Results 121 to 130 of about 6,454,315 (251)

Configuration‐Encoded Cell Alignment by Light‐Gated Silicon Photovoltaic Microcell Arrays

open access: yesAdvanced Functional Materials, EarlyView.
Light‐gated silicon photovoltaic microcells convert pulsed illumination into localized electrical cues. Arranging otherwise similar microcells into four‐lobed, six‐lobed, or circular patterns directs fibroblasts into corresponding local arrangements without wired stimulation.
Yifan Tao   +7 more
wiley   +1 more source

Programming Neuromorphic Plasticity Through Ionic and Electronic Coupling in Organic Electrochemical Transistors

open access: yesAdvanced Functional Materials, EarlyView.
Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee   +9 more
wiley   +1 more source

Computation of waveguide eigenmodes by physics-informed neural networks

open access: yesMachine Learning. Engineering
Physics-informed neural networks (PINNs) have emerged as powerful deep-learning frameworks for solving partial differential equations by directly embedding physical laws into the learning process.
Geetanjli, Kirankumar R Hiremath
doaj   +1 more source

Single‐Cell Resolution Mapping of Osteoarthritis‐Associated Chondrocyte Dynamics Using a High‐Density CMOS MEA Platform

open access: yesAdvanced Healthcare Materials, EarlyView.
Single‐cell and spatially resolved impedance mapping using a high‐density CMOS‐MEA platform enables non‐invasive monitoring of osteoarthritis‐associated chondrocyte dynamics. Continuous label‐free measurements reveal heterogeneous remodeling behaviors, including proliferation, migration, and phenotypic transitions, establishing a powerful approach for ...
Neha Deshpande   +9 more
wiley   +1 more source

Solving forced KdV equation using physics-informed neural networks

open access: yesGeoscience Letters
Physics-informed neural networks (PINNs) are applied to solve forced-KdV (fKdV) equations and to assess their capability for nonlinear wave dynamics under external forcing. We first validate the solver in analytically tractable forced-KdV benchmarks with
Lei Han   +4 more
doaj   +1 more source

Advancing Human Skin Equivalents: The Crucial Role of Neurovascular Integration

open access: yesAdvanced Healthcare Materials, EarlyView.
This review discusses the importance of integrating vascular and peripheral nerve systems into human skin equivalents (HSEs) to better recapitulate native skin physiology. Recent advances in vascularized, innervated, and neurovascularized HSEs are highlighted, together with emerging bioengineering strategies, current challenges, and future ...
Hao Wu   +4 more
wiley   +1 more source

GDNF‐Enriched Small Extracellular Vesicle‐Loaded ROS‐Scavenging Hydrogel Promotes Neural Regeneration After Spinal Cord Injury

open access: yesAdvanced Healthcare Materials, EarlyView.
A glial cell line‐derived neurotrophic factor (GDNF)‐enriched small extracellular vesicle‐loaded reactive oxygen species (ROS)‐scavenging hydrogel integrates sustained neurotrophic delivery with local modulation of oxidative and inflammatory stress after spinal cord injury. The composite hydrogel improves local vesicle retention, protects neural tissue,
Xingyu Zhu   +13 more
wiley   +1 more source

Extremization to fine tune physics informed neural networks for solving boundary value problems

open access: yes
Extremization to fine tune physics informed neural networks for solving boundary value ...
Abhiram Anand Thiruthummal (18972544)   +2 more
core  

Microfluidic Engineering of Microgels: A Review of Emerging Technologies, Materials, Fabrication Strategies, and Applications

open access: yesAdvanced Healthcare Materials, EarlyView.
Recent advances in microfluidic technologies for microgel fabrication are critically reviewed, highlighting the capabilities and limitations of major microfluidic platforms and discussing how platform design, material selection, and crosslinking strategies influence microgel architecture and functionality. Current challenges and future opportunities in
Afshin Abrishamkar   +6 more
wiley   +1 more source

Training of physics-informed neural networks: a multi-criterion viewpoint

open access: yes
International audiencePartial differential equations (PDEs) are usually solved by numerical methods requiring specific grids and discretisation schemes.
Duvigneau, Régis   +2 more
core  

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