Results 191 to 200 of about 2,547,290 (363)

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

GPS tracking methods for spatiotemporal air pollution exposure assessment: comparison and challenges in study implementation. [PDF]

Int J Health Geogr
Kyriakou K, Flückiger B, Vienneau D, Probst-Hensch N, Jeong A, Imboden M, Karsies A, Schmitz O, Karssenberg D, Vermeulen R, Hoek G, de Hoogh K.   +11 more
europepmc   +1 more source

Enhancing Corrosion Resistance and Mechanical Strength of 3D‐Printed Iron Polylactic Acid for Marine Applications via Laser Surface Texturing

Advanced Engineering Materials, EarlyView.
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat, Mojtaba Karamimoghadam, Mohammadreza Lalegani Dezaki, Ali Zolfagharian, Giuseppe Casalino, Antonio Mateo, Mahdi Bodaghi   +6 more
wiley   +1 more source

Using augmented reality to enhance wax up training in dental education a feasibility study. [PDF]

Sci Rep
Schrenker J, Del Hougne M, Schmitter M, Höhne C.   +3 more
europepmc   +1 more source

Alpha-Particle and Deuteron Tracks in Eastman NTA Photographic Plates

, 1948
Robert L. Brock, Eugene Gardner
openalex   +2 more sources

Influence of Temperature on Scratch and Wear Properties of Technical Thermoplastics: Implications for Material Selection

Advanced Engineering Materials, EarlyView.
The share of technical thermoplastics is expected to grow further in the e‐mobility segment. In this study, a detailed temperature‐based tribological characterization of technical thermoplastics is performed. The tribological properties are discussed in terms of the dynamic mechanical properties of polymers at different ambient temperatures. A proof of
Harsha Raghuram, Thomas Koch, Vasiliki-Maria Archodoulaki   +2 more
wiley   +1 more source

Convolutional transform learning based fusion framework for scale invariant long term target detection and tracking in unmanned aerial vehicles. [PDF]

Sci Rep
Alrayes FS, Ahmad N, Alshuhail A, Alshammeri M, Alqazzaz A, Alkhiri H, Alqurni JS, Said Y.   +7 more
europepmc   +1 more source

Chart IV. Tracks of Centers of High Areas. February, 1895

, 1895

openalex   +1 more source

Tribology of ZrC Coatings and Spherical Tips Acquired with Extraordinarily Stiff, Metal Atomic Force Microscopy Probes

Advanced Engineering Materials, EarlyView.
In this research, ZrC coatings are evaluated against various counterprobes at the microscale using novel super‐stiff atomic force microscopy cantilevers. The chemical composition of the coating is shown to be an important factor influencing coating hardness and Young's modulus, while surface roughness, counterprobe hardness, and surface energy are the ...
Piotr Jenczyk, Marcin Michałowski, Bogdan Warcholiński, Michał Milczarek, Adam Gilewicz   +4 more
wiley   +1 more source

Iterative Learning Control Without Resetting Conditions of an Algorithm Based on a Finite-Time Zeroing Neural Network. [PDF]

Sensors (Basel)
Chai Y, Zhang F, Jiang D, Shao L, Wang J, Li J.   +5 more
europepmc   +1 more source