Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
The Clinical Significance of Imaging Biomarkers Discoverable by Anomaly Detection Methods in Retinal Diseases: A Review. [PDF]
Wittmann AM +5 more
europepmc +1 more source
Methods for automatic anomaly detection in tomographic images of food and wood products
reservedAnomaly detection refers to the problem of finding patterns in data that deviate from the expected behaviour. This technique is applied in the food industry to find foreign bodies in the products and discard them from the production line.
TRINCANATO, MARCO
core
Two‐Dimensional Triferroics: From Fundamental Couplings to Multifunctional Applications
This graphic summarizes the three main types of currently reported 2D triferroic couplings. From the structural perspective, existing systems can be broadly classified into two categories, which exhibit distinct symmetry features and coupling behaviors. Beyond the lattice difference, a third type involves the interplay among ferroelectricity, magnetism,
Yang Li, Jialin Gong, Zhiqing Li
wiley +1 more source
Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods. [PDF]
Arweiler J +7 more
europepmc +1 more source
Engineering of Crystal and Domain Structures in Epitaxial Y:HfO2 Thin Films by YSZ Substrate Miscut
We investigate how YSZ substrate miscut influences crystal structure and domain formation in epitaxial Y‐doped HfO2 thin films. Using magnetron sputtering, high‐resolution X‐ray diffraction, atomic‐resolution scanning transmission electron microscopy, and first‐principles calculations, we systematically examine the characteristics of thickness‐ and ...
Jun Young Lee +12 more
wiley +1 more source
Unsupervised cross domain adaptive anomaly detection network for Internet of Things traffic. [PDF]
Yuan T, Zhai D, Li A.
europepmc +1 more source
Diverse Landscape of Tunable Magnetic, Topological, and Ferroelectric States in 2D Ti3Se3Te2
Ti3Se3Te2 emerges as a multifunctional 2D van der Waals platform. The monolayer is a dynamically stable ferromagnetic quantum anomalous Hall insulator. In bilayers, two stacking configurations yield distinct phases: AA‐stacking hosts an altermagnetic quantum spin Hall insulator, while AA′‐stacking exhibits three‐state in‐plane ferroelectricity ...
Jiangtao Yu +5 more
wiley +1 more source
Temporal-Enhanced and Visual-Text Adaptive Fusion for Weakly Supervised Video Anomaly Detection in Public Safety. [PDF]
Si J, Dong Q, Yang X.
europepmc +1 more source

