Results 101 to 110 of about 6,625,966 (272)
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
PUF/ENB microcapsules were synthesized based on a sequential factorial design and incorporated into an epoxy matrix. Their anticorrosive action, associated with the self‐healing mechanism, demonstrated that the addition of microcapsules to the coating improved anticorrosive performance compared to pure epoxy coatings, particularly when the encapsulate ...
Vandicleya Alves Moreira +6 more
wiley +1 more source
Estimation of effective operating parameters for dye degradation using Bi3TiVO9 via tribocatalysis
Bi3TiVO9 powder was used as a tribocatalyst for the removal of Rhodamine B (RhB) dye via tribocatalysis process. Bi3TiVO9 ceramic powder was synthesized using the solid-state reaction method and characterized using Raman spectroscopy, scanning electron ...
Aditya Singh Thakur +6 more
doaj +1 more source
Orthopaedic scaffold materials were fabricated from polycaprolactone (PCL) and composite PCL‐β‐tricalcium phosphate (PCL/β‐TCP) powders using selective laser sintering (SLS). Incorporating β‐TCP particles is desirable to promote osteogenesis. The effects of increasing β‐TCP content on the material’s mechanical properties and microstructure were ...
Doyle, Heather +2 more
openaire +1 more source
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
Advanced short-fiber composites reinforced with metal, ceramic, or metal-ceramic hybrid matrices are becoming multifunctional materials for lightweight, thermally stable, and sustainable structural applications.
Zakim Hussain +3 more
doaj +1 more source
Electrodeposition in Structural Lattices of Variable Architectures
Electrodeposition enables geometry‐sensitive, autonomous void filling while simultaneously tuning chemical and mechanical properties. The development of approaches that can autonomously fill and heal material voids and yield composites with tailorable properties is increasingly relevant in engineering.
Yeong‐Man Kwon +3 more
wiley +1 more source
Advances in Sustainable and Wearable Textile Based Soft Robotics
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
Combinatorial ink-jet printing for ceramic discovery [PDF]
PhDAn aspirating and dispensing printer established inside a robot gantry equipped with furnace and measurement table is used to prepare thick-film combinatorial libraries.
Wang, Jian
core +1 more source
Advanced ceramic materials for electrolytes and electrodes in reversible solid oxide cells
Manmade climate change caused by the burning of fossil fuels has created the need for an energy transition to renewable energy sources. Reversible solid oxide cell (rSOC) technologies can play an important role in this transition, as they ...
Panagiotis Kopras +2 more
doaj +1 more source

