Results 141 to 150 of about 18,341 (302)

Thermally Pre‐Formed Reconfigurable Resistive Random‐Access Memory Crossbar Arrays: A Dual‐Mode Platform for Robust Physically Unclonable Functions and In‐Memory Computing

open access: yesAdvanced Functional Materials, EarlyView.
A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon   +4 more
wiley   +1 more source

Microgel‐Based 3D Bioprinting: A Convergent Strategy Integrating Material Design, Jamming Dynamics, and Biological Function

open access: yesAdvanced Healthcare Materials, EarlyView.
Microgel‐based 3D printed constructs represent a compelling and versatile innovation for engineering architecturally complex, dynamically remodelable, and biocompatible structures with high structural fidelity and bioactivity. By integrating material design, biofabrication, and biological function, these systems enable the development of adaptive ...
Elena Ghighină   +2 more
wiley   +1 more source

Surface Flux Transport Modeling Using Physics-informed Neural Networks

open access: yesThe Astrophysical Journal
Studying the magnetic field properties on the solar surface is crucial for understanding the solar and heliospheric activities, which in turn shape space weather in the solar system.
Jithu J Athalathil   +4 more
doaj   +1 more source

Atomic Layer Deposition Processes: Versatile Platforms for Engineering ZnO‐Chitosan Biointerfaces

open access: yesAdvanced Healthcare Materials, EarlyView.
Vapour phase metalation (VPM), multiplied pulsed vapour phase infiltration (MPI), and O2 plasma‑enhanced atomic layer deposition (PEALD) tailor Zn–chitosan (Zn‑CS) films. PEALD improves wettability and biocompatibility. MPI enhances semiconductor behavior. Antiseptic selectivity: VPM → E. coli; MPI → H. pylori.
Mabel Moreno   +17 more
wiley   +1 more source

Application of Physics informed Neural Networks

open access: yes
U ovom radu su istražene fizikom informirane neuronske mreže (engl. Physics-informed Neural Networks, PINN). Objašnjene su tehnike strojnog učenja i neuronskih mreža, kao i metode fizikalnog modeliranja i rješavanja diferencijalnih jednadžbi.
Maretić, Mislav
core  

Applied Physics-Informed Neural Networks for Spacecraft Magnetic Testing

open access: yesAerospace
Artificial intelligence and machine learning techniques can be used for performing magnetic testing on spacecraft that has historically been difficult and risky to perform.
Andrew Mentges, Bharat Rawal
doaj   +1 more source

Immunoinflammatory Mechanisms and Biocompatibility of Bioactive Dental Biomaterials: From Fundamental Insights to Clinical Translation

open access: yesAdvanced Healthcare Materials, EarlyView.
Surface‐host dialogue at the implant interface governs biological fate and osseointegration. Surface physicochemical properties of titanium (Ti) dental implants, including microgrooves, nanopatterns, nanotopography, roughness, and wettability, modulate the initial adsorption of proteins and the formation of a dynamic biointerface.
Daniela Moreira Cunha   +9 more
wiley   +1 more source

Natural Biomaterials for Osteochondral Repair: From Source to Strategy

open access: yesAdvanced Healthcare Materials, EarlyView.
Biological origin‐guided overview of natural biomaterials and therapeutic strategies for osteochondral tissue engineering. The circular diagram categorizes representative materials and strategies into plant/algae‐derived, microbial‐derived, animal‐derived, and human‐derived sources, centered on an osteochondral defect repair model.
Hengyu Liu   +5 more
wiley   +1 more source

Physics-Informed Neural Networks for Structural Health Monitoring of Cross-Ply Laminates

open access: yes
embargoed_20270703La tesi propone l'utilizzo di reti neurali physics-informed per predire in funzione della variazione della resistenza elettrica, l'elasticità di un componente realizzato in materiale laminato polimerico-fibroso cross-ply.
AMBROSI, FILIPPO
core  

Forecasting seasonal influenza epidemics with physics-informed neural networks

open access: yesEpidemics
Accurate epidemic forecasting is critical for informing public health decisions and timely interventions. While physics-informed neural networks have shown promise in various scientific domains, their potential application to real-time epidemic ...
Martina Rama   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy