Results 171 to 180 of about 32,424,344 (291)

Modeling Transient Groundwater Flow in Unconfined Aquifers Under Dynamic Conditions Using Physics‐Informed Neural Networks

open access: yesWater Resources Research, Volume 62, Issue 3, March 2026.
Abstract Deep learning neural networks (DLNNs) hold great potential for modeling groundwater flow, but their performance depends on data availability. Physics‐informed neural networks (PINNs) help to reduce the reliance of DLNNs on data by integrating physical laws into the training process. This approach is increasingly used in applications related to
Adhish Virupaksha   +5 more
wiley   +1 more source

Modeling the Drying Process of CO2‐Water in Porous Media With a Novel Volume‐of‐Fluid Lattice Boltzmann Model

open access: yesWater Resources Research, Volume 62, Issue 3, March 2026.
Abstract Lattice Boltzmann (LB) modeling has been extensively applied to porous media processes, including evaporation. Former pore‐scale LB models for evaporation rely on oversimplified assumptions, such as matched viscosities. However, in subsurface CO2 ${\text{CO}}_{2}$–brine systems, the viscosity ratio can exceed 100 under relevant temperature ...
Saleh Mohammadrezaei   +2 more
wiley   +1 more source

Numerical Study of a Nonlocal Nonlinear Schrödinger Equation (MMT Model)

open access: yesStudies in Applied Mathematics, Volume 156, Issue 3, March 2026.
ABSTRACT In this paper, we study a nonlocal nonlinear Schrödinger equation (MMT model). We investigate the effect of the nonlocal operator appearing in the nonlinearity on the long‐term behavior of solutions, and we identify the conditions under which the solutions of the Cauchy problem associated with this equation are bounded globally in time in the ...
Amin Esfahani, Gulcin M. Muslu
wiley   +1 more source

High-concurrency tri-mode memristor-based ordinary differential equation solver. [PDF]

open access: yesNat Commun
Yu L   +12 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy