Robust trajectory tracking control of an underwater robotic manipulator using an IPSO-PID framework under hydrodynamic and ocean-current disturbances. [PDF]
Yao J, Yang J, Li C.
europepmc +1 more source
Lumped modeling of bubbling fluidized beds for high‐temperature processes
Abstract Bubbling fluidized beds (BFBs) have been a source of study for multiple decades. Among other applications, they can be used as scalable reactors for the conversion of biomass and waste resources to fuels. Several experimental and computational studies have been devoted to correlating the interplay of hydrodynamics and heat and mass transfer in
Ravi Ramesh +3 more
wiley +1 more source
Probing radiation forces acting on acoustic bubbles using digital in-line holography. [PDF]
Mauger C +6 more
europepmc +1 more source
Experimental and numerical study of liquid–liquid systems using the Euler–Lagrange/VOF approach
Abstract Achieving stable liquid–liquid dispersions with controlled droplet size remains a challenge due to the complex interplay of dispersed phase viscosity, hydrodynamic conditions and interfacial interactions. This work presents a validated computational framework for droplet breakage and coalescence in liquid–liquid dispersions with variable ...
Pavel Krýsa +3 more
wiley +1 more source
Investigation of wind load behavior on hip roof structures subjected to Tornado-induced flow. [PDF]
Hao X, Jia Y, Wang X, Cao W, Zhang Z.
europepmc +1 more source
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Numerical design of magnetic-field-gradient-guided branch targeting of Au/Ni-SiO<sub>2</sub> Janus microrobots in a bifurcating microchannel. [PDF]
Yang J, Li M, Yang Y, Chen XB.
europepmc +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Acute and Chronic Effects of Parachute-Resisted Sprint Training on Sprint Performance and Sprint Mechanics: A Systematic Review with GRADE Assessment. [PDF]
Bruno J, Thapa RK, Sarmento H.
europepmc +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source

