Results 231 to 240 of about 7,004,346 (287)

Comparative study of quadratic regression, Lasso, random forest, and multilayer perceptron for modeling optimal solid density in offset printing. [PDF]

PLoS One
Qiu B, Li L, Liu X, Sheng X, Jiang Y, Liu X, Ling YL.   +6 more
europepmc   +1 more source

EHD‐LIFT: Electrohydrodynamic Laser Induced Forward Transfer

Advanced Science, EarlyView.
Electrohydrodynamic laser‐induced forward transfer (EHD‐LIFT) introduces electric field‐assisted control to LIFT. Through laser‐patterning a conductive absorber layer, local curvatures are induced in the donor film, enabling flow‐focusing for transfer of smaller droplets at lower laser energies.
Ankit Das, Jordi Torres‐Durall, J. Marcos Fernández‐Pradas, Chien‐Fang Ding, Martí Duocastella, Craig B. Arnold   +5 more
wiley   +1 more source

Deciphering the Active Phase Evolution of Co-W-Based Catalysts during Carbon Nanotube Growth by First-Principles Thermodynamics. [PDF]

ACS Nano
Sun R, Cheng T, Ding F, Qiu L.
europepmc   +1 more source

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

Advanced Electronic Materials, EarlyView.
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe, Ivan Iudice, Giuseppe Castaldi, Marco Di Renzo, Vincenzo Galdi   +4 more
wiley   +1 more source

On Maximum Entropy Density Estimation with Relaxed Moment Constraints. [PDF]

Entropy (Basel)
Nghiem TL, Maréchal P.
europepmc   +1 more source

A Dual‐Branch Flux‐Based Extended Memristor Model With Machine‐Learning‐Assisted Calibration

Advanced Electronic Materials, EarlyView.
Multilayer oxide memristors integrated in crossbar arrays are described through a dual‐branch, flux‐controlled compact model. A three‐stage calibration workflow combining Latin hypercube sampling, Bayesian optimization, and gradient‐based refinement extracts device parameters from experimental data.
Davide Rossetti, K. Nikiruy, A.S. Demirkol, Alon Ascoli, M. Ziegler, R. Tetzlaff, Fernando Corinto   +6 more
wiley   +1 more source

Deep Reinforcement Learning-Based Energy-Efficient Resource Allocation and Scheduling in 6G-Enabled UAV-Assisted IoT Wireless Networks. [PDF]

Sensors (Basel)
Nauman A, Kim SW.
europepmc   +1 more source

Investigation on the Impact of Memristive Device Variability on Uncoupled Memristive Cellular Nonlinear Networks

Advanced Electronic Materials, EarlyView.
Memristors, nanoscale devices that compute and store data in the same place, promise compact, energy‐efficient image‐processing hardware, yet no two devices behave exactly alike. Simulations based on real device measurements show that a 256‐cell memristive cellular nonlinear network (M‐CellNN) detects image edges perfectly despite this variability and ...
Salwa Yasmeen Neyaz, Kristoffer Schnieders, Yongmin Wang, Alon Ascoli, Ioannis Messaris, Ronald Tetzlaff, Vasileios Ntinas, Ricardo Carmona Galán, Stefan Wiefels, Vikas Rana, Stephan Menzel   +10 more
wiley   +1 more source

A well-defined local continuum damage model with softening via convexification and entropic regularization

Lauff C, Schlichting A, Böhlke T, Schneider M.   +3 more
europepmc   +1 more source