Results 251 to 260 of about 16,686,076 (335)
Sparse nonlinear identification for control-oriented modeling of an organic Rankine cycle system
Andrés Hernández +2 more
openalex +2 more sources
Volatile Memristive Devices With Tunable Temporal Dynamics For Event‐Based Sensing
Tunable volatile memristive devices can serve various neural‐inspired tasks that require different time windows of information retention. The ionic‐based volatility of the presented Pt/a‐STO/TaOx/Ta device stack can be reproducibly and controllably tuned in multiple ways.
Dimitrios Spithouris +7 more
wiley +1 more source
A Review of Physics-Informed and Data-Driven Surrogate Models for Power Transformer Fault Diagnosis. [PDF]
Wan G, Yang K, Xiong F, Chen J.
europepmc +1 more source
Applied here for the first time to a 2D material, high‐resolution synchrotron x‐ray Fourier transform holography directly images topological spin textures in Fe3GeTe2. Combined with atomistic tight‐binding simulations including itinerant electrons and Rashba spin‐orbit coupling, the approach reveals labyrinth, skyrmion, and mixed phases, and uncovers ...
Sourav Chowdhury +16 more
wiley +1 more source
Detection of Frost-Damaged Maize Kernels for Food Quality Screening Using Hyperspectral Imaging and 2D-COS-Assisted Deep Learning. [PDF]
Nan J +7 more
europepmc +1 more source
Heterostructure photodiode devices of p‐type WSe2 with n‐type NiPS3 constructs spectrally protected spin‐polarized photocurrents. The energy of the excitation photon serves as an independent control parameter for spin‐selective photocurrent generation. ABSTRACT Efficient generation and control of spin‐polarized currents in semiconductors remain central
Rajesh Kumar Yadav +8 more
wiley +1 more source
From observable fermentation data to hidden cell states: A modeling study of a mixotrophic Clostridium coculture under perfusion mode. [PDF]
Kim J, Cho H, Mok JH, Seo H, Kwon JS.
europepmc +1 more source
Identification in nonlinear dynamic panel models under partial stationarity
Wayne Yuan Gao, Rui Wang
openalex +1 more source
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source

