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Argonne National Laboratory is shaping Industry 4.0 with groundbreaking research into advanced ways of making things more effective, efficient and economical, using the most cutting-edge materials and processes, with the lowest possible environmental impact.
Argonne researchers have tapped into the power of AI to create a new form of autonomous microscopy.
The U.S. Department of Energy has renewed the Midwest Integrated Center for Computational Materials. Its mission is to apply theoretical methods and software to the understanding, simulation and prediction of material properties at the atomic scale.
A new computational effort between Argonne and 3M promises to reduce energy consumption without sacrificing material quality in the production of nonwoven plastics, commonly used in surgical masks.
Computer simulations can help us understand interactions in materials for solar energy harvesting, but they can be extremely complex. Researchers at Argonne have simplified these modeling tasks using machine learning to speed up materials development.
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.
Stepping into their superhero gear, Argonne scientists are using science and the world’s best technology to combat some of Earth’s toughest foes, from pollution to climate change.
A multidisciplinary research team has developed a strategy to validate computer simulations of oxide/water interfaces at the atomic scale using X-ray reflectivity experiments. Such interfaces are key in many energy applications.
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.
Argonne scientists use temperature data to tune — and fix — defects in 3D-printed metallic parts.
Scientists at Argonne and the University of Chicago have developed a method paving the way to using quantum computers to simulate realistic molecules and complex materials. They tested the method on a quantum simulator and IBM quantum computer.
Scientists performed simulations of merging rotating superfluids, revealing a peculiar corkscrew-shaped mechanism that drives the fluids into rotation without the need for viscosity.
In a recent theoretical study, scientists discovered the presence of the Hopfion topological structure in nano-sized particles of ferroelectrics — materials with promising applications in microelectronics and information technology.
A team of researchers co-led by Berkeley Lab has observed unusually long-lived wavelike electrons called “plasmons” in a new class of electronically conducting material. Plasmons are very important for determining the optical and electronic properties of metals.
Galli elected to both the American Academy of Arts and Sciences and the National Academy of Sciences.
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