Results 211 to 220 of about 41,878 (278)
The principles behind equivariant neural networks for physics and chemistry. [PDF]
Kondor R.
europepmc +1 more source
Interaction of Dirac δ$$ \delta $$‐Waves in the Inviscid Levine and Sleeman Chemotaxis Model
ABSTRACT This article investigates interactions of δ$$ \delta $$‐shock waves in the inviscid Levine and Sleeman chemotaxis model ut−λ(uv)x=0$$ {u}_t-\lambda {(uv)}_x=0 $$, vt−ux=0$$ {v}_t-{u}_x=0 $$. The analysis employs a distributional product and a solution concept that extends the classical solution concept.
Adelino Paiva
wiley +1 more source
Physics-Informed Emulation of Systemic Circulation for Fast Parameter Estimation and Uncertainty Quantification. [PDF]
Ryan W +4 more
europepmc +1 more source
This review focuses on solar‐driven interfacial evaporation (SIE) for sustainable desalination, covering material design, performance, and applications. It also discusses current challenges and future directions, positioning SIE as a key technology to address global water scarcity. ABSTRACT The global freshwater crisis, intensified by population growth
Jiugang Li +10 more
wiley +1 more source
β-Fractional [Formula: see text]-dimensional generalized KP model: nonlinear dynamical behaviors, analytical wave structures, bifurcation, and sensitivity analysis. [PDF]
Demirbilek U +4 more
europepmc +1 more source
The first regional survey of spontaneous plant communities across 17 cities on the Qinghai‐Tibet Plateau shows that natural climatic conditions, especially precipitation and wind speed, are the primary drivers of variation in community diversity, while urbanization and habitat quality jointly structure plant community composition.
Lin He +11 more
wiley +1 more source
Investigating the use of physics informed neural networks for dam-break scenarios. [PDF]
Mumtaz K +3 more
europepmc +1 more source
The configuration of WSN design parameters presents a formidable multi‐objective optimization challenge characterized by five competing objectives that exhibit complex interdependencies. Figure 1 illustrates a typical WSN deployment topology showing sensor nodes, cluster heads, coverage areas, and various network conditions including out‐of‐range ...
Sandeep Deshmukh +8 more
wiley +1 more source
A unified concatenation model for plasma physics: Integrability and soliton solutions. [PDF]
Zayed EME +3 more
europepmc +1 more source

