A deep neural network for operator learning enhanced by attention and gating mechanisms for long-time forecasting of tumor growth
Forecasting tumor progression and assessing the uncertainty of predictions play a crucial
role in clinical settings, especially for determining disease outlook and making informed …
role in clinical settings, especially for determining disease outlook and making informed …
[HTML][HTML] Efficient Numerical Implementation of the Time-Fractional Stochastic Stokes–Darcy Model
This paper presents an efficient numerical method for the fractional-order generalization of
the stochastic Stokes–Darcy model, which finds application in various engineering …
the stochastic Stokes–Darcy model, which finds application in various engineering …
Effective perpendicular boundary conditions in phase-field models using Dirichlet boundary conditions
S Kwak, S Ham, J Wang, H Kim, J Kim - Engineering with Computers, 2025 - Springer
The primary objective of this study is to present the temporal and spatial evolution dynamics
of two-and three-dimensional phase-field models with Dirichlet boundary conditions on …
of two-and three-dimensional phase-field models with Dirichlet boundary conditions on …
Decoding complex transport patterns in flow-induced autologous chemotaxis of multicellular systems
Cell migration via autologous chemotaxis in the presence of interstitial fluid flow is important
in cancer metastasis and embryonic development. Despite significant recent progress, our …
in cancer metastasis and embryonic development. Despite significant recent progress, our …
Mathematical Modeling and Simulation of Tumor-Induced Angiogenesis in Retinal Hemangioblastoma
Retinal Hemangioblastoma (RH) is the most frequent manifestation of the von Hippel-Lindau
syndrome (VHL), a rare disease associated with the germline mutation of the von Hippel …
syndrome (VHL), a rare disease associated with the germline mutation of the von Hippel …