E-Science or eScience is computationally intensive science that is carried out in highly distributed network environments, or science that uses immense data sets that require grid computing; the term sometimes includes technologies that enable distributed collaboration, such as the Access Grid. The term was created by John Taylor, the Director General of the United Kingdom's Office of Science and Technology in 1999 and was used to describe a large funding initiative starting in November 2000. E-science has been more broadly interpreted since then, as "the application of computer technology to the undertaking of modern scientific investigation, including the preparation, experimentation, data collection, results dissemination, and long-term storage and accessibility of all materials generated through the scientific process. These may include data modeling and analysis, electronic/digitized laboratory notebooks, raw and fitted data sets, manuscript production and draft versions, pre-prints, and print and/or electronic publications." In 2014, IEEE eScience Conference Series condensed the definition to "eScience promotes innovation in collaborative, computationally- or data-intensive research across all disciplines, throughout the research lifecycle" in one of the working definitions used by the organizers. E-science encompasses "what is often referred to as big data [which] has revolutionized science... [such as] the Large Hadron Collider (LHC) at CERN... [that] generates around 780 terabytes per year... highly data intensive modern fields of science...that generate large amounts of E-science data include: computational biology, bioinformatics, genomics" and the human digital footprint for the social sciences.
The Biocomplexity Institute of Virginia Tech is a research organization specializing in bioinformatics, computational biology, and systems biology. The Institute has more than 250 personnel, including over 50 tenured and research faculty. Research at the Institute involves collaboration in diverse disciplines such as mathematics, computer science, biology, plant pathology, biochemistry, systems biology, statistics, economics, synthetic biology and medicine. The institute develops -omic and bioinformatic tools and databases that can be applied to the study of human, animal and plant diseases as well as the discovery of new vaccine, drug and diagnostic targets.
United States federal research funders use the term cyberinfrastructure to describe research environments that support advanced data acquisition, data storage, data management, data integration, data mining, data visualization and other computing and information processing services distributed over the Internet beyond the scope of a single institution. In scientific usage, cyberinfrastructure is a technological and sociological solution to the problem of efficiently connecting laboratories, data, computers, and people with the goal of enabling derivation of novel scientific theories and knowledge.
TeraGrid was an e-Science grid computing infrastructure combining resources at eleven partner sites. The project started in 2001 and operated from 2004 through 2011.
Neuroinformatics is the field that combines informatics and neuroscience. Neuroinformatics is related with neuroscience data and information processing by artificial neural networks. There are three main directions where neuroinformatics has to be applied:
Multiscale modeling or multiscale mathematics is the field of solving problems which have important features at multiple scales of time and/or space. Important problems include multiscale modeling of fluids, solids, polymers, proteins, nucleic acids as well as various physical and chemical phenomena.
The Texas Advanced Computing Center (TACC) at the University of Texas at Austin, United States, is an advanced computing research center that provides comprehensive advanced computing resources and support services to researchers in Texas and across the USA. The mission of TACC is to enable discoveries that advance science and society through the application of advanced computing technologies. Specializing in high performance computing, scientific visualization, data analysis & storage systems, software, research & development and portal interfaces, TACC deploys and operates advanced computational infrastructure to enable computational research activities of faculty, staff, and students of UT Austin. TACC also provides consulting, technical documentation, and training to support researchers who use these resources. TACC staff members conduct research and development in applications and algorithms, computing systems design/architecture, and programming tools and environments.
Integrated Computational Materials Engineering (ICME) is an approach to design products, the materials that comprise them, and their associated materials processing methods by linking materials models at multiple length scales. Key words are "Integrated", involving integrating models at multiple length scales, and "Engineering", signifying industrial utility. The focus is on the materials, i.e. understanding how processes produce material structures, how those structures give rise to material properties, and how to select materials for a given application. The key links are process-structures-properties-performance. The National Academies report describes the need for using multiscale materials modeling to capture the process-structures-properties-performance of a material.
The George E. Brown, Jr. Network for Earthquake Engineering Simulation (NEES) was created by the National Science Foundation (NSF) to improve infrastructure design and construction practices to prevent or minimize damage during an earthquake or tsunami. Its headquarters were at Purdue University in West Lafayette, Indiana as part of cooperative agreement #CMMI-0927178, and it ran from 2009 till 2014. The mission of NEES is to accelerate improvements in seismic design and performance by serving as a collaboratory for discovery and innovation.
DataNet, or Sustainable Digital Data Preservation and Access Network Partner was a research program of the U.S. National Science Foundation Office of Cyberinfrastructure. The office announced a request for proposals with this title on September 28, 2007. The lead paragraph of its synopsis describes the program as:
Science and engineering research and education are increasingly digital and increasingly data-intensive. Digital data are not only the output of research but provide input to new hypotheses, enabling new scientific insights and driving innovation. Therein lies one of the major challenges of this scientific generation: how to develop the new methods, management structures and technologies to manage the diversity, size, and complexity of current and future data sets and data streams. This solicitation addresses that challenge by creating a set of exemplar national and global data research infrastructure organizations that provide unique opportunities to communities of researchers to advance science and/or engineering research and learning.
nanoHUB.org is a science and engineering gateway comprising community-contributed resources and geared toward education, professional networking, and interactive simulation tools for nanotechnology. Funded by the United States National Science Foundation (NSF), it is a product of the Network for Computational Nanotechnology (NCN). NCN supports research efforts in nanoelectronics; nanomaterials; nanoelectromechanical systems (NEMS); nanofluidics; nanomedicine, nanobiology; and nanophotonics.
The Center for Simulation of Advanced Rockets (CSAR) is an interdisciplinary research group at the University of Illinois at Urbana-Champaign, and is part of the United States Department of Energy's Advanced Simulation and Computing Program. CSAR's goal is to accurately predict the performance, reliability, and safety of solid propellant rockets.
The iPlant Collaborative, renamed Cyverse in 2017, is a virtual organization created by a cooperative agreement funded by the US National Science Foundation (NSF) to create cyberinfrastructure for the plant sciences (botany). The NSF compared cyberinfrastructure to physical infrastructure, "... the distributed computer, information and communication technologies combined with the personnel and integrating components that provide a long-term platform to empower the modern scientific research endeavor". In September 2013 it was announced that the National Science Foundation had renewed iPlant's funding for a second 5-year term with an expansion of scope to all non-human life science research.
Systems geology emphasizes the nature of geology as a system – that is, as a set of interacting parts that function as a whole. The systems approach involves study of the linkages or interfaces between the component objects and processes at all levels of detail in order to gain a more comprehensive understanding of the solid Earth. A long-term objective is to provide computational support throughout the cycles of investigation, integrating observation and experiment with modeling and theory, each reinforcing the other. The overall complexity suggests that systems geology must be based on the wider emerging cyberinfrastructure, and should aim to harmonize geological information with Earth system science within the context of the e-science vision of a comprehensive global knowledge system.
MOOSE is an object-oriented C++ finite element framework for the development of tightly coupled multiphysics solvers from Idaho National Laboratory. MOOSE makes use of the PETSc non-linear solver package and libmesh to provide the finite element discretization.
Data Infrastructure Building Blocks (DIBBs) is a U.S. National Science Foundation program.
Mark F. Horstemeyer is the current Dean of Engineering at Liberty University (2019–present). He was the Giles Distinguished Professor at Mississippi State University (MSU) and professor in the Mechanical Engineering Department at Mississippi State University (2002–2018), holding a Chair position for the Center for Advanced Vehicular Systems (CAVS) in Computational Solid Mechanics; he was also the Chief Technical Officer for CAVS. Before coming to MSU, he worked for Sandia National Laboratories for fifteen years (1987-2002) in the area of multiscale modeling for design.
CyberGIS, or cyber geographic information science and systems, is an interdisciplinary field combining cyberinfrastructure, e-science, and geographic information science and systems (GIS). CyberGIS has a particular focus on computational and data-intensive geospatial problem-solving within various research and education domains. The need for GIS has extended beyond traditional forms of geographic analysis and study, which includes adapting to new sources and kinds of data, high-performance computing resources, and online platforms based on existing and emerging information networks. The name cyberGIS first appeared in Geographic Information Science literature in 2010. CyberGIS is characterized as digital geospatial ecosystems. These systems are developed and have evolved through heterogeneous computing environments, as well as human communication and information environments. CyberGIS can be considered a new generation of geographic information systems (GIS). These systems are based on advanced computing and information infrastructure, which analyze and model geospatial data, providing computationally intensive spatial analysis, modeling, and collaborative geospatial problem-solving at previously unprecedented scales.
Computational materials science and engineering uses modeling, simulation, theory, and informatics to understand materials. The main goals include discovering new materials, determining material behavior and mechanisms, explaining experiments, and exploring materials theories. It is analogous to computational chemistry and computational biology as an increasingly important subfield of materials science.
Somnath Ghosh is the Michael G. Callas Chair Professor in the Department of Civil & Systems Engineering and a Professor of Mechanical Engineering and Materials Science & Engineering at Johns Hopkins University (JHU). He is the founding director of the JHU Center for Integrated Structure-Materials Modeling and Simulation (CISMMS) and was the director of an Air Force Center of Excellence in Integrated Materials Modeling (CEIMM). Prior to his appointment at JHU, Ghosh was the John B. Nordholt Professor of Mechanical Engineering and Materials Science & Engineering at The Ohio State University. He is a fellow of several professional societies, including the American Association for the Advancement of Science (AAAS).
