Articles tagged with Computational Science
Georgia Tech has received a $561,130 contract from DARPA to create an algorithmic framework for supercomputing systems that require less energy than traditional high-speed machines. The goal is to enable devices in the field to perform calculations previously requiring room-sized supercomputers.
Researchers connect 250 years of organic chemical knowledge into a giant computer network, optimizing syntheses of drug molecules and identifying suspicious chemical recipes. The Chematica system learns from experience and can test every possible synthesis, finding truly optimal ways to make desired chemicals.
Researchers developed an expert system to diagnose thyroid disease using computerized screening of medical data, achieving an accuracy rate of 93.5%, significantly improving detection rates.
Scientists at University of Warwick solve 40-year-old Fourier Transform Mass Spectrometry phasing problem, improving data quality for pharmaceuticals, healthcare, and environmental management. The breakthrough method doubles resolution and sensitivity at no extra cost.
The Society for Industrial and Applied Mathematics named 35 individuals as part of its 2012 Class of Fellows, recognizing their outstanding research in applied mathematics and computational science. The selected fellows are academics and professionals who have made significant contributions to the field.
Ziv Bar-Joseph, a Carnegie Mellon University professor, has received the Overton Prize for his outstanding contributions to computational biology. He has made significant breakthroughs in gene regulatory networks and their applications to cancer cells.
Researchers from Rice University and UCSD decipher part of mitoNEET's movements using laboratory experiments and computer modeling. They found that the protein can switch between conformations without unfolding, altering the shape of its critical pocket.
The IUPUI-launched Institute for Mathematical Modeling and Computational Science aims to train a new generation of researchers to identify and solve scientific issues. The institute focuses on areas such as drug delivery, pollution, and brain mapping, using mathematical modeling and computational science approaches.
Researchers at Georgia Tech, with support from DARPA and other organizations, are developing a suite of algorithms to identify insider threats in large datasets. The system, called ADAMS, will analyze email, text messages, and file transfers for unusual activity, providing analysts a short list of unexplained events to investigate.
The Texas Advanced Computing Center announces the deployment of Stampede, a world-class supercomputer with comprehensive computing and visualization capabilities, made possible by a $27.5 million NSF grant. The system will support over 1,000 projects in computational and data-driven science, enabling researchers to explore complex phen...
The eSiMon Dashboard allows researchers to monitor and analyze simulations in real-time, providing a user-friendly interface for collaboration and data visualization. Key features include web-based access, variable annotation, and publication-quality image and video generation.
New research provides urgently needed solutions to resolve the reproducibility crisis in computational science by creating a registry for computational results, open licenses for intellectual property framework, and technical communication methodologies. This enables wider availability of scientific knowledge and detects flawed science.
The Journal of Computational Science Education (JOCSE) promotes the use of computation in education, disseminating unique uses of computation in the classroom. The journal utilizes internet technology to allow for enhanced interactivity and provides an outlet for high-quality papers describing successful computational science instructi...
The 'M8' simulation, a magnitude 8.0 earthquake on the southern San Andreas Fault, shakes a larger area with greater detail than previously possible. The development of this simulation advances state-of-the-art in speed and efficiency for such calculations.
Researchers created a machine-learning model called DiaTM that learns vernacular terms for health problems and symptoms, improving medical website performance. The system achieves a 25% improvement in nDCG, a scientific term referring to the relevance of information retrieval.
The COGNITO project, led by the University of Bristol, aims to develop computer systems that can understand and predict human behavior and activity. By using on-body sensor networks and advanced computer vision algorithms, researchers hope to create systems that can assist people in skilled assembly and manipulation tasks.
Researchers at University of Warwick and University of Sheffield used metadynamics to simulate how a chicken eggshell protein binds to calcium carbonate particles, enabling efficient recycling and catalytic activity. The study provides new insights into controlling crystallization in nature.
A team of life scientists and computer researchers, led by Thomas Brutnell, is working on the iPlant project to develop a computational pipeline for processing ultra-high-throughput sequence datasets. The goal is to make it easier to analyze large datasets and predict plant responses to environmental changes.
Georgia Institute of Technology receives a five-year, $12 million Track 2 award to develop and deploy two heterogeneous HPC systems for various research projects. The project aims to demonstrate unprecedented performance on computational science applications while addressing energy efficiency challenges.
Researchers at RIT are using supercomputers to study the massive dark objects, simulating what cannot be seen directly. The grants and allocations will enhance their access to sophisticated computer power, staying at the forefront of scientific computation.
A new computer model reveals striking detail about sunspots, including their structure and dynamics. The simulations capture convective flow and energy movement that underlie sunspots, enabling scientists to better understand their role in solar output and climate patterns.
The Palomar Transient Factory (PTF) utilizes NERSC's tools to uncover relatively rare cosmic events like supernovae and gamma ray bursts, discovering over 40 in its commissioning phase. The survey combines automated analysis with high-end systems and networks, enabling rapid follow-up observations.
Scientists at the University of East Anglia have created lip-reading computers that can accurately identify different languages spoken by individuals. The technology uses statistical modelling of lip motions and was tested on a group of bilingual and trilingual speakers, achieving high accuracy rates across multiple languages.
Researchers are exploring petascale computing to model complex systems like severe storms, enabling better prediction and potentially saving lives. The technology will also facilitate the analysis of large datasets in fields such as high-energy physics.
The Department of Energy's Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program has awarded 28 projects at Argonne National Laboratory with $400 million hours of computing time. These projects will focus on various fields including energy, biology, climate change, astrophysics, and more.
A team of Berkeley Lab researchers won a prestigious Gordon Bell Prize for their algorithm innovation in high-performance computing. They developed the Linearly Scaling 3D Fragment (LS3DF) method to efficiently simulate the behavior of nanostructures, achieving impressive performance and scalability.
The upgraded Oak Ridge National Laboratory supercomputer has achieved a sustained performance of over 1.3 petaflops, enabling researchers to simulate physical processes on an unprecedented scale. The new system will facilitate breakthroughs in climate modeling, renewable energy, and materials science.
The University of Tennessee at Knoxville has been awarded a $16 million NSF grant to create the National Institute for Mathematical and Biological Synthesis, or NIMBioS. Researchers from around the world will collaborate on finding creative solutions to pressing problems in fields like animal disease control and wildfire management.
The Argonne National Laboratory's IBM Blue Gene/P high-performance computing system is the world's fastest supercomputer for open science, with a peak-performance of 557 Teraflops. This achievement marks the first time an Argonne-based supercomputing system has ranked in the top five of the industry's definitive list.
Researchers at Argonne National Laboratory have developed a new method to predict the properties of light nuclei, allowing for better understanding of element origins and star behavior. This breakthrough enables more accurate calculations of nuclear reaction rates, which are crucial for astrophysics experiments.
A new laser beam made in a University of Michigan laboratory has set a record for intensity, measuring 20 billion trillion watts per square centimeter. The intense beam could help scientists develop better proton and electron beams for radiation treatment of cancer and explore new frontiers in science.
David Mumford is recognized for his contributions to algebraic surfaces, geometric invariant theory, and the modern algebraic theory of moduli of curves and theta functions. His work has fundamentally changed algebraic geometry, laying the foundations for string theory in physics.
The NIST team will use the granted time to model concrete flow under various conditions, improving prediction and measurement of flow properties. The access to the Argonne machine allows for advanced computer modeling impossible with existing facilities.
A new computerized tutoring system aims to help middle school students develop a deep understanding of scientific concepts by teaching them to 'think like scientists.' The system will guide students' learning, assess their progress, and provide feedback automatically to teachers.
Researchers use Finite Element Analysis to test the bite force and feeding mechanics of Smilodon, finding a relatively weak bite that limits its killing behaviors. Despite this, Smilodon was an efficient hunter of large game and could restrain prey before biting.
Dr. Jaydeep Bardhan, a former CSGF fellow, received the prestigious Howes Scholar Award in computational science for his work on biomolecular modeling. He was recognized among only one or two fellows each year for his novel techniques and approaches to analyzing protein interactions and determining optimal molecular targets.
The inaugural IBM Blue Gene/P system will enhance researchers' ability to conduct breakthrough science and engineering at the Argonne Leadership Computing Facility. The new system will provide a leading computing capability for advancing knowledge in fields such as climate change, biology, and energy sustainability.
Computer scientists Steven Rudich and Alexander A. Razborov have made a significant contribution to the P vs. NP problem, a classic question in theoretical computer science that underlies the security of digital systems. Their work has implications for cryptography and electronic commerce.
A team of researchers is building a prototype system to automate scientific workflows, addressing the growing issue of data analysis overload in various fields like climatology and high-energy physics. The Windward project integrates AI and grid computing to create an efficient workflow management system.
The 2007 prize recognizes Dr. Shu's development of TVD temporal discretizations, ENO and WENO finite difference schemes, discontinuous Galerkin methods, and spectral methods. Dr. Shu is a professor of Applied Mathematics at Brown University and has made significant contributions to scientific computing.
The Open Science Grid Consortium has received a five-year, $30 million award from the National Science Foundation and Department of Energy's Office of Science to operate and expand its computing environment. The OSG enables scientists to share and analyze petabytes of data from around the world.
The University of Wisconsin-Madison is leading a five-year, $30 million program to operate and expand the Open Science Grid, tapping into thousands of processors distributed across more than 30 universities and federal research laboratories. The project aims to lower the barrier to individual scientists using advanced computing.
The Society for Industrial and Applied Mathematics (SIAM) awards student paper prizes to recognize outstanding scholarship in applied mathematics. This year's winners include Laurent Demanet, Emanuele Viola, and Hongchao Zhang from California Institute of Technology, Harvard University, and University of Florida respectively.
Frank Xu, Assistant Professor at Stevens Institute of Technology, has been awarded $300,000 by the US Department of Energy for his research on developing multi-scale stochastic numerical methods. The award will support Xu and a Ph.D. candidate for three years.
A European cyber infrastructure network is being developed to keep Europe at the forefront of computational science. The ESF Forward Look study aims to provide a conclusive guide for policy makers on what researchers need to maintain Europe's leading position.
Scientists have discovered a new magnetic phenomenon, 'displaced vortex states', that can increase the size of MRAMs, allowing for faster and non-volatile memory storage. This breakthrough could lead to improved performance and reduced wait times when turning on computers.
Vakalis receives award for his contributions to developing and implementing educational materials for Computational Engineering and Sciences. He aims to make students aware of the beauty and practical use of computational science, highlighting its intersection with mathematics and science.
CERN has been awarded a high-performance computing prize at the Supercomputing 2005 conference. The recognition is due to CERN's pioneering work on the LHC Computing Grid and its collaborative efforts with industrial partners in developing grid technology.
Boston University has reached the 59th position on the TOP500 List of Supercomputing Sites with its new BlueGene/L unit, which will be used by approximately 500 researchers. The supercomputer's computational power will enable research in subnuclear physics, genetics, and space weather modeling.
Researchers have developed AgentCell, a digital bacterial simulation that can study entire populations of cells in 3D, enabling rapid experimentation and simulation of cellular behavior. This innovation has potential applications in cancer research, drug development, and combating bioterrorism.
Researchers at the University of Glasgow are developing a solution to the problem of safe mobile computing by utilizing 3D sound and gestures. This innovative approach allows users to interact with their devices as naturally as talking to a friend while walking, minimizing the risk of accidents.
Researchers used MDCT to analyze the skeletal remains of early colonists, revealing evidence of scurvy and confirming the ages of the deceased. The study created a digital archive of the skulls and bones, providing valuable insights into the lives of those who settled on Saint Croix Island.
Researchers at the University of Florida have created a living neural network using 25,000 rat brain cells, allowing it to learn and adapt like a computer. The 'brain' can now control a simulated aircraft, paving the way for potential use in flight control systems.
Giles is a leading researcher in computational science, focusing on high-performance parallel computers and algorithm development. His work aims to bridge the digital divide by promoting diversity in computing and access to technology.
The Center for Quantitative Biology aims to tackle complex biological questions using advanced computing, microscopy, and gene chips. It will train future research leaders through a new undergraduate and graduate curriculum.
The study by ASU researchers could lead to smarter robots and a better understanding of how humans process patterns. Oscillatory associative memory networks have been shown to have high memory capacity, similar to the Hopfield network, but with oscillatory units instead of discrete states.
The gift will establish a comprehensive center utilizing information technology to connect basic research and biological systems analysis. This will enable scientists to build on recent scientific developments, gain insights into biological function in health and diseases.
The new study modeled earthquakes using computer simulations, finding that sections of the fault with increased material strength can focus energy to an unexpected degree. This results in intense bursts of seismic waves posing significant hazards to nearby structures.
Using a powerful supercomputer, researchers simulated materials' strength and behavior, gaining insights into fracture, work hardening, and customized properties. The study enables better understanding of earthquakes and design of new materials to resist brittle fracture.
Berkeley Lab is developing new computational tools, including algorithms and software frameworks, to tackle complex scientific problems. The funding will support the creation of a terascale simulation environment for accelerator science and technology.