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DOE Awards 18M Node-Hours of Computing Time to Support Cutting-Edge Research

DOE Awards 18M Node-Hours of Computing Time to Support Cutting-Edge Research
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United statesOak ridgeOffice of advanced scientific computing researchDepartment of energyNational cancer instituteScientific computing researchLawrence berkeley national laboratoryUs department of energyDesign of advanced computing solutions for cancerOak ridge national laboratoryArgonne national laboratoryNational energy research scientific computing centerLeadership computing challengeArgonne leadership computing facilityOak ridge leadership computing facilityBarb helland

Katherine Yelick Receives the 2022 CRA Distinguished Service Award

March 3, 2022 The Computing Research Association (CRA) today announced it has selected Katherine Yelick, the Robert S. Pepper Distinguished Professor

United statesKatherine yelickKim hazelwood metaUniversity of californiaExascale computing initiativeNational energy research scientific computingComputing research associationFacebook ai researchDiana franklin university of chicagoComputing sciencesComputing solutionsTimothy pinkston university of southern californiaTechnology committeeSelection committeeDepartment of energyService award

Researchers Use Machine Learning to Model Proteins Linked to Cancer

Lawrence Livermore National Laboratory (LLNL) researchers and a multi-institutional team of scientists have developed a machine learning-backed model showing the importance of lipids to the signaling dynamics of RAS, a

Helgi ingolfssonLawrence livermore national laboratoryDepartment of energyProceedings of the national academy sciencesNational cancer instituteDesign of advanced computing solutions for cancerNational academyJoint designAdvanced computing solutionsProceedings of the national academy sciencesUltiscale machine learned modeling infrastructureHelgi ingolfssonOint design of advanced computing solutions for cancerDepartment of energyNational cancer institute

LLNL Scientists Use Sierra Supercomputer to Develop Cancer Model

Jan. 10, 2022 — Lawrence Livermore National Laboratory researchers and a multi-institutional team of scientists have developed a highly detailed, [.]

United statesSan jose state universityLawrence livermore national laboratorySan franciscoBrian van essenFred streitzYue yangShusen liuJim glosliRandy wongTim carpenterGautham dharumanXiaohua zhangTomas oppelstrupAdam moodyHelgi ingolfsson

Multiscale model reveals the importance of lipids to the signaling dynamics of RAS proteins

Lawrence Livermore National Laboratory researchers and a multi-institutional team of scientists have developed a highly detailed, machine learning-backed multiscale model revealing the importance of lipids to the signaling dynamics of RAS, a family of proteins whose mutations are linked to numerous cancers.

United statesSan jose state universityLawrence livermore national laboratorySan franciscoBrian van essenFred streitzYue yangShusen liuJim glosliEmily hendersonTim carpenterGautham dharumanXiaohua zhangTomas oppelstrupAdam moodyHelgi ingolfsson