Physics informed neural network surrogate modeling and global sensitivity analysis of magnetized nanofluid flow over a porous cylinder for solar thermal energy applications. [PDF]
Hussain M, Alhushaybari A.
europepmc +1 more source
Ultraviolet (UV) imagers are important for a variety of applications but often require dedicated semiconductor process flows. Here, a versatile capacitive CMOS platform is transformed into a visible‐blind, multispectral UV imager through post‐CMOS functionalization with solution‐processed metal‐oxide nanoparticles. The UV‐induced photodielectric effect
Suman Kundu +5 more
wiley +1 more source
A hybrid metaheuristic framework for robust photovoltaic model parameter estimation based on crested porcupine and differential evolution algorithms. [PDF]
Mohamed AAH +3 more
europepmc +1 more source
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi +7 more
wiley +1 more source
Surrogate-assisted multi-objective topology optimization design method for prefabricated large-span Suspen-Dome based on structural-mapping-method and improved-PGSA. [PDF]
Dai Y +5 more
europepmc +1 more source
Programmable Paracrine‐Mimetic Microneedle System for Temporal Regulation of Cardiac Repair
Temporal signaling is encoded into a programmable paracrine‐mimetic microneedle patch via tris(2,2'‐bipyridyl)dichlororuthenium(II) hexahydrate/sodium persulfate‐tuned hydrogel microparticles that deliver TGF‐β, IGF‐1, and VEGF over phase‐matched 7‐, 14‐, and 28‐day windows.
Yichen Dai +18 more
wiley +1 more source
Advanced Mathematical Methods in Dental Bioengineering and Biomaterials Machining. [PDF]
Duplák J, Knežo D.
europepmc +1 more source
Neuromorphic Devices and Computing for Sensing, Memory, and Control
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu +2 more
wiley +1 more source
Advancing Tumor Treatment Through Artificial Intelligence and Mathematical Modeling: A Comprehensive Review. [PDF]
Kamran M +3 more
europepmc +1 more source
Computationally Evidence‐Grounded Sequence‐First Design of Peptide Binders
BOND‐PEP enables controllable, sequence‐first peptide binder design by grounding generation in binding evidence retrieved for each target. It uses topology‐conditioned message passing to integrate relevant peptide examples with the target protein sequence, forming a residue‐level representation that guides the generation of diverse, target‐specific ...
Wenze Ding
wiley +1 more source

