efficiently fusing these into one network that represents the full spectrum of the underlying data.

Charlie Catlett
October 16, 2014
Advanced Photon Source Auditorium, Argonne

Argonne National Laboratory is pleased to present the latest edition of Argonne OutLoud, the lab's free public lecture series:
"Computation, Big Data, and the Future of Cities"

Featuring Charlie Catlett, Senior Computer Scientist at Argonne National Laboratory and Director of the Urban Center for Computation and Data (UrbanCCD) at the Computation Institute of the University of Chicago and Argonne National Laboratory

Juan de Pablo, Institute for Molecular Engineering, University of Chicago
October 16, 2014
University of Chicago, Searle 240A, 5735 S. Ellis Ave. This talk will be broadcast via Adobe Connect

Directed copolymer assembly (DCA) has emerged as a promising alternative for patterning at sub-lithographic length scales. The basic idea is to control the self-assembly of multiblock polymers through the application of external fields, surface patterns, and processing conditions. By employing materials whose characteristic dimensions are smaller than those of canonical features encountered in semiconductor devices, it is possible to integrate self-assembling systems into existing manufacturing processes, thereby increasing resolution at modest expense.