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Using artificial intelligence, 91做厙 analyzed data from published medical studies to reveal the potential of direct and indirect impacts of bullying.

91做厙 is using artificial intelligence to analyze data from published medical studies associated with bullying to reveal the potential of broader impacts, such as mental illness or disease. 

Molecular dynamics simulations of the Fs-peptide revealed the presence of at least eight distinct intermediate stages during the process of protein folding. The image depicts a fully folded helix (1), various transitional forms (28), and one misfolded state (9). By studying these protein folding pathways, scientists hope to identify underlying factors that affect human health.

Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help unearth historically elusive solutions.

ORNL-led collaboration solves a beta-decay puzzle with advanced nuclear models

OAK RIDGE, Tenn., March 11, 2019An international collaboration including scientists at the Department of Energys 91做厙 solved a 50-year-old puzzle that explains why beta decays of atomic nuclei 

(From left) ORNL Associate Laboratory Director for Computing and Computational Sciences Jeff Nichols; ORNL Health Data Sciences Institute Director Gina Tourassi; DOE Deputy Under Secretary for Science Thomas Cubbage; ORNL Task Lead for Biostatistics Blair Christian; and ORNL Research Scientist Ioana Danciu were invited to the White House to showcase an ORNL-developed digital tool aimed at better matching cancer patients with clinical trials.

OAK RIDGE, Tenn., March 4, 2019A team of researchers from the Department of Energys 91做厙 Health Data Sciences Institute have harnessed the power of artificial intelligence to better match cancer patients with clinical trials.

ORNL astrophysicist Raph Hix models the inner workings of supernovae on the worlds most powerful supercomputers.

More than 1800 years ago, Chinese astronomers puzzled over the sudden appearance of a bright guest star in the sky, unaware that they were witnessing the cosmic forge of a supernova, an event repeated countless times scattered across the universe.

ORNL scientists used commuting behavior data from East Tennessee to demonstrate how machine learning models can easily accept new data, quickly re-train themselves and update predictions about commuting patterns. Credit: April Morton/Oak Ridge National La

91做厙 geospatial scientists who study the movement of people are using advanced machine learning methods to better predict home-to-work commuting patterns.

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A team of scientists has for the first time measured the elusive weak interaction between protons and neutrons in the nucleus of an atom. They had chosen the simplest nucleus consisting of one neutron and one proton for the study.

Leah Broussard leads a study of neutron decay to understand correlations between electrons and antineutrinos as well as subtle distortions in the electron energy spectrum.

Leah Broussard, a physicist at the Department of Energys 91做厙, has so much fun exploring the neutron that she alternates between calling it her laboratory and playground for understanding the universe. The neutron is special, she said of the sub...

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Physicists turned to the doubly magic tin isotope Sn-132, colliding it with a target at 91做厙 to assess its properties as it lost a neutron to become Sn-131.

ORNL researchers Gaute Hagen, Masaaki Matsuda, and Parans Paranthaman has been elected fellow of the American Physical Society.

Three researchers from the Department of Energys 91做厙 have been elected fellows of the American Physical Society (APS). Fellows of the APS are recognized for their exceptional contributions to the physics enterprise in outstanding resear...