The growing global demand for advanced porous materials for a wide range of applications has spurred significant interest in metal–organic frameworks (MOFs). These structures are …
In this paper, we introduce an improved water strider algorithm designed to solve the inverse form of the Burgers-Huxley equation, a nonlinear partial differential equation. Additionally, …
In this research paper, we propose a novel approach that combines deep Q-networks with context-free grammars to solve differential equations symbolically. Our method utilizes the …
In this paper, we introduce a novel and robust approach that integrates the Monte Carlo tree search algorithm with a physics-informed neural network methodology to approximate …
We examine gender bias in media by tallying the number of men and women quoted in news text, using the Gender Gap Tracker, a software system we developed specifically for this …
Current paper studies a new solar still system integrated with semitransparent photovoltaic, evacuated tube collectors and phase change materials. Mathematical modeling has been …
This study presents an innovative framework that integrates physics-informed neural networks with Monte Carlo tree search to develop an approximate analytical solution for the Thomas…
Objective: To investigate the entire spinal cord (SC) of multiple sclerosis (MS) patients with biplanar MRI and to relate these MRI findings to clinical functional scores. Methods: Two …
water level (GWL) fluctuations simulation can be divided into three general categories: Analytical solution, conceptual or physical-based models, and data-based or data-driven models. …
Metal–organic frameworks (MOFs) have traditionally been valued for their stability, which is crucial for applications in catalysis, separation, and storage. However, instability, often …