Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Tunable Bandpass Filtering in Coupled Nanodrums Enabled by 1:1 Internal Resonance. [PDF]
Micromachines (Basel)Liu Y +5 more
europepmc +1 more source
FreqPose: Frequency-Aware Diffusion with Fractional Gabor Filters and Global Pose–Semantic Alignment [PDF]
Meng Wang +4 more
openalex +1 more source
Advanced Engineering Materials, EarlyView.Powder metal processing provides scalable advantages in nanoporous (np) metal development. Mechanical alloying is used to produce unique precursors for hybrid nanopore formation by oxide reduction and dealloying. As demonstrated in np Ag, this approach improves process efficiency while promoting smaller ligaments and larger pores, both of which are ...
Mark A. Atwater, Oliver A. Fowler
wiley +1 more source
A wideband tunable, nonreciprocal bandpass filter using magnetostatic surface waves with zero static power consumption. [PDF]
Nat CommunDu X +9 more
europepmc +1 more source
Planar Solid‐State Nanopores Toward Scalable Nanofluidic Integration Based on CMOS Technology
Advanced Engineering Materials, EarlyView.We present a scalable silicon‐based fabrication strategy for planar solid‐state nanopores to enable their integration with complex nanofluidic systems. Prototype devices demonstrate normal voltage‐current characteristics, good noise performance, and appreciable streaming currents. Our CMOS‐compatible fabrication process offers precise geometric control
Ngan Hoang Pham +7 more
wiley +1 more source
Adaptive Filtering Method for Dynamic BOTDA Sensing Based on a Closed-Circuit Configuration. [PDF]
Sensors (Basel)Rossi L, Bolognini G.
europepmc +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Robust functional ultrasound imaging in the awake and behaving brain: A systematic framework for motion artifact removal. [PDF]
Imaging Neurosci (Camb)Le Meur-Diebolt S +8 more
europepmc +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source