首页|Investigators from Institute of Applied Physics and Computational Mathematics Zero in on Networks (Discontinuity Computing Using Physics-informed Neural Networks)

Investigators from Institute of Applied Physics and Computational Mathematics Zero in on Networks (Discontinuity Computing Using Physics-informed Neural Networks)

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By a News Reporter-Staff News Editor at Network Daily News - Current studyresults on Networks have been published. According to news reporting originating in Beijing, People’sRepublic of China, by NewsRx journalists, research stated, “Simulating discontinuities has been a longstandingchallenge, especially when dealing with shock waves characterized by strong nonlinear features.Despite their promise, the recently developed physics-informed neural networks (PINNs) have not yet fullydemonstrated their effectiveness in handling discontinuities when compared to traditional shock-capturingmethods.”

BeijingPeople’s Republic of ChinaAsiaNetworksNeural NetworksInstitute of Applied Physics and Computational Mathematics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jan.25)