Results 81 to 90 of about 24,114 (290)
Machine Learning Emulation of Spatial Deposition from a Multi-Physics Ensemble of Weather and Atmospheric Transport Models [PDF]
, 2021 Nipun Gunawardena +3 more
openalex +1 more source
Advanced Functional Materials, EarlyView.The characteristics of a vertical floating gate heterostructure transistor device that exhibits neuromorphic potentiation under visible light illumination are investigated. Due to spectrally‐tuned absorbance properties of each thin film layer and introduction of tunneling dielectric, the device enables wavelength‐selective tuning of synaptic plasticity
Seungme Kang +12 more
wiley +1 more source
Environmental Research Letters, 2013 A Gaussian process emulator is applied to quantify the contributions of local and remote emissions of black carbon to its concentrations in different regions using a Latin hypercube sampling strategy for emission perturbations in the offline version of ...
Po-Lun Ma +3 more
doaj +1 more source
Digital Emulation of a Versatile Memristor With Speech Encryption Application
IEEE Access, 2019 Memristor characteristics such as nonlinear dynamics, state retention and accumulation are useful for many applications. FPGA implementation of memristor-based systems and algorithms provides fast development and verification platform.
Mohammed F. Tolba +6 more
doaj +1 more source
A Methodology for High-Power Drives Emulation Using a Back-to-Back Configuration [PDF]
, 2022 Fernando Briz +6 more
openalex +1 more source
Advanced Functional Materials, EarlyView.Organic electrochemical transistors based on a Near‐Infrared (NIR)‐responsive polymer p(C4DPP‐T) and iodide electrolyte exhibit optically programmable negative differential transconductance. NIR illumination triggers an iodine‐mediated redox process, enabling a transition from binary to ternary conductance states within a single‐layer device.
Debdatta Panigrahi +7 more
wiley +1 more source
Target trial emulations: bridging the gap between clinical trial and real‐world data [PDF]
, 2021 Muhammad Usman +2 more
openalex +1 more source
Designing Asymmetric Memristive Behavior in Proton Mixed Conductors for Neuromorphic Applications
Advanced Functional Materials, EarlyView.Protonic devices that couple ionic and electronic transport are demonstrated as bioinspired neuromorphic elements. The devices exhibit rubber‐like asymmetric memristive behavior with slow voltage‐driven conductance increase and rapid relaxation, enabling simplified read–write operation.
Nada H. A. Besisa +6 more
wiley +1 more source
Efficient emulation of relativistic heavy ion collisions with transfer learning
, 2022 D. Liyanage +6 more
openalex +1 more source