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1. Campus P–16 STEM Education Outreach


CADENS: The Centrality of Advanced Digitally Enabled Science

National Science Foundation Award #1445176
Donna Cox
Art & Design
Dates: October 1, 2014–September 30, 2017 (Estimated)

Computational data science is at a turning point in its history. Never before has there been such a challenge to meet the growing demands of digital computing, to fund infrastructure and attract diverse, trained personnel to the field. The methods and technologies that define this evolving field are central to modern science. In fact, advanced methods of computational and data-enabled discovery have become so pervasive that they are referred to as paradigm shifts in the conduct of science. A goal of this Project is to increase digital science literacy and raise awareness about the Centrality of Advanced Digitally ENabled Science (CADENS) in the discovery process. Digitally enabled scientific investigations often result in a treasure trove of data used for analysis. This project leverages these valuable resources to generate insightful visualizations that provide the core of a series of science education outreach programs targeted to the broad public, educational and professional communities. From the deep well of discoveries generated at the frontiers of advanced digitally enabled scientific investigation, this project will produce and disseminate a body of data visualizations and scalable media products that demonstrate advanced scientific methods. In the process, these outreach programs will give audiences a whole new look at the world around them. The project calls for the production and evaluation of two principal initiatives. The first initiative, HR (high-resolution) Science, centers on the production and distribution of three ultra-high-resolution digital films to be premiered at giant screen full-dome theaters; these programs will be scaled for wide distribution to smaller theaters and include supplemental educator guides. The second initiative, Virtual Universe, includes a series of nine high-definition (HD) documentary programs. Both initiatives will produce and feature data visualizations and the CADENS narratives to support an integrated set of digital media products. The packaged outreach programs will be promoted and made available to millions through established global distribution channels. Expanding access to data visualization is an essential component of the Project. Through a call for participation (CFP), the Project provides new opportunities for researchers to work with the project team and technical staff for the purpose of creating and broadly distributing large-scale data visualizations in various formats and resolutions. The project will feature these compelling, informative visualizations in the outreach programs described above. A Science Advisory Committee will participate in the CFP science selections and advise the Project team. The project calls for an independent Program Evaluation and Assessment Plan (PEAP) to iteratively review visualizations and the outreach programs that will target broad, diverse audiences.

The project launches an expansive outreach effort to increase digital science literacy and to convey forefront scientific research while expanding researchers access to data visualization. The project leverages and integrates disparate visualization efforts to create a new optimized large-scale workflow for high-resolution museum displays and broad public venues. The PEAP evaluations will measure progress toward project goals and will reveal new information about visualization's effectiveness to move a field forward and to develop effective outreach models. The project specifically targets broad audiences in places where they seek high-quality encounters with science: at museums, universities, K-16 schools, and the web. This distribution effort includes creating and widely disseminating the project outreach programs and supplemental educator guides. The project visualizations, program components, HD documentaries, educational and evaluation materials will be promoted, distributed and made freely available for academic, educational and promotional use. Dissemination strategies include proactively distributing to rural portable theaters, 4K television, professional associations, educators, decision-makers, and conferences. To help address the critical challenge of attracting women and underrepresented minorities to STEM fields, the Project will support a Broadening Participation in Visualization workshop and will leverage successful XSEDE/Blue Waters mechanisms to recruit under-represented faculty and students at minority-serving and majority-serving institutions and to disseminate the Project programs and materials among diverse institutions and communities.

Education Component: This project will also train graduate students in NLP and develop materials that can be used to teach middle and high school students about NLP and to inspire them to pursue an education in computer science.


CAREER: Enhanced Ferroelastic Toughening in Electroceramic Composites through Microstructural Coupling

National Science Foundation Award #1654182
Jessica Krogstad
Materials Science and Engineering
Dates: June 1, 2017–May 31, 2022 (Estimated)

NON-TECHNICAL DESCRIPTION: Specific bonding configurations in ceramic materials enable unique functionalities in a wide range of advanced applications, including superconductive wires in supercomputers, precise gas sensors in automotive exhaust and tilt sensors in consumer electronics. However, these same atomic bonds are also the responsible for the characteristic brittle failure behavior of ceramics. This research is generating new perspectives on fundamental mechanical responses within a class of electrical ceramics necessary to enhance durability without sacrificing electrical performance. By coupling these insights with processing science, this project is accelerating the development of new electroceramic materials and material systems that may drastically expand the existing limits of performance and durability. Through a variety of education and outreach activities, this project also promotes engagement and retention of traditionally underrepresented students. These activities include a high school summer camp for young women interested in material science, integration of industrially relevant, computational tools into undergraduate courses, and expanded mentorship of female graduate students within the college of engineering.

TECHNICAL DETAILS: This project is experimentally establishing a fundamental relationship between otherwise stochastic morphological features and intrinsic toughening mechanism in order to systematically design highly durable, ferroelastic/ferroelectric functional composites. Ferroelastic switching is one of a limited number of intrinsic toughening mechanisms available for advanced ceramics, yet it is not fully utilized due to the largely uncharacterized relationship between localized morphological features, efficient activation of domain nucleation and motion, and resultant improvements in toughness. By bridging this gap using in situ microscopy and targeted micromechanical probes, this research is providing the foundation for accelerated physics-based design of more durable ceramic composite systems. Finally, the state of the art characterization and processing methods used in this project in combination with a data-driven integrated computational materials engineering perspective is enhancing the overall development of graduate students, preparing them for an ever more digitally-reliant materials science industry.


CAREER: Bayesian Models for Lexicalized Grammars

National Science Foundation Award #1053856
Julia Hockenmaier
Computer Science
Dates: February 1, 2011–January 31, 2018 (Estimated)

Natural language processing (NLP) is a key technology for the digital age. At the core of most NLP systems is a parser, a program which identifies the grammatical structure of sentences. Parsing is an essential prerequisite for language understanding. But despite significant progress in recent decades, accurate wide-coverage parsing for any genre or language remains an unsolved problem. This project will advance the state of art in NLP technology through the development of more accurate statistical parsing models.

Since language is highly ambiguous, parsers require a statistical model which assigns the highest probability to the correct structure of each sentence. The accuracy of current parsers is limited by the amount of available training data on which their models can be trained, and by the amount of information the models take into account. This project aims to advance parsing by developing novel methods of indirect supervision to overcome the lack of labeled training data, as well as new kinds of models which incorporate information about the prior linguistic context in which sentences appear. It employs Bayesian techniques, which give robust estimates and allow rich parametrization, and applies them to lexicalized grammars, which provide a compact representation of the syntactic properties of a language.

Education Component: This project will also train graduate students in NLP and develop materials that can be used to teach middle and high school students about NLP and to inspire them to pursue an education in computer science.


CAREER: Large-Scale Recognition Using Shared Structures, Flexible Learning, and Efficient Search

National Science Foundation Award #1053768
Derek Hoiem
Computer Science
Dates: May 1, 2011–April 30, 2017 (Estimated)

This research investigates shared representations, flexible learning techniques, and efficient multi-category inference methods that are suitable for large-scale visual recognition. The goal is to produce visual systems that can accurately describe a wide range of objects with varying precision, rather than being limited to identifying objects within a few pre-defined categories. The main approach is to design object representations that enable new objects to be understood in terms of existing ones, which enables learning with fewer examples and faster and more robust recognition.

The research has three main components: (1) Designing appearance and spatial models for objects that are shared across basic categories; (2) Investigating algorithms to learn from a mixture of detailed and loose annotations and from human feedback; and (3) Designing efficient search algorithms that take advantage of shared representations.

The research provides more detailed, flexible, and accurate recognition algorithms that are suitable for high-impact applications, such as vehicle safety, security, assistance to the blind, household robotics, and multimedia search and organization. For example, if a vehicle encounters a cow in the road, the vision system would localize the cow and its head and legs and report "four-legged animal, walking left," even if it has not seen cows during training.

Education Component/Dissemination: The research also provides a unique opportunity to involve undergraduates in research, promote interdisciplinary learning and collaboration, and engage in outreach. Research ideas and results are disseminated through scientific publications, released code and datasets, public talks, and demonstrations for high school students.


CAREER: Nanostructured Soft Substrates for Responsive Bioactive Coatings

National Science Foundation Award #1554435
Cecilia Leal
Materials Science and Engineering
Project Dates: February 1, 2016–January 31, 2021 (Estimated)

NON-TECHNICAL SUMMARY: This CAREER award by the Biomaterials program in the Division of Materials Research to University of Illinois at Urbana-Champion is in support of studies to elucidate key fundamental properties of biocompatible lipid materials. This research would enable the design of coating materials for nanostructures, drugs and nucleic acids. Potential outcome from this research could be the ability to design smart materials that are able to interface with the human body to heal wounds, repair bones, as well as deliver drugs, vaccines, antibiotics, etc., by remotely programmable delivery system with the desired drug load, at the correct location and predetermined time point. Such capabilities could obviate unnecessary surgeries, periodic hospital visits for intravenous drug administration, and reduction in the undesirable side effects. This award will integrate the research activities into training and outreach activities, and include active recruitment of underrepresented minority students in STEM by developing an active-learning based middle-school summer camp for girls in materials science. Additionally, this award included outreach activities with three different populations, namely middle school and incoming graduate students, and inmates at a local prison. The investigator will share the research findings in a workshop about the medical challenges in engineering areas that are being developed as part of the Education Justice Project, which offers educational opportunities to incarcerated individuals. This effort has proven to be of high impact in reducing the rates of inmate misconduct. In addition, this program offers an instructional program combined with family support groups that could result in better educational accomplishments of inmates' children.

TECHNICAL SUMMARY: This CAREER award supports a research in the development of studies to elucidate key fundamental properties of novel materials that are biocompatible and prepared from non-bilayer lipids layers on different substrates. With this award, the investigator will study molecular-scale processes leading to highly structured surface deposited non-bilayer lipid thin films for the delivery of drugs and nucleic acids. The main goals of the project are: a) to understand polymorphism of lipid and associated species on surfaces; b) to fine tune film nanostructures with underlying surfaces and environmental cues; and c) to integrate lipid-film complexes on the surface. This investigator will vary surface chemistry, substrate geometry and environment to establish the conditions that decide the structure and orientation of lipid-drug and lipid-nucleic acid complexes deposited onto surfaces. As part of this research, the investigator will study molecular-scale processes leading to highly structured surface deposited non-bilayer lipid thin films for the delivery of drugs and nucleic acids. In this work, the researcher will combine different characterization methods such as Small Angle X-ray Diffraction with cell culture assays to unveil a fundamental understanding of the self-assembly of lipid-based thin-films onto a surface. The scientific broader impacts of this research are possible design of device-coating materials with predictable nanostructures and drug/gene elution profiles. This award will integrate the scientific outcomes into outreach and education, targeting three different populations, namely middle school and incoming graduate students, and inmates at a local prison.


CAREER: Transforming Electronic Devices Using Two-dimensional Materials and Ferroelectric Metal Oxides

National Science Foundation Award #1653241
Wenjuan Zhu
Electrical and Computer Engineering
Project Dates: February 1, 2017–January 31, 2022 (Estimated)

Nontechnical description: Next generation information technology is driving the quest for energy efficient electronic devices to process unprecedented amounts of data in real time and in an energy- and cost-efficient manner. In this program, the principle investigator (PI) is planning to create and evaluate novel energy efficient electronic devices based on a new hybrid material platform consisting of two-dimensional (2D) materials (mono-/di-chalcogenides and graphene) and ferroelectric metal oxides (doped hafnium and zirconium oxides). The ferroelectric metal oxides provide programmable and non-volatile doping in 2D materials, while the atomically thin bodies in 2D materials enable strong electrostatic control over the channel by the ferroelectric metal oxides. Most previous research on 2D/ferroelectric hybrid materials has focused on traditional perovskite ferroelectric materials. This proposed work will undertake the first systematic study of 2D materials on newly discovered ferroelectric hafnium and zirconium oxides, which have the advantages of excellent scalability, high coercive field, and full compatibility with complementary metal oxide semiconductor (CMOS) technology. The PI's team will investigate the synthesis of this new hybrid material platform and create ultra-low power logic, memory, and analog devices based on these materials. The low power logic and memory devices based on these materials will be essential for mobile devices, medical implantable devices, wearable electronics, and large data centers. Analog classifiers based on these materials will enable high speed and low power signal processing and image recognition systems. 3D integration of these low power 2D ferroelectric devices with high speed silicon circuits will result in next-generation highly parallel and ultra-low power systems to support "Big Data" applications such as the Internet of Things and social media. The PI will integrate research and teaching by creating a new graduate/undergraduate course on 2D materials to train the next generation workforce in nanoelectronics. The PI will establish several outreach activities including a new "Little Einstein" science education program for elementary students to cultivate young minds at an early age to respect and embrace a career in science and technology. The PI will also establish a "Girls Go Tech" program for middle school girls to promote enrollment of female students in science and engineering programs.

Technical description: The objective of the proposed research is to establish the foundation for a new research direction: nanoelectronics based on 2D/ferroelectric metal oxides hybrid material platform. The PI's team will synthesize and characterize 2D/ferroelectric metal oxide stacks, seeking fundamental understanding of the ferroelectric phase transition in metal oxides with 2D materials as substrate/capping layers. The team will also utilize these materials to create energy efficient logic, memory, and analog devices. Specifically, the team will create and evaluate novel 2D ferroelectric tunneling field effect transistors (2D Fe-TFETs) to serve as ultra-low power logic; will investigate 2D ferroelectric hafnium oxide transistors (2D FHOT) to implement highly energy efficient, scalable, and durable ferroelectric random access memory (FRAM); will create embedded-gate graphene ferroelectric transistors (EGGFTs) to realize highly energy-efficient, extremely compact, and non-volatile analog classifiers. These devices will then be stacked layer-by-layer to realize 3D monolithic integration. This research will elucidate the device physics and evaluate the potential of these devices for future semiconductor technology. The resulting 3D integrated system will provide the hardware foundation for new circuit and architecture designs. This research is potentially transformative as it may unlock new lines of research and development in energy efficient devices, circuits, and architectures with a broad range of emerging applications from wearable electronics and implantable medical devices to data centers.


CAREER: Spatiotemporal Avalanche Kinetics in Size-Dependent Crystal Plasticity

National Science Foundation Award #1654065
Christoph Robert Eduard Maass
Materials Science and Engineering
Project Dates: June 1, 2017–May 31, 2022 (Estimated)

Non-Technical Abstract When a metallic component is stressed to the extent that it plastically deforms, many defects operate to allow the permanent shape change. In crystalline metals, which means practically all technical alloys, these defects are called dislocations. Acting cooperatively, many dislocations can begin to move at the same time. This process can lead to abrupt plastic instabilities that deteriorate the structural stability of components and eventually trigger failure. One main problem with such collective, avalanche-like, processes is that they occur spontaneously, which means that they are hard to predict. In addition, these dislocation avalanches are confined to the nanometer scale and proceed extremely fast. As a result, very little is known about how they proceed in space and time. In this research effort, the PI and his students will unravel the precise dynamics of dislocation avalanches. We will not only track their spatiotemporal dynamics, but we will also define how they respond to changes in temperature. This will be done by unique micro-scale and temperature-dependent deformation experiments with extremely fast response dynamics. General statistical and physical models that are predicted to describe the avalanche behavior will be tested with the experimental data, and novel deformation models will be proposed. A successful completion of our research will lead to a better control of structural stability, and drive the development of mathematical models that can predict avalanches and therefore failure. Since avalanches occur in many other systems, such as earthquakes, disordered materials, or magnetism, the significance of the here-obtained results will extend well beyond plasticity of metals. In order to increase the nation's diversity and retention of underrepresented groups in STEM education, the PI will develop an educational program in the area of solid materials for the middle-school age-bracket, which he will present in outreach activities at schools, and also pioneer a new middle-school camp for girls. These interventions will be integrated with active learning techniques that the PI is currently implementing in undergraduate education.

Technical Abstract This proposal will tackle a notoriously difficult problem that controls the structural integrity of metallic materials: How do local structural instabilities proceed in the space-time-temperature domain? These instabilities are caused by collective defect dynamics, called dislocation avalanches in crystals. The challenge lies in the spatial confinement and the short time scales of such processes. Using nanoseconds time resolution in combination with sub-nanometer displacement resolution during a temperature-dependent micro-scale straining experiment, the objective will be to trace dislocation avalanches in real time. This will be achieved by extending a commercially available nanoindenter with MHz data sampling capabilities, and to integrate the system into a cryostat. Four main thrusts compose the core of this research program: 1) non-linear modeling of the device-sample dynamics, 2) experimental validation of theoretically predicted scaling laws, 3) unraveling the transition from intermittent to smooth plastic flow, and 4) determining thermal activation parameters for dislocation avalanche dynamics. If successful, the hereby generated large experimental data set will be a unique basis for the development of predictive materials modeling, and may lead to a better control of the depinning transition and thus the strength of structural materials. Key of this project will be a unified experimental approach with highly time-resolved and temperature-dependent small-scale deformation experiments that can assess the velocity-profiles of dislocation avalanches, thereby scrutinizing recently proposed theories for avalanches near the depinning transition. The impact of these efforts is a first real-time assessment of a dynamic phase in crystal plasticity, which will improve our physical understanding of a process that ultimately dictates the mechanical stability of metals, or forming of small metallic components. The results will be relevant for bulk metals in general, and provide numerous important parameters for materials modeling and systems that undergo similar dynamic phase transitions, ranging from crystals to granular materials. Unravelling avalanche characteristics will furthermore provide a coarse-grained view on dislocation plasticity that can bridge between dislocation dynamics and constitutive crystal plasticity modeling, which may directly lead to more efficient multi-scale modeling frameworks.


Engineering Research Center for Power Optimization for Electro-Thermal Systems (POETS)

National Science Foundation Award #1449548
Andrew Alleyne
Mechanical Science and Engineering
Dates: August 1, 2015–July 31, 2020 (Estimated)

Nearly all modern electronic systems are hitting a power density wall where further improvements in power density pose significant challenges. The NSF Engineering Research Center for Power Optimization for Electro-Thermal Systems (POETS), aims to enhance or increase the electric power density available in tightly constrained mobile environments by changing the design. The management of high-density electrical and thermal power flows is a safety-critical societal need as recent electrical vehicles and aircraft battery fires illustrate. Engineering education conducted in silos limits systems-level approaches to design and operation. POETS will create the human capital that is explicitly trained to think, communicate, and innovate across the boundaries of technical disciplines. The Engineering Research Center (ERC) will institute curricular reform to train across disciplines using a systems perspective. It will develop pedagogical tools that allow greater stems-level understanding and disseminate these throughout the undergraduate curriculum. POETS will target undergraduate curriculum modifications aimed at early retention and couple it with undergraduate research and K-12 teacher activities. POETS' research will directly benefit its industry stakeholders comprised of power electronics Original Equipment Manufacturers (OEM) and Small to Medium sized businesses in the OEM supply chain. An Industry/Practitioner Advisory Board will help direct efforts towards ready recipients of POETS research developments. POETS will harness the outputs of the ecosystem and drive research across the "valley of death" into commercialization.

POETS uses system level analysis tools to identify barriers to increased power density. Design tools will be used to create optimal system-level and subsystem-level designs. Novel algorithm tools will address the multi-physics nature of the integrated electro-thermal problem via structural optimization. Once barriers are identified, POETS will cultivate enabling technologies to overcome them. The operation of these systems necessitates development of heterogeneous decision tools that exploit multiple time scale hierarchies and are not suitable for real-time use. Implementation of these management approaches requires new 3D power electronics architectures that surpass current 2D designs. The thermal management will be tightly coupled with new 3D electronic systems designs using topology optimization for power electronics, storage, etc. The new designs will tightly interweave elements such as solid state thermal switches and modular multi-length scale elements; i.e. spreaders, storage units, phase change and mass flow system interacting with convection units. Fundamental research advances will support development of the 3D component technologies. New materials systems will be developed by manipulating nanostructures to provide tunable directionality for in plane and out-of-plane thermal power flows. These will be coupled with micro- and nano-scale thermal routing based on new conduction/convection systems. Buffers made from phase change material will be integrated into these systems to augment classes of autonomic materials with directed power flow actuation. Novel tested systems will integrate the system knowledge enabling technologies and fundamental breakthrough into modular demonstrations.


Fundamental Study on Sustainable Alternative Binders for Concrete: Reduction of Long-Term Time Dependent Deformation through Nanoengineering

National Science Foundation Award #1538432
Paramita Mondal
Civil and Environmental Engineering
Project Dates: September 1, 2015–August 31, 2018 (Estimated)

Concrete is second only to water as the most used material by humans. Its use continues to grow to build new structures as well as to meet an increasing need for repair of existing structures. The projected use of ordinary Portland cement, the main component responsible for binding capacity of concrete, in 2020 is to be three times the level of 1990. As every ton of ordinary Portland cement is known to produce 0.8 tons of carbon dioxide, reduction of cement consumption by use of supplementary cementitious materials is extremely important to reduce greenhouse gas emission associated with construction industry. However, supplementary cementitious materials can be slow to react and greater use of such materials in concrete requires external activation. External activation of supplementary cementitious materials can produce binders with similar to superior mechanical properties and have been used in actual construction. However, there are still many factors, including their high early age deformation due to moisture loss and limited understanding of long-term time dependent deformation, that affect their wider use. This proposal, for the first time, will study processing of such sustainable alternative binders and its relationship with time-dependent deformation to ultimately control it. The proposed work plan also aims to a) advance the integration of research and education through training civil engineering graduate students in materials science, b) encourage study of sustainable infrastructure materials among undergraduates through middle school students and c) increase participation of women and underrepresented students in research.

The research objective of this proposal is to provide fundamental understanding of how the reaction mechanisms, and the molecular and nano structural arrangements of the reaction products in alkali activated sustainable alternative binders made from supplementary cementitious materials, are related to the time dependent deformation of the binder. This proposal hypothesizes that the abovementioned factors can be controlled through the addition of nanocrystalline seeding agents. In this project, the effects of the addition of nanocrystalline seeding agents on the reaction mechanism of alkali activated binders will be studied through the use of high resolution electron microscopy and X-ray scattering. Precise information on the growth mechanism will be transformative as it will permit modification and possibly improvement of predicting capability of existing models for reaction kinetics of such binders. Fundamental understanding achieved through this proposal will be equally important for improving resistance of alkali activated binders against leaching, efflorescence and other chemical degradations as they also depend on the molecular and nanostructure of the binder.



G.A.M.E.S. participants working in lab.
Girls Adventures in Mathematics, Engineering, and Science (G.A.M.E.S.)

Abbott Laboratories
Caterpillar Foundation
John Deere Foundation
Motorola Foundation Innovation Generation Grants
Shell Oil Company
EXXON Mobil
Women in Engineering

University of Illinois / Urbana, Illinois – Girls Adventures in Mathematics, Engineering, and Science (G.A.M.E.S) Summer Camp is an annual week-long residential camp designed to give academically talented middle school girls an opportunity to explore math, science, and engineering careers through demonstrations, classroom presentations, hands-on activities, and contact with women in these technical fields.

 


Sustained-Petascale In Action: Blue Waters Enabling Transformative Science And Engineering

National Science Foundation Award #1238993
William Kramer
Computer Science
Dates: October 1, 2013–July 31, 2019 (Estimated)

This a renewal award to the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign (UIUC) to operate Blue Waters, which is a leadership class compute, network, and storage system, that will deliver unprecedented large scale and highly usable computing capabilities to the national research community. Blue Waters provides the capability for researchers to tackle much larger and more complex research challenges across a wide spectrum of domain than can be done now, and opens up entirely new possibilities and frontiers in science and engineering. This system is located at the newly constructed National Petascale Computing Facility at UIUC.

This award enables investigators across the country to conduct innovative research in a number of areas including: using three-dimensional, compressible, finite difference, magnetohydrodynamic (MHD) codes to understand how internal solar magnetoconvection powers the Sun's activity, and how that activity heats the chromosphere and corona and accelerates charged particles to relativistic energies; applying adaptive mesh refinement (AMR) technologies to study flows of partially ionized plasma in the outer heliosphere; implementing multiscale methods to study protein induced membrane remodeling key steps of the HIV viral replication cycle and clathrin coated pit formation in endocytosis; testing of the hypothesis that transport fluxes and other effects associated with cloud processes and ocean mesoscale eddy mixing are significantly different from the theoretically derived averages embodied in the parameterizations used in current-generation climate models; and, exploring systems-of-systems engineering design challenges to discover optimal many-objective satellite constellation design tradeoffs that include Earth science applications. Large allocations of resources on the new system have been awarded to scientists and engineers by NSF through a separate peer-reviewed competition.

The Blue Waters system and project are aligned with NSF's Advanced Computing Infrastructure Strategy to promote next generation computational and data intensive applications. These applications are being developed by multiple teams of researchers who will revolutionize and transform our knowledge of science and engineering across many disciplines. The system supports new modalities of computation, new programming models, enhanced system software, accelerator technologies and novel storage. The robust design and configuration of Blue Waters ensures that it will meet the evolving needs of the diverse science and engineering communities over the full lifetime of the system.

The broader impacts of this award include: provisioning unique infrastructure for research and education; accelerating education and training in the use of advanced computational science; training new users on how to use petascale computing techniques; promoting an exchange of information between academia and industry about the petascale applications; and broadening participation and collaborations in computational science with other research institutions and projects nationally and internationally.