Results 121 to 130 of about 196,486 (266)

Spectroscopic Methods Applied in Food Quality Determination. [PDF]

Foods
Wu X.
europepmc   +1 more source

Precipitation Simulations of the O‐Phase in Ti2AlNb Alloys Processed by Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
Simulated and experimental evolution of the O‐phase volume fraction during postprocessing of a Ti‐21Al‐25Nb (at.%) alloy processed by laser powder bed fusion. With results of sensitivity to input parameters from a thorough and quantified analysis, the interfacial energy matrix/precipitate is the most relevant input parameter for the simulation of the O‐
Silvana Tumminello, Joachim Gussone, Suzana G. Fries, Marcus Rackel, Andreas Stark, Norbert Schell, Jan Haubrich, Guillermo Requena   +7 more
wiley   +1 more source

Mixed-Phase Crystallization and Resonance Tuning in Sn-Incorporated GST Thin Films: Experimental Study with THz Metasurface Simulation

ACS Omega
Nantarat Srisuai, Kamonchanok Duangkanya, Yuttana Intaravanne, Chanunthorn Chananonnawathorn, Khwanchai Tantiwanichapan, Jirawat Assawakhajornsak, Hideki Nakajima, Mati Horprathum   +7 more
doaj   +1 more source

Regioselective Hydroboration of Terminal Alkenes with the Addition of Triflic Acid to Borane. [PDF]

J Org Chem
Fourati I, Woerpel KA.
europepmc   +1 more source

Spectroscopic notes [PDF]

Journal of the Franklin Institute
openaire   +2 more sources

A Dislocation Perspective on Strength and Toughness in Ceramics

Advanced Engineering Materials, EarlyView.
Dislocations in ceramics enjoy a long but yet under‐appreciated history. The three research waves for dislocations in ceramics highlight the topic evolution over the last 90 years. This review focuses on the impact of dislocation on strength and toughness in ceramics.
Xufei Fang
wiley   +1 more source

End-to-end multimodal structure elucidation from raw spectra combining contrastive learning and evolutionary algorithms. [PDF]

Nat Commun
Mirza A, Patiny L, Jablonka KM.
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

A Generalized NMF-Based Method for Analyzing Time-Resolved Spectroscopic Data. [PDF]

J Phys Chem A
Kobeleva E, Chewle S, Horch M, Weber M.
europepmc   +1 more source

Influence of Si Content and Milling Duration on the Microstructure and Mechanical–Tribological Properties of AlCoCrFeNiSi High‐Entropy Alloys

Advanced Engineering Materials, EarlyView.
Si‐doped AlCoCrFeNi high‐entropy alloys are synthesized by mechanical alloying to reveal the effect of Si content and milling time on phase evolution, microstructural refinement, and tribological behavior. A transition from FCC to BCC structure, significant grain refinement, and enhanced hardness and wear resistance are achieved, with the 4 at% Si ...
Mustafa Okumuş, Mehmet Emin Demir, Sercan Özpınar   +2 more
wiley   +1 more source