Exact wave structures with stochastic effects in birefringent optical fibers modeled by cubic-quintic-septic nonlinear Schrödinger equation. [PDF]
Rabie WB +3 more
europepmc +1 more source
The substitution theorem for semilinear stochastic partial differential equations
Salah-Eldin A. Mohammed, Tusheng Zhang
openalex +1 more source
Stochastic Partial Differential Equations Driven by Purely Spatial Noise [PDF]
Sergey V. Lototsky, B. L. Rozovskiĭ
openalex +1 more source
Inspired by natural light‐harvesting systems, this study computationally investigates a synthetic antenna by arranging cationic free‐base porphyrin molecules on an anionic clay surface. Using a multiscale quantum mechanics/molecular mechanics (QM/MM) approach combined with a multifidelity machine learning method, excitation energies are predicted ...
Dongyu Lyu +7 more
wiley +1 more source
Transmission dynamics of mumps epidemic model through stochastic analysis with delay effect. [PDF]
Raza A +5 more
europepmc +1 more source
TVB C++: A Fast and Flexible Back‐End for The Virtual Brain
TVB C++ is a streamlined and fast C++ Back‐End for The Virtual Brain (TVB), designed to make it as flexible as TVB, and FAST. Another pillar is to be fully compatible with TVB so easy bindings can be created from Python. Users can easily configure TVB C++ to execute the same code but with enhanced performance and parallelism.
Ignacio Martín +7 more
wiley +1 more source
Mathematical Modeling of Population Dynamics of Pollinators: A Survey. [PDF]
Huancas F +3 more
europepmc +1 more source
Mean-Field Backward Stochastic Differential Equations and Related Partial Differential Equations
Rainer Buckdahn, Juan Li, Shigē Péng
openalex +2 more sources
CRCFound: A Colorectal Cancer CT Image Foundation Model Based on Self‐Supervised Learning
CRCFound is a self‐supervised learning‐based CT image foundation model for colorectal cancer (CRC). Pretrained on 5137 unlabeled CRC CT images, it learns universal feature representations, enabling efficient adaptation to various clinical tasks. The model demonstrates outstanding performance and generalization across multiple diagnostic and prognosis ...
Jing Yang +13 more
wiley +1 more source
Accelerated First-Passage Dynamics in a Non-Markovian Feedback Ornstein-Uhlenbeck Process. [PDF]
Coghi F, Duvezin R, Wettlaufer JS.
europepmc +1 more source

