Results 201 to 210 of about 62,374 (308)
Multiharmonic Algorithms for Contrast-Enhanced Ultrasound. [PDF]
Nikolić V, Rauscher T.
europepmc +1 more source
Decoding α‐MoC1−x Nanoparticle Formation in Continuous Flow via Machine Learning
Formation pathway of α‐MoC1−x nanoparticles synthesized from oleylamine‐Mo(CO)6 precursor under mild continuous‐flow conditions was investigated. By combining in‐line spectroscopic monitoring with a machine learning (ML) framework capable of deconvoluting complex, overlapping spectral features, we reveal mechanistic details of early‐transition‐metal ...
Bin Pan +7 more
wiley +1 more source
Generative models of cell dynamics: from Neural ODEs to flow matching. [PDF]
Richter T, Wang W, Palma A, Theis FJ.
europepmc +1 more source
This study develops binder‐free IrO2–Ni‐based electrodes through liquid‐phase synthesis to elucidate how Ni‐based support chemistry governs interfacial electronic interactions and oxygen evolution reaction (OER) performance. The IrO2–Ni2P electrode exhibits superior activity and durability, attributed to strong interfacial charge transfer that ...
Yeongbin Lee +11 more
wiley +1 more source
Silyl Hot-Injection Versus Thiocyanate Heat-Up Synthesis of Chalcohalides: Pushing the Size and Composition Envelope. [PDF]
Stegner EK +6 more
europepmc +1 more source
Using Thermodynamics and Microstructure to Mitigate Overfitting in Pellet Reduction Models
A in time and space discretized, thermodynamically sound model for direct reduction of iron oxide pellets is described. The number of fitting parameters is drastically reduced compared to existing models. Nevertheless, fitting kinetic parameters based on conversion degree data alone leads to overfitting, which can be mitigated by correlating the ...
Ömer K. Büyükuslu +4 more
wiley +1 more source
Deterministic, stochastic, and mean-field PDE models in neuroscience. [PDF]
Çetin C +5 more
europepmc +1 more source
Development and Validation of a Next‐Generation Mechanistic Model of the Electric Arc Furnace
This study presents a next‐generation mechanistic model of the electric arc furnace (EAF). It describes equations for all crucial processes appearing during the steel‐recycling process in an EAF, i.e., thermal, mass, and chemical. The model was parameterized and validated using industrial EAF data.
Vito Logar, Igor Škrjanc
wiley +1 more source
Physics-Constrained Neural ODEs for MXene Bandgap Prediction with Conformal Uncertainty. [PDF]
Kati N, Ucar F.
europepmc +1 more source

