Argonne National Laboratory

Artificial Intelligence

Accelerating science, driving innovation

Argonne researchers across the laboratory complex are using AI to design better materials and processes, safeguard the nation’s power grid, accelerate medical treatments, automate traditional research, and drive discovery.

Armed with some of the world’s brightest minds and best computing resources, Argonne is at the forefront of AI research, playing an integral role in applying innovative AI methods to solve problems and change lives.

Primary photo of Argonne campus

Awards and Recognition

Argonne researchers win three 2023 R&D 100 Awards

The R&D 100 Awards have recognized three projects involving Argonne and partners as 2023 winners.

Computational Science, Computational Environmental Science, High Performance Computing

Argonne researchers are pioneering the next generation of scientific experimentation. Autonomous discovery harnesses robotics, machine learning and AI to solve big problems in climate, human health and energy faster than ever before.

Feature Story

Autonomous discovery defines the next era of science

Argonne National Laboratory is tackling the world’s most challenging problems faster than ever before by using robotics, artificial intelligence and machine learning to automate science.

Biology, Microbiology, Chemistry

Photo of hands on keyboard, floating locks images. (Image by Shutterstock/Song_about_summer.)

Research Highlight

Making machine learning safer for biomedicine

PALISADE-X aims to provide the security necessary to study life-threatening medical issues without violating patient privacy.

Biomedical Computing, Modeling and Simulation, Artificial Intelligence

Person at a computer with digital renderings on it.

Feature Story

A stitch in virtual time saves nine in real time

An Argonne team is working on digital twin software that will help the thousands of users of Department of Energy facilities employ their time there wisely.

Computer Science and Engineering, Artificial Intelligence, Machine Learning

The COVID-19 pandemic has piqued interest in antibody therapies. (Image by Shutterstock.)

Feature Story

Researchers use Argonne X-rays to find the best antibodies

Antibody therapies have a variety of uses, but we need to know which therapies work and which ones don’t. Recent research has discovered a means to determine how effective certain antibodies can be in medical scenarios.

Biology, Animal Biology, Structural Biology

Related Organizations

Under the guidance of both the Office of Science and the National Nuclear Security Administration, the DOE national laboratories organized a series of workshops in 2022 to gather input on new and rapidly emerging opportunities and challenges of scientific AI. This 2023 report is a synthesis of those workshops.

Featured Projects

Computing, Environment And Life Sciences

Photon Sciences

Machine Learning Prognosis for Battery Life and Performance

Argonne’s AI-driven approach to diagnosing Li-ion battery health could help accelerate development of new battery chemistries and improve cell performance.

PtychoNN Uses Neural Networks for Faster X-ray Imaging

Argonne scientists are using artificial intelligence techniques to decode X-ray images faster, which could aid innovations in medicine, materials, and energy.

Advanced Energy Technologies /
Nuclear Technologies and National Security

Physical Sciences And Engineering

Artificial Intelligence for Improved Grid Operations and Planning

Argonne employs novel approach to enhance grid operators’ computational capabilities

Enhanced Isotope Classification for Nuclear Reactions

Implementation of a machine-learning-based technique provides a new level of sensitivity for data collected in nuclear reactions.

Artificial Intelligence Focus Areas

Artificial intelligence for science will transform science and accelerate discoveries

Chemistry, Materials, and Nanoscience

Environment and Climate

Biology and Life Sciences

High-Energy Physics, Nuclear Physics, and Fusion Energy Science

Engineering / Manufacturing and Smart Energy

Computer Science and Software

Hardware Architectures and Edge Computing

Control and Instrumentation

Imaging

MEET OUR PEOPLE

Argonne researchers are fundamentally changing the foundation of the scientific discovery process using artificial intelligence.

View More AI Researchers at Argonne

Fangfang Xia

Computer Scientist

Salman Habib

Division Director

Walter Howard Hopkins

Assistant Physicist

Maria K. Chan

Scientist, Nanoscience

Vincent De Andrade

Physicist

Elise Jennings

Computer Science 3

Arvind Ramanathan

Computational Science Leader 1

Doga Gursoy

Computational Scientist

Mathew Joseph Cherukara

Computational Scientist, Group Leader

Sibendu Som

Director Advanced Propulsion and Power Department; Director AI Applications Initiative

Feng Qiu

Group Leader, Advanced Grid Modeling - Optimization and Analytics

Angel Yanguas-Gil

Principal Materials Scientist

Michael David Borland

Associate Division Director, Argonne Distinguished Fellow

News

Learn more about Argonne’s initiatives in Artificial Intelligence

MCS staff play key role in Argonne extreme-scale training program

September 05, 2023

Argonne researchers win three 2023 R&D 100 Awards

August 23, 2023

Autonomous discovery defines the next era of science

August 16, 2023

In the News

Three top takeaways from the Senate Energy committee hearing on DOE and AI

September 08, 2023 | Nexus

In the News

Three top takeaways from the Senate Energy committee hearing on DOE and AI

September 08, 2023 | Nexus

At Senate hearing, lawmakers zero in on federal AI research goals, risks

September 07, 2023

EVENTS

Argonne brings together the leading experts in Artificial Intelligence to drive science forward

AI Distinguished Lecture Series

Argonne’s AI Distinguished Lecture Series feature pioneers and innovators from around the world conducting research in foundational and applied AI. The lectures cover a wide variety of topics in academia, industry, finance and technology.

Learn More

ALCF AI for Science Training Series

ALCF is hosting a series of hands-on AI for Science courses that will teach attendees to use leading-edge supercomputers to develop and apply AI solutions for the world’s most challenging problems.

Learn More