AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
ABSTRACT Alzheimer's disease (AD) is a debilitating neurodegenerative condition characterized by progressive cognitive impairment, memory deterioration, and neuronal dysfunction. Its complex pathophysiology involves multiple interlinked processes, including amyloid‐β (Aβ) aggregation, tau hyperphosphorylation, oxidative stress, neuroinflammation ...
Amandeep Thakur +6 more
wiley +1 more source
Coexistence, crossover and extirpation in coalescent communities and ecotones
When two ecological communities come into contact, the strength of their mixing determines whether species coexist, extirpate, or extend their ranges. We present analytical formulas and simulations describing these transitions. Specifically, we derive abundance shifts upon community coalescence, identify the critical mixing strength leading to first ...
Martin Heidelman, Dervis Can Vural
wiley +1 more source
Abstract This study investigated cerebral and neuromuscular responses to three exercise models: time trial (TT), maximal oxygen uptake (V̇O2max${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{max}}}}$) and time to exhaustion (TTE). Fourteen participants completed the tests in the following order: V̇O2max${{\dot{V}}_{{{{\mathrm{O}}}_2}{\mathrm{max}}}}$, TT and ...
Caroline V. Robertson +3 more
wiley +1 more source
Current progress toward isogeometric modeling of the heart biophysics. [PDF]
Torre M +3 more
europepmc +1 more source
A study on surface tension gradient flow of viscoelastic tetra hybrid nanofluid over a Riga plate with elastic deformation for improving thermal efficiency in industrial systems. [PDF]
Faqihi AA +5 more
europepmc +1 more source
Analytical evaluations using neural network-based method for wave solutions of combined Kairat-II-X differential equation in fluid mechanics. [PDF]
Zhou P +8 more
europepmc +1 more source
From PINNs to PIKANs: recent advances in physics-informed machine learning. [PDF]
Toscano JD +6 more
europepmc +1 more source
Stresses and fluid flow in lamina cribrosa through anisotropic poroelasticity. [PDF]
Cavuoto R +7 more
europepmc +1 more source
Entropy in Exact 2D Navier-Stokes and 3D Burgers Gas Flows. [PDF]
Broadbridge P.
europepmc +1 more source

