A novel univariate legendre polynomial method for probabilistic failure load prediction in composite open-hole laminate. [PDF]
Li M, Yuan B, Li F, Fang Y, Zhu X.
europepmc +1 more source
Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang +14 more
wiley +1 more source
Twisted optical fibres as photonic topological insulators. [PDF]
Roberts N +4 more
europepmc +1 more source
Vorinostat Potentiates Chemoimmunotherapy in Immune‐Enriched Pancreatic Cancer
Immune‐enriched pancreatic cancer does not confer a significant survival advantage. SAHA sensitizes these “hot” tumors to chemoimmunotherapy by disrupting a FASN/PARP9‐driven “metabolic trap” and enhancing CD8+ T cell function. A CD8high/FASNhigh/PARP9high signature identifies patients who are most likely to benefit from the “gemcitabine‐nivolumab‐SAHA”
Chen Chen +13 more
wiley +1 more source
Time-varying reliability analysis of the main arch ring in reinforced concrete arch bridges considering non-stationary degradation. [PDF]
Guo Y +6 more
europepmc +1 more source
Inherently Disordered Auxetic Metamaterials
Inherently disordered auxetic metamaterials based on random chiral Delaunay triangulations are designed and investigated using numerical simulations and experimental tests. These disordered frameworks exhibit orthotropic behavior and a large negative Poisson's ratio (ca.
Matteo Montanari +3 more
wiley +1 more source
The MT-FEM Model for Predicting Young's Modulus of Graphene Composites with Complex Morphologies. [PDF]
Zhai X +4 more
europepmc +1 more source
Diffusion–Model–Driven Discovery of Ferroelectrics for Photocurrent Applications
We developed a diffusion model–based generative AI and high‐throughput screening framework that accelerates the discovery of photovoltaic ferroelectrics. By coupling AI driven crystal generation with machine learning and DFT screening, we identified Ca3P2 and LiCdP as new ferroelectric materials exhibiting strong polarization, feasible switching ...
Byung Chul Yeo +3 more
wiley +1 more source
Numerical and Experimental Approaches for Mechanical Durability Assessment of an EV Battery Pack Case. [PDF]
Kim HS, Cho M, Lee C, Kim J, Kang S.
europepmc +1 more source

