Full Vectorial Field Sensing Using Liquid Crystal Droplet Arrays
An inkjet‐printed liquid crystal droplet array enables compact, low‐cost, single‐shot sensing of the full vectorial light field. Within a single platform, it simultaneously retrieves intensity, polarization, and phase, while dual‐wavelength operation highlights its capability for multi‐wavelength optical field characterization. ABSTRACT Determining the
Xuke Qiu +10 more
wiley +1 more source
A Nonlinear Error Compensation Method for Heterodyne Interferometry Based on Self-Supervised Physics-Informed Neural Networks with Frequency-Domain Priors. [PDF]
Wang Y +6 more
europepmc +1 more source
Collocation-based Robust Variational Physics-Informed Neural Networks (CRVPINN)
Physics-Informed Neural Networks (PINNs) have been successfully applied to solve Partial Differential Equations (PDEs). Their loss function is founded on a strong residual minimization scheme.
Łoś, Marcin +5 more
core
Soft Hardware, Flowing Software: Reconfigurable Microfluidics for Adaptable Chemical Computation
A reconfigurable microfluidic platform based on soft, photo‐printable, and chemically erasable hydrogel structures printed and erased in situ is used to control flow routing, mixing, chemical patterning, and even chemical computing. Using hardware to control chemical computations decouples logic function from molecular composition, demonstrated via ...
Piet J. M. Swinkels +4 more
wiley +1 more source
Low-Temperature Prediction in Commercial Lithium-Ion Batteries during Dynamic Usage via Enhanced Physics-Informed Neural Networks. [PDF]
Pereira EL, Soares DM.
europepmc +1 more source
Invariant Physics-Informed Neural Networks for Ordinary Differential Equations
Physics-informed neural networks have emerged as a prominent new method for solving differential equations. While conceptually straightforward, they often suffer training difficulties that lead to relatively large discretization errors or the failure to ...
Valiquette, Francis +2 more
core
Cell Adhesion by Design: Engineering Tissue Culture Scaffolds With Adhesion Cues
ABSTRACT In scaffold‐based tissue engineering, the matrix should provide adequate adhesion cues for cell attachment, spreading, and function. Given the multitude of adhesion receptors and the diversity of scaffolds, there are many approaches to render scaffolds adhesive, even though they are not all equivalent.
Dalia Dranseike +3 more
wiley +1 more source
Gradient-Driven Physics Informed Neural Networks for Conduction Heat Transfer and Incompressible Laminar Flow. [PDF]
Lu T +5 more
europepmc +1 more source
Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment
Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
wiley +1 more source
Parameter calibration method for car-following models under snowy weather conditions: Integrating an informer time series encoder and physics-informed neural networks. [PDF]
Sun Y, Li W, Yang M, Zhang X.
europepmc +1 more source

