Results 151 to 160 of about 296,284 (267)

Efficient preconditioning strategies for accelerating GMRES in block-structured nonlinear systems for image deblurring. [PDF]

PLoS One
Khalid R, Ahmad S, Medani M, Said Y, Ali I.   +4 more
europepmc   +1 more source

Towards High‐Acuity Vision Restoration: Hybrid Retinal Prosthesis Composed of a High‐Density Multielectrode Array Integrated With Glutamatergic Cells

Advanced Functional Materials, EarlyView.
This work introduces a novel Hybrid Retinal Implant (HRI), composed of a high‐density electrode array integrated with glutamatergic neurons to overcome key limitations of current retinal prostheses. The significant reduction of activation threshold and of electrode cross‐talk yields in an improved spatial resolution.
Nairouz Farah, Amos Markus, Gal Shpun, Yoav Chemla, Erel Lasnoy, Tamar Azrad‐Leibovitch, Fikre Fentahon, Zeev Zalvesky, Yossi Mandel   +8 more
wiley   +1 more source

A new hybrid block collocation method for solving elliptic PDEs. [PDF]

Sci Rep
Rufai MA, Filippone S, Ramos H, Modanese G.   +3 more
europepmc   +1 more source

SMaRT Stacking: A Methodology to Produce Optimally Layered EMI Shields with Maximal Green Index Using Fused Deposition Modeling

Advanced Functional Materials, EarlyView.
Electromagnetic interference (EMI) shields consisting of polylactic acid (PLA) in layers with different concentrations of multiwalled carbon nanotubes (MWCNT) are produced using additive manufacturing. The permittivity function of layers with different filler concentrations is learned using data of homogeneous and randomly ordered shields.
Stijn De Smedt, Brecht Evens, Pramod Ravichandran, Panagiotis Patrinos, Frederik Van Loock, Ruth Cardinaels   +5 more
wiley   +1 more source

Dynamic Control of Synaptic Plasticity by Competing Ferroelectric and Trap‐Assisted Switching in IGZO Transistors with Al2O3/HfO2 Dielectrics

Advanced Functional Materials, EarlyView.
A frequency‐tunable ferroelectric synaptic transistor based on a buried‐gate InGaZnO channel and Al2O3/HfO2 dielectric stack exhibits linear and reversible weight updates using single‐polarity pulses. By switching between ferroelectric and trap‐assisted modes depending on input frequency, the device simplifies neuromorphic circuit design and achieves ...
Ojun Kwon, Dong Ho Lee, Seyoung Oh, Jongwon Yoon, Hyo‐Bae Kim, Ji‐Hoon Ahn, Woojin Park, Han Seul Kim, Byungjin Cho   +8 more
wiley   +1 more source

Finite Element Analysis of 3D-Printed Gears: Evaluating Mechanical Behaviour Through Numerical Modelling. [PDF]

Materials (Basel)
Ilincă CN, Ramadan IN, Neacșa A, Petrescu MG, Laudacescu EV.   +4 more
europepmc   +1 more source

Defects Dynamic in Photo‐Excited CeO2 and their Influence on CO2 Photoreduction

Advanced Functional Materials, EarlyView.
X‐ray photoelectron spectroscopy study under light excitation is presented to track the defect dynamic (Ce4+ to Ce3+) in CeO2. Surface enhanced Raman spectroscopy confirmed the key role of Ce3+ states in controlling charge and energy transfer across the CeO2‐dye molecule interface.
Rambabu Yalavarthi, Shashi B. Mishra, Olivier Henrotte, Emiliano Cortes   +3 more
wiley   +1 more source

Investigating Experimental Short Term Imprint Dynamics in Ferroelectric Hafnium Oxide Through Phase‐Field Modeling

Advanced Functional Materials, EarlyView.
Phase‐field modeling reveals the mechanisms behind short‐term ferroelectric imprint in Hf0.5Zr0.5O2 polycrystalline thin films. Combined with a charge trapping model, the proposed framework accurately reproduces coercive field shifts with pause time and their recovery through field cycling in polarization‐voltage measurements, offering valuable ...
Kévin Alhada‐Lahbabi, Benoit Manchon, Grégoire Magagnin, Chiara Lepri, Sara Gonzalez, Ingrid Cañero Infante, Martine Le Berre, Bertrand Vilquin, Jordan Bouaziz, Brice Gautier, Damien Deleruyelle   +10 more
wiley   +1 more source

Multiview linear-array photoacoustic computed tomography with improved elevational resolution in 3D. [PDF]

Biomed Opt Express
Miao J, Zhang S, Sun G, Li L.
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source