We apply a foundational machine‐learning interatomic potential based on the graph atomic cluster expansion (GRACE) to simulate the commercial Ni‐based single‐crystal superalloy CMSX‐4. Hybrid Monte‐Carlo/molecular dynamics sampling resolves short‐range order in the γ phase and L12 sublattice occupancies in the γ’ phase and connects them to stacking ...
Aditya Vishwakarma +4 more
wiley +1 more source
A multisource dataset for anomaly detection and fault prediction in urban water distribution networks. [PDF]
Babela J, Munk M, Munkova D.
europepmc +1 more source
Catalytically Enhanced Near Room‐Temperature Hydrogen Sensing Using Pd‐ZnO Colloidal Crystals
Pd‐decorated ZnO colloidal crystal monolayers demonstrate excellent performance across a wide hydrogen concentration range at 33°C, with high selectivity and reproducible device fabrication. The sensors show strong responses even at low‐ppm H2 concentrations and an ultra‐low detection limit of 82 ppb, indicating their suitability for diverse hydrogen ...
Hamidah Alluhaybi +13 more
wiley +1 more source
BRICK-Automated Virtual Temperature Sensors for Sensor Fault Detection, Isolation, and Discrimination in Smart-Building HVAC Systems. [PDF]
Chahine K, Noura HN.
europepmc +1 more source
Multi-sensor observer-based residual learning with Auto-Permutation Feature Importance for fault diagnosis of multistage centrifugal pumps under variable pressures. [PDF]
Ullah S, Siddique MF, Kim JM.
europepmc +1 more source
Vibration-based bearing fault diagnosis in noisy conditions using matrix pencil mean frequency and multilayer perceptron neural networks. [PDF]
Laib A +6 more
europepmc +1 more source
Multi-Scale CNN-LSTM for Short-Circuit Fault Diagnosis of Shipboard Power System. [PDF]
Chen X, You K, Dai X.
europepmc +1 more source
FG-DeformT: Grouped Deformable Temporal Modeling for Flight-Level Aircraft Anomaly Detection. [PDF]
He Y, Lu Z, Deng Y, Wang D.
europepmc +1 more source
Machine Learning-Based Prediction of Stacking Fault Energy in High-Manganese Steels: A Comparative Study of Ensemble and Kernel Methods. [PDF]
Tiwari S, Heo SJ, Park N.
europepmc +1 more source

