Results 191 to 200 of about 323,837 (316)

Laplace transformation and weak convergence with an application to Fluorescence Resonance Energy Transfer (FRET)

, 2006
Giacomo Aletti
openalex   +1 more source

Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed FeCr(Si)N Stainless Steel

Advanced Engineering Materials, EarlyView.
The alloying element Nitrogen enhances stainless steel strength, corrosion resistance, and stabilizes austenite. This study develops austenitic FeCr(Si)N steel production via powder metallurgy. Fe20Cr and Si3N4 are hot isostatically pressed, creating an austenitic microstructure.
Louis Becker, Felix Radtke, Jonathan Lentz, Santiago Benito, Christoph Broeckmann, Sebastian Weber   +5 more
wiley   +1 more source

Effects of Pretreatment Processes on Grain Size and Wear Resistance of Laser-Induction Hybrid Phase Transformation Hardened Layer of 42CrMo Steel. [PDF]

Materials (Basel)
Zhang Q, Shen P, Chen Z, Wu G, Li Z, Wang W, Yao J.   +6 more
europepmc   +1 more source

Malignant transformation of human benign prostate epithelial cells by high linear energy transfer α-particles

, 2007
Hongzhen Li, Yongpeng Gu, Jun Miki, Bharati Hukku, David McLeod, Tom K. Hei, Johng S. Rhim   +6 more
openalex   +2 more sources

Nanoparticle‐Coated X2CrNiMo17‐12‐2 Powder for Additive Manufacturing – Part I: Surface, Flowability, and Optical Properties of SiC, Si, and Si3N4 Coated Metal Powders

Advanced Engineering Materials, EarlyView.
Herein, silicon‐based nanoparticle coatings on X2CrNiMo17‐12‐2 metal powder are presented. The coating process scale, process parameters, nanoparticle size (65–200 nm) as well as the coating amount are discussed regarding powder properties. The surface roughness affects the flowability, while reflectance depends on the coating material and surface ...
Arne Lüddecke, Nick Hantke, Harald Zetzener, Jan T. Sehrt, Arno Kwade   +4 more
wiley   +1 more source

Martensitic Transformation Mechanism In Situ Observation for the Simulated Coarse-Grained Heat-Affected Zone of DP1180 Steel. [PDF]

Materials (Basel)
Li W, Wang J, Su W, Wei Z, Wu J, Xu X, Wei J.   +6 more
europepmc   +1 more source

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

Enhanced framework embedded with data transformation and multi-objective feature selection algorithm for forecasting wind power. [PDF]

Sci Rep
Alharthi YZ, Chiroma H, Gabralla LA.
europepmc   +1 more source

Review: Solar Revolution: The Economic Transformation of the Global Energy Industry by Travis Bradford

, 2007
Umar Karim Mirza
openalex   +1 more source

Transformation of China's energy sector: trends and challenges [PDF]

, 2014
Hongyi Lai, Malcolm Warner
openalex   +1 more source