Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Statistical approach to analyze wear parameters and worn surface morphology of aluminum - silicon carbide (13%) - graphite composites with and without cryogenic treatment. [PDF]
Arun Kumar KN +3 more
europepmc +1 more source
Measuring the Hall Effect in Hysteretic Materials
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya +6 more
wiley +1 more source
Effect of Austempering on the Microstructure, Mechanical Properties and Tribological Performance of EN-GJS-800-8 Ductile Iron Castings. [PDF]
Jaroszek J +3 more
europepmc +1 more source
Injection moulding machine parts in Mo2FeB2 complex boride-base hard alloys
openaire +1 more source
“Smelltronics”—From Gas to Smell Sensing
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono +7 more
wiley +1 more source
Comparative Evaluation of Two Modified Glass Ionomer Cements with Conventional Glass Ionomer Cement for Fracture Toughness using 3-point Bending Test. [PDF]
Patel T +4 more
europepmc +1 more source
Emergent Spin Supersolids in Frustrated Quantum Materials
This review highlights developments in the study of spin super‐solids in frustrated quantum materials. Advanced experimental characterizations and computational studies enable a comprehensive understanding of the driving mechanisms of spin super‐solidity in various layered transition‐metal compounds, bridging materials, experiments, and theory aspects.
Yixuan Huang +2 more
wiley +1 more source
A KPI-Based Model for Improving Aluminium Alloy Casting Processes: Effects on Material Properties of Castings. [PDF]
Pacana A, Czerwińska K.
europepmc +1 more source
Rapid hard tooling by plasma spraying for injection moulding and sheet metal forming
openaire +1 more source

