Results 221 to 230 of about 7,365 (273)

Study on the multi-wavelength variation of 3C 454.3. [PDF]

Sci Rep
Chen X, Hu S, Jiang Y, Xu J, Huang S, Zhou R, Yin H, Guo D, Li Y, Li H.   +9 more
europepmc   +1 more source

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

Advanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar, Akash Vyas, Mohammad Aatif Qazi, Nashit Jalal, Maria Ophelia Jarligo, Mostafa Yakout, Jing Liu, André McDonald   +7 more
wiley   +1 more source

Local transcriptional covariation produces accurate estimates of cell phenotype. [PDF]

Bioinformatics
Ozbay S, Parekh A, Singh R.
europepmc   +1 more source

LINEAR FORMS IN LOGARITHMS

LINEAR FORMS IN LOGARITHMS
openaire  

Molecular Dynamics Studies of Shape Memory Polymers: From Bead–Spring Models to Atomistic Simulations

Advanced Engineering Materials, EarlyView.
Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
wiley   +1 more source

Unveiling the Constraints of COSMO-SAC for PEG-Water Liquid-Liquid Equilibrium Prediction. [PDF]

Ind Eng Chem Res
de Souza ET, Alcantara ML, Bettio Staudt P, Coutinho JAP, Soares RP.   +4 more
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

Microscale Affinity Chromatography for Biointeraction Analysis: Strategies, Principles and Applications. [PDF]

J Sep Sci
Hage DS, Pinky NS, Sajeeb BK, Rahman MM, Olupathage H, Alim S, Kyei I, Zingler Z, Heenkenda S.   +8 more
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

Anomalous Sodium Insertion in Highly Oriented Graphite: Thermodynamics, Kinetics and Evidence for Two-Sided Intercalation. [PDF]

Angew Chem Int Ed Engl
Gan C, Xiao C, Wang H, van Aken PA, Merkle R, Bette S, Lotsch BV, Maier J.   +7 more
europepmc   +1 more source