Results 141 to 150 of about 4,079 (268)
Spheroid‐On‐A‐Drop: A Modular Droplet Microfluidics Platform
The proposed Spheroid‐on‐a‐Drop platform represents a reproducible and tunable platform for the fabrication of biocompatible GelMA‐based microgels, able to support controlled 3D tumor spheroid culture. Its precise control over droplet dynamics and cell distribution paves the way for advanced applications in tissue modeling, drug screening, and ...
A. Fergola +8 more
wiley +1 more source
Dynamical networking of polymer networks with dedicated cross-linker particles. [PDF]
du Toit N +2 more
europepmc +1 more source
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn +2 more
wiley +1 more source
Numerical Integration of Stochastic Differential Equations: The Heun Algorithm Revisited and the Itô-Stratonovich Calculus. [PDF]
Mannella R.
europepmc +1 more source
A dyed nylon fiber is implemented inside the scattering phantom and skin tissue. The deep‐tissue light generation via whispering gallery mode lasing is demonstrated, achieving a depth of >50 times transport mean free path in scattering phantom and 3 mm beneath skin.
Dongqin Ni +4 more
wiley +1 more source
Adaptive Path Integral Diffusion: AdaPID. [PDF]
Chertkov M, Behjoo H.
europepmc +1 more source
Disturb‐Resilient and Wake‐up‐Free 2T‐MFMFET Array for Storage and Computing Applications
A disturb‐resilient and wake‐up‐free 2T‐MFMFET array fabricated using a FeRAM‐compatible process demonstrates excellent uniformity, a large memory window, and 3‐bit multi‐level‐cell storage capability. A newly proposed hybrid in‐memory computing scheme further enables accurate multiply–accumulate operations with minimal refresh overhead, highlighting ...
Chen‐Yi Cho +6 more
wiley +1 more source
Diffusion Properties of Small-Scale Fractional Transport Models. [PDF]
Cifani P, Flandoli F.
europepmc +1 more source
Low‐Pressure Plasma‐Based Wrinkling of PDMS and Machine Learning‐Driven Property Engineering
Wrinkled surfaces are well‐suited for controlled surface deformations in the µm range. The key challenge is the relation between the resulting wrinkle features and the necessary process conditions. Machine learning techniques have solved the prediction and inverse design problems for various preparation conditions, opening a precisely controlled ...
Fabian Kopsch +7 more
wiley +1 more source

