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New framework applies machine learning to atomistic modeling


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Northwestern University researchers have developed a new framework using machine learning that improves the accuracy of interatomic potentials the guiding rules describing how atoms interact in new materials design. The findings could lead to more accurate predictions of how new materials transfer heat, deform, and fail at the atomic scale.
Designing new nanomaterials is an important aspect of developing next-generation devices used in electronics, sensors, energy harvesting and storage, optical detectors, and structural materials. To design these materials, researchers create interatomic potentials through atomistic modeling, a computational approach that predicts how these materials behave by accounting for their properties at the smallest level. The process to establish materials interatomic potential called parameterization has required significant chemical and physical intuition, leading to less accurate prediction of new materials design. ....

Jose Mendoza , Xu Zhang , Nancyj Farley , Horacio Espinosa , Jeffreyt Paci , Hoang Nguyen , Subramanian Sankaranarayanan , University Of Victoria , Michigan State University , Us Department Of Energy Office Science , National Science Foundation , Nanoscale Materials At Argonne National Laboratory , Office Of Basic Energy Sciences , Office Of Science , Argonne National Laboratory , Northwestern University , Interatomic Potentials , Statistical Analyses , Case Study , Nature Partner Journals , Northwestern Engineering , Applied Mechanics , Michigan State , Nanoscale Materials , Quest High Performance Computing Cluster , Basic Energy Sciences ,

Giant Comet Found in Outer Solar System by Dark Energy Survey


Giant Comet Found in Outer Solar System by Dark Energy Survey
Estimated to be 100–200 kilometers across, the unusual wandering body will make its closest approach to the Sun in 2031
Dark Energy Survey/DOE/FNAL/DECam/CTIO/NOIRLab/NSF/AURA/P. Bernardinelli Array G. Bernstein (UPenn)/DESI Legacy Imaging Surveys. Music by Zero-project :Through the Looking Glass (zero-project.gr) Acknowledgments: T.A. Rector, M. Zamani & J. Miller
Zooming on Comet Bernardinelli-Bernstein. This zoom shows an image from the Dark Energy Survey (DES) composed of some of the discovery exposures showing Comet Bernardinelli-Bernstein collected by the 570-megapixel Dark Energy Camera (DECam) mounted on the Víctor M. Blanco 4-meter Telescope at Cerro Tololo Inter-American Observatory (CTIO) in Chile. ....

United States , University Of Chicago , United Kingdom , Kitt Peak National Observatory , University Of Illinois , Comunidad Autonoma De Extremadura , South Korea , Republic Of Korea , Gary Bernstein , Cerro Pach , Verac Rubin , Carlos Chagas Filho , Iolkam Duag Kitt , Tod Lauer , Chris Davis , Pedro Bernardinelli , Deutsche Forschungsgemeinschaft , Estudose Projetos , Cerro Tololo , Fermi Research Alliance , Technology Facilities Council Of The United Kingdom , Higher Education Funding Council For England , Office Of Science , National Accelerator Laboratory , Kavli Institute Of Cosmological Physics , Department Of Energy ,