Results 201 to 210 of about 2,729 (296)

Effect of Occlusal Adjustment and Subsequent Repolishing on the Translucency Parameter, Contact Angle, and Flexural Strength of Different Types of Glazed Monolithic Zirconia. [PDF]

J Esthet Restor Dent
Monteiro KN, Nigro RP, Favero SS, de Paula Miranda RB, Bonfante EA, Cesar PF.   +5 more
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Zuun Baruun Kherem, a medieval Eurasian center in Eastern Mongolia. [PDF]

Asian Archaeol
Wright J, Pursey L, Pleuger-Dreibrodt S, Misterkiewicz A, Byambatsuren B, Green EJ.   +5 more
europepmc   +1 more source

Compositional data analysis in archaeometry [PDF]

, 2003
Cool, HEM, Baxter, MJ, Beardah, CC, Jackson, CM   +3 more
core  

Silicon‐Based Anodes for Sulfide Solid‐State Batteries: Failure Mechanisms and Multiscale Design Strategies

Advanced Energy Materials, EarlyView.
Silicon anodes in sulfide SSBs face coupled electrochemo‐mechanical failure by interface instability. This review examined recent advances and proposed mitigation strategies via material‐, electrode/interface‐, and cell‐level‐ engineering. We further evaluate scalable synthesis of sulfide SEs.
Murugesan Karuppaiah, JaeWook Seo, SeEun Park, Seung Hyeok Chu, Jung Kyoo Lee   +4 more
wiley   +1 more source

Correlation between the color stability and contact profilometry results of different CAD/CAM ceramic materials after staining with black shammah and DZRT smokeless tobacco. [PDF]

Tob Induc Dis
AlWadei MH.
europepmc   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Stainability of Polished and Glazed Printed Monolithic Zirconia After Coffee Thermocycling. [PDF]

Clin Exp Dent Res
Soleimani S, Beyabanaki E, Shakeri K, Ashtiani RE, Tabatabaian F.   +4 more
europepmc   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Effect of Finishing Protocol Treatments on Optical Properties of Super Translucent Zirconia After Simulated Wear. [PDF]

Dent J (Basel)
Žagar M, Kovačić I, Kovačić I, Pongrac R, Ćelić R.   +4 more
europepmc   +1 more source