Mesoporous PU/PEDOT:PSS Electrodes Reveal Population-Level Stochastic Bioelectrical Dynamics in Marine Diatoms. [PDF]
Silva DMS +7 more
europepmc +1 more source
Advanced Manufacturing of Composite‐Based Systems for Energy Applications
Advanced manufacturing enables the integration of polymers, ceramics, metal oxides, and composites into architected microstructures with tailored transport pathways. By coupling material selection, manufacturing strategy, and structural design, multifunctional energy systems can simultaneously improve electrochemical performance, thermal management ...
Sri Vaishnavi Thummalapalli +13 more
wiley +1 more source
Taming dimensionality in big neuroimaging data: Efficient orthonormal projective NMF via stochastic learning and data compression. [PDF]
Bani A +7 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
Simulation and inference methods for non-Markovian stochastic reaction networks. [PDF]
Steele TP, Warne DJ.
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
Rumor and counter-rumor dynamics in a stochastic delay-fractional framework: a GL-NSFD approach. [PDF]
Raza A +5 more
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
A Generalization of the Ternary Binding Model to Membrane-Confined Systems With Finite Copy Number. [PDF]
Bellout H, Li A, Bottino D, Piatkov K.
europepmc +1 more source
On‐Chip Photonic Neural Network Architectures
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
wiley +1 more source

