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UrduAmerica Resilient proposed key ways to mitigate the degree of likely human suffering, loss of biodiversity, and disruptions to critical societal systems by building resilience and mitigating the effects of climate change in the United States.
Tag: Computational Science
Department of Energy awards $4.15 million to Argonne to support collaborations with industry
The U.S. Department of Energy has awarded $4.15 million to Argonne National Laboratory to support collaborations with industry aimed at commercializing promising energy technologies.
Scientists use artificial intelligence to detect gravitational waves
Researchers at Argonne have used artificial intelligence to dramatically reduce the time it takes to process data coming from the Laser Interferometer Gravitational-Wave Observatory.
Argonne announces 2022 Maria Goeppert Mayer Fellows, honoring the legacy of the physics Nobel Laureate
Argonne’s Maria Goeppert Mayer is one of only four women to win the Nobel Prize in physics. Today, on her 115th birthday, Argonne announces the award of its 2022 Maria Goeppert Mayer Fellowship to four outstanding early-career doctoral scientists.
Department of Energy Selects 32 Students for Prestigious Computational Fellowships
Today, the U.S. Department of Energy (DOE) announced the selection of 32 outstanding undergraduate and graduate students across the nation to receive the prestigious DOE Computational Science Graduate Fellowship, jointly managed by the Office of Science and the National Nuclear Security Administration (NNSA).
New AI-based tool can find rare cell populations in large single-cell datasets
MD Anderson researchers have developed a first-of-its-kind AI tool to identify rare groups of biologically important cells from the noise of large, complex single-cell datasets. The new tool, called SCMER, can help reserachers gain new insights across many applications.
Argonne’s Margaret Butler Fellowship offers opportunity to work on exascale computing applications
Now open for applications, Argonne’s Margaret Butler Fellowship in Computational Science offers an opportunity for one postdoc to work at the forefront of scientific computing at the Argonne Leadership Computing Facility.
Lasers, levitation and machine learning make better heat-resistant materials
Argonne scientists across several disciplines have combined forces to create a new process for testing and predicting the effects of high temperatures on refractory oxides.
Using artificial intelligence to recover energy, nutrients and freshwater from municipal wastewater
The Department of Energy has awarded Argonne and partners $2 million to develop an artificial intelligence-assisted system for energy, nutrient and freshwater recovery from municipal wastewater.
Virtual climate conference explores adaptation and resilience
To bring together the country’s brightest minds to think critically about the climate challenges facing the nation and the key capabilities we have to solve them, the U.S. Department of Energy’s Argonne National Laboratory convened a virtual climate conference called “America Resilient.”
Argonne’s 2021 Maria Goeppert Mayer Fellows bring new energy, promise to their fields
The Department of Energy’s Argonne National Laboratory is proud to welcome five new FY21 Maria Goeppert Mayer Fellows to campus, each chosen for their incredible promise in their respective fields.
Argonne National Laboratory climate model helps Pacific Gas and Electric Company combat climate change impacts, including wildfires
Scientists at Argonne developed a climate model that projects future conditions at neighborhood-level scale across the entire United States to help PG&E plan for extreme weather events in California.
FSU COMPUTATIONAL SCIENTIST DEMONSTRATES HOW SUPERNOVAE DETONATE
The mystery of how supernovae fully form and function is one of many secrets of the universe that scientists have yet to unravel, but new work by a Florida State University research team has used theory and computations to show how one class of these luminous stellar explosions go from a slow burn to a brilliant detonation.
New Machine Learning Tool Tracks Urban Traffic Congestion
Using public data from the entire 1,500-square-mile Los Angeles metropolitan area, PNNL researchers reduced the time needed to create a traffic congestion model by an order of magnitude, from hours to minutes.
Argonne team collects Best Paper Award at SC20
The research described in the winning paper is focused on using a high-performance, iterative reconstruction system for noninvasive imaging at synchrotron facilities.
Argonne researchers to share scientific computing advances at SC20 conference
Argonne scientists will attend the virtual SC20 conference to share research advances in areas ranging from exascale computing and big data analysis to AI and quantum computing.
Argonne provides STEM opportunities for more than 800 students during pandemic
The laboratory’s Educational Programs and Outreach department successfully transitioned all of its summer programming to a virtual learning environment.
The high-tech evolution of scientific computing: A slight return
To leverage emerging computing capabilities and prepare for future exascale systems, the Argonne Leadership Computing Facility, a DOE Office of Science User Facility, is expanding its scope beyond traditional simulation-based research to include data science and machine learning approaches.
Machine Learning Scientists Teach Computers to Read X-Ray Images
PNNL researchers used machine learning to develop a tool for a nonprofit to identify orthopedic implants in X-ray images to improve surgical speed and accuracy
Active learning accelerates redox-flow battery discovery
In a new study from the U.S. Department of Energy’s Argonne National Laboratory, researchers are accelerating the hunt for the best possible battery components by employing artificial intelligence.
Blocking the COVID-19 Virus’s Exit Strategy
High school summer students at Brookhaven Lab conduct computational studies, explore inhibitor drugs to disrupt COVID viral proteins that help infectious particles escape from cells.
Scientists use reinforcement learning to train quantum algorithm
Scientists are investigating how to equip quantum computers with artificial intelligence and machine learning approaches.
Virtual lecture series finale connects interns to ongoing COVID-19 research
Students attending the last 2020 Office of Science Summer Internship Virtual Lecture Series seminar learned about how national laboratories are coming together to fight COVID-19.
Argonne conducts largest-ever simulation of flow inside an internal combustion engine
Groundbreaking simulation provides data that could help manufacturers create greener engines.
Summit Helps Predict Molecular Breakups
A team used the Summit supercomputer to simulate transition metal systems—such as copper bound to molecules of nitrogen, dihydrogen, or water—and correctly predicted the amount of energy required to break apart dozens of molecular systems, paving the way for a greater understanding of these materials.
Six Argonne researchers receive DOE Early Career Research Program awards
Argonne scientists Michael Bishof, Maria Chan, Marco Govini, Alessandro Lovato, Bogdan Nicolae and Stefan Wild have received funding for their research as part of DOE’s Early Career Research Program.
Argonne offers mentorship and resources to students in Department of Energy-sponsored graduate student research
As part of the Department of Energy’s Office of Science Graduate Student Research (SCGSR) Program, 62 graduate students were chosen to conduct thesis research across the national laboratory complex, including 12 students at Argonne.
U.S. Department of Energy’s INCITE program seeks proposals for 2021
The INCITE program is now seeking proposals for high-impact, computationally intensive research projects that require the power and scale of DOE’s leadership-class supercomputers.
A step ahead in the race toward ultrafast imaging of single particles
New research from Argonne National Laboratory takes a step toward the “holy grail” of imaging: the ability to see the structure of a single, free-form molecule at atomic resolution.
IMSA High School Internship advances DUNE project and showcases unexplored potential of physics
Argonne National Laboratory’s Illinois Mathematics and Science Academy (IMSA) High School Internship Program has this year’s exceptionally bright high school students working on the Deep Underground Neutrino Experiment (DUNE)’s world-changing research.
Argonne and CERN weigh in on the origin of heavy elements
Nuclear physicists from Argonne National Laboratory led an international physics experiment conducted at CERN that utilizes novel techniques developed at Argonne to study the nature and origin of heavy elements in the universe.
Argonne’s researchers and facilities playing a key role in the fight against COVID-19
Argonne scientists are working around the clock to analyze the virus to find new treatments and cures, predict how it will propagate through the population, and make sure that our supply chains remain intact.
Teamwork Triumphs at 2020 Illinois Regional Middle School Science Bowl
The U.S. Department of Energy’s Argonne National Laboratory Educational Programs and Outreach hosted the 2020 Illinois Regional Science Bowl Competition, where 15 different schools competed in trivia across a wide range of STEM topics.
Argonne looks to power electric aviation with new dynamic system simulation tool
Scientists at Argonne have built software to measure how to conserve energy in flight with 21st century vehicles — including electric and hybrid airplanes and drones.
Scientists pair machine learning with tomography to learn about material interfaces
Researchers have put a new technique based on machine learning to work uncovering the secrets of buried interfaces and edges in a material.
University of Toledo engineering students as future STEM leaders
On Monday, January 13, engineering students from the University of Toledo’s Roy and Marcia Armes Engineering Leaderships Institute (ELI) visited Argonne National Laboratory to prepare themselves for the leadership challenges facing engineers.
Chicago Public School students go beyond coding and explore artificial intelligence with Argonne National Laboratory
The U.S. Department of Energy’s Argonne National Laboratory’s Educational Programs and Outreach department hosted Computer Science for All — Coding and Beyond, in December as a part of the Argonne National Laboratory, Chicago initiative.
Argonne leads award-winning collaboration with Kairos Power that unveils new simulation of nuclear power plants
Argonne scientists won a 2019 R&D 100 award for collaborating with Kairos Power to create software that simulates entire nuclear power plants.
Argonne engineers streamline jet engine design
Argonne scientists are combining one-of-a-kind x-ray experiments with novel computer simulations to help engineers at aerospace and defense companies save time and money.
CFN Staff Spotlight: Xiaohui Qu Bridges the Data Science-Materials Science Gap
As a staff member in the Theory and Computation Group at Brookhaven Lab’s Center for Functional Nanomaterials, Qu applies various approaches in artificial intelligence to analyze experimental and computational nanoscience data.
Playing the angles with dramatic effect
Researchers report the most complete model to date concerning the transition from metal to insulator in correlated oxides. These oxides have fascinated scientists because of their many attractive electronic and magnetic properties.
New Argonne model helps decision makers predict and plan for the future of electrified transportation
Argonne researchers have developed a large-scale computational model that helps decision makers allocate investment in electrified transportation infrastructure and serve consumers interested in owning electric vehicles.
Multi-disciplinary Argonne team puts brakes on vehicle hacking
Will hackers target your car with ransomware? Argonne’s cybersecurity experts gauge the risk of cyberattacks on vehicles.
Argonne researchers to share scientific computing insights at SC19
Several Argonne researchers will attend the Supercomputing 2019 (SC19) conference to share scientific computing advances and insights with an eye toward the upcoming exascale era.
Transforming nuclear research through industry collaboration led by Argonne
Argonne nuclear scientists and engineers are collaborating with private partners in cutting-edge initiatives that will have meaningful impact.
Argonne training program prepares researchers for scientific computing in the exascale era
From July 28 to Aug. 9, 73 students participated in the 2019 Argonne Training Program on Extreme-Scale Computing (ATPESC) organized by the U.S. Department of Energy’s (DOE) Argonne National Laboratory and funded by DOE’s Exascale Computing Project (ECP).
AI technique does double duty spanning cosmic and subatomic scales
While high-energy physics and cosmology seem worlds apart in terms of sheer scale, physicists and cosmologists at Argonne are using similar machine learning methods to address classification problems for both subatomic particles and galaxies.
Argonne harnesses virtual power to address the most complex challenges in nuclear science
Designing a new type of nuclear reactor is a complicated endeavor requiring billions of dollars and years of development. Because of the high cost, Argonne researchers are running a broad suite of computational codes on supercomputers that offer power available at only a few sites worldwide.
Argonne harnesses virtual power to address the most complex challenges in nuclear science
Designing a new type of nuclear reactor is a complicated endeavor requiring billions of dollars and years of development. Because of the high cost, Argonne researchers are running a broad suite of computational codes on supercomputers that offer power available at only a few sites worldwide.
Predicting the risk of cancer with computational electrodynamics
A team of researchers from Northwestern University is using Argonne supercomputers to develop a low-cost, high-throughput optical microscopy technique capable of detecting macromolecular alterations for predicting and quantifying cancer risks at extremely early stages.