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.

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Virtual reality: ALCF’s remote interns tackle real-world computing projects

The Argonne Leadership Computing Facility’s internship program went virtual this year, providing students with an opportunity to work on real-world research projects that address issues at the forefront of scientific computing.

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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.

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Automatic database creation for materials discovery: Innovation from frustration

A collaboration between the University of Cambridge and Argonne has developed a unique method of generating automatic databases to support specific fields of science using AI and high-performance computing.

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Scientists use reinforcement learning to train quantum algorithm

Scientists are investigating how to equip quantum computers with artificial intelligence and machine learning approaches.

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Filling in the blanks: How supercomputing can aid high-resolution X-ray imaging

Scientists are preparing for the increased brightness and resolution of next-generation light sources with a computing technique that reduces the need for human calculations to reconstruct images.

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Argonne scientists use artificial intelligence in new way to strengthen power grid resiliency

A new artificial neural network model, created by Argonne scientists, handles both static and dynamic features of a power system with a relatively high degree of accuracy.

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Argonne conducts largest-ever simulation of flow inside an internal combustion engine

Groundbreaking simulation provides data that could help manufacturers create greener engines.

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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.

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Argonne’s new menu of data storage software helps scientists realize findings earlier

A research team, led by Argonne, is developing a new data navigation system called Mochi that will provide scientists with a menu of data services they can rapidly combine and customize to suit the particular needs of a specific science domain.

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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.

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