Feature Stories | Argonne National Laboratory

Active learning accelerates redox-flow battery discovery

September 23, 2020

Feature Story

Automatic database creation for materials discovery: Innovation from frustration

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

September 22, 2020 | Computational Materials Science, Artificial Intelligence, Analytical Chemistry

Auto-generating an ultraviolet-visible (UV-vis) absorption spectral database via a dual experimental and computational chemical data pathway using the ALCF’s Theta supercomputer.

Feature Story

Autonomie goes off-road

September 14, 2020 | Energy Systems, Transportation, Vehicle Technologies

Feature Story

Argonne cuts ribbon on expanded Materials Engineering Research Facility to enhance nation’s future manufacturing competitiveness

Leaders from U.S. Department of Energy and Argonne cut the ribbon on a new era of manufacturing.

September 10, 2020 | Artificial Intelligence, Energy Technology and Storage, Manufacturing Engineering

Officials from the U.S. Department of Energy and Argonne National Laboratory join Deputy Secretary of Energy Mark Menezes and Argonne Director Paul Kearns to cut the ribbon on the expanded Materials Engineering Research Facility on September 10, 2020. (Image by Argonne National Laboratory.)

Feature Story

Lead lab selected for next-generation cosmic microwave background experiment

“Big science” project will explore origins of the universe and the cosmic frontier.

September 09, 2020 | Astronomy and Astrophysics, Cosmology, Computational Cosmology

Argonne built the detectors for the polarization-sensitive camera that is currently installed on the South Pole Telescope. (Argonne built the detectors for the polarization-sensitive camera that is currently installed on the South Pole Telescope. ("Image by Daniel Luong-Van, National Science Foundation.).)

Feature Story

Virtual ALCF workshop helps participants boost supercomputer performance

Virtual ALCF workshop helps researchers advance code development for leadership-class supercomputers.

September 09, 2020 | High Performance Computing

Argonne computational scientist Colleen Bertoni provides an overview of the OpenMP programming model at the virtual ALCF Computational Performance Workshop. (Image by Argonne National Laboratory.)

Reexamining host materials for lithium-sulfur batteries

September 08, 2020

Feature Story

Students connect STEM skills to real-world challenges through the 2020 Virtual Big Data Camp

At Argonne’s 2020 Virtual Big Data Camp, high school students discovered professional uses for their STEM and data skills, while also becoming immersed in Argonne’s dynamic science community.

September 01, 2020 | Computational Science, Computational Methods, Computer Science and Engineering

High school students taking part in Big Data Camp meet virtually with Guadalupe Medina (upper left), a Community College Internship (CCI) Program intern working in Argonne’s Strategic Security Sciences Division (specifically in cybersecurity).

Feature Story

Argonne researchers develop new chip design for analyzing plant-microbe interactions

Newly designed microfluidic device enables researchers to observe plant root-microbe interactions in real time.

August 31, 2020 | Microbiology, Plant Science, Scientific User Facilities

Scientists discovered a way to gain new insights about how plant roots interact with soil microbes in mutually beneficial ways using a newly designed microfluidic device. (Image by Lidiane Miotto / Shutterstock.)

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Department of Energy selects Argonne to lead national quantum center

Q-NEXT will tackle next-generation quantum science challenges through a public-private partnership, ensuring U.S. leadership in an economically crucial arena.

August 26, 2020 | Quantum Computing, National Security, Sensors and Detectors

Capabilities at the Quantum Matter and Devices laboratory at Argonne’s Center for Nanoscale Materials, a U.S. Department of Energy Office of Science User Facility, aid in development of quantum materials and devices. Here, Argonne scientist Dafei Jin observes a dilution refrigerator, a cryogenic cooling device for materials used for quantum computing. (Image by Mark Lopez / Argonne National Laboratory.)

Feature Story

Scientists use reinforcement learning to train quantum algorithm

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

August 25, 2020 | Applied Mathematics and Statistics, Optimization, Computational Science

A visualization of the trajectory produced by the learned RL policy on one QAOA test problem with two parameters. The policy takes strides in the energy landscape of the parameter space towards a maximum. (Image by Prasanna Balaprakash / Argonne National Laboratory.)