A multidisciplinary ORNL team used expertise in synthetic biology, AI-driven analysis, chemistry, neutrons and materials science to identify new members of a family of enzymes with a natural affinity for degrading synthetic nylon polymers.
A multidisciplinary team of researchers from Oak Ridge National Laboratory (ORNL) and other institutions created a Machine Learning (ML) library for the training of classifiers on spectrographic chemical data.
In this work we were able to successfully fabricate interface consisting of two layers of Lipon ionic conductor and observe formation of metallic lithium as tree-like structures confined to this interface.
This work studies deformation of EV battery module under external mechanical loading and effect of inactive module components on module failure.
Researchers conduct unprecedented study on GPUs of damaging, high-frequency shaking When the last massive earthquake shook the San Andreas Fault in 1906—causing fires that burned down most of San Francisco and leaving half the city’s population homeless—
Petaflop computing simulates signaling in a receptor complex of 400,000 atoms Scientists want to manipulate cell behavior for a lot of reasons.
Eos, a Cray XC30 system has 744 nodes divided among four cabinets, is one of the OLCF's newest computing resources.