Read the latest articles of Journal of Computational Physics at ScienceDirect.com, Elsevier’s leading platform of peer-reviewed scholarly literature

2022年3月15日 · We propose a method for training neural networks in PDE systems. The training requires sparse observations only. We develop techniques for both explicit and implicit …

2022年1月15日 · In this paper, we propose new BDF schemes of first-order (BDF1) and second-order accuracy (BDF2 and EsBDF2): the coupled term − χ ρ ϕ involved in two equations of ρ …

2022年1月15日 · For inverse problems in shock hydrodynamics, we propose inductive biases for discovering thermodynamically consistent equations of state that guarantee hyperbolicity. This …

Journal of Cybersecurity and Privacy, Volume 1 (2021) J. Cybersecur. Priv., EISSN 2624-800X, Published by MDPI. Journal of Cybersecurity and Privacy, an international, peer-reviewed …

Read the latest articles of Journal of Computational Physics at ScienceDirect.com, Elsevier’s leading platform of peer-reviewed scholarly literature

2021年12月1日 · Physics-informed machine learning of reduced-order model without requirement of extra high-fidelity snapshots. A PINN trained by minimizing the residual loss of the reduced …

Since its launch in 1998 as the open, inclusive process to develop and revise Java technology specifications, reference implementations, and technology compatibility kits, the Java …

2021年7月20日 · The first JCPenney Beauty will launch at select stores across the country and jcp.com beginning October 2021. The nationwide store rollout will begin in Fall 2022, with the …

2022年1月1日 · In this paper, we consider artificial neural networks for inverse scattering problems. As a working model, we consider the inverse problem of recovering a scattering …