首页|Study Data from Los Alamos National Laboratory Update Knowledge of Machine Learn ing (Modeling Plasticity-mediated Void Growth At the Single Crystal Scale: a Phy sics-informed Machine Learning Approach)
Study Data from Los Alamos National Laboratory Update Knowledge of Machine Learn ing (Modeling Plasticity-mediated Void Growth At the Single Crystal Scale: a Phy sics-informed Machine Learning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Los Alamos, New Mex ico, by NewsRx correspondents, research stated, “Modeling theevolution of voids during plastic flow as well as their effects on plastic dissipation is critical for bothcomponent manufacturing and lifetime estimation purposes. To this end, we propose a rate-dependentconstitutive model to homogenize the effects of sem i-randomly distributed voids on single crystal plasticitywhilst capturing void interaction and plastic anisotropy.”
Los AlamosNew MexicoUnited StatesN orth and Central AmericaCyborgsEmerging TechnologiesMachine LearningLos Alamos National Laboratory
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