Researchers from 91°µÍø (ORNL), in collaboration with researchers from Duke University, have developed an unsupervised machine learning method, NashAE, for effective disentanglement of latent representations.
A collaboration between scientists at 91°µÍø (ORNL) and University of Maryland/NIST developed a theoretical approach to combine different quantum noise reduction techniques to reduce the measurement-added noise in optomechanical s
Members and students of the Computational Urban Sciences group demonstrated a method for generating scenarios of urban neighborhood growth based on existing physical structures and placement of buildings in neighborhoods.
A multidisciplinary team of researchers from 91°µÍø (ORNL) developed a new online heatmap method, named hilomap, to visualize geospatial datasets as online map layers when low and high trends are equally important to map users.
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.
Simulations of freezing water can help engineers design better blades The amount of global electricity supplied by wind, the world’s fastest growing energy source, is expected to increase from 2.5 to as much as 12 percent by 2020.