Results 211 to 220 of about 2,220,247 (238)

Laminar Burning Velocity of Ammonia‐Hydrogen Mixtures Predicted by Machine Learning

open access: yesChemie Ingenieur Technik, EarlyView.
Ammonia–hydrogen blends aid defossilization, but slow combustion kinetics require complex modeling. Although chemical kinetic modeling is computationally expensive, machine learning surrogates offer fast predictions. This study trained GPR, DT, and ANN models on 1445 experimental points.
Georg Klepp   +2 more
wiley   +1 more source

Programmable ferroelectric rectifier for reliable and efficient neuromorphic crossbar array. [PDF]

open access: yesNat Commun
Kim Y   +16 more
europepmc   +1 more source

Gate-tunable mid-infrared electroluminescence from Te/MoS<sub>2</sub> p-n heterojunctions. [PDF]

open access: yesLight Sci Appl
Wang S   +11 more
europepmc   +1 more source

On-Chip Ultrafast Electrons in Asymmetric Nanogaps: a Scalable Platform for Time-Resolved Spectroscopy of Individual Nanosystems

open access: yes
Bakulin A   +22 more
europepmc   +1 more source
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