Results 151 to 160 of about 1,617,247 (300)

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source

EBSD Study of Creep‐Induced Lattice Misorientation in MgO‐Particle‐Reinforced Austenitic Steel Composites

Advanced Engineering Materials, EarlyView.
Creep experiments at 900°C on coarse‐grained steel‐ceramic composites containing recycled magnesia reveal that higher ceramic volume fractions significantly enhance the creep resistance. Detailed EBSD investigations identify subgrain formation in the steel matrix as the dominant deformation mechanism.
Moritz Müller, Amaya Compart, Mahnaz Mehdizadehlima, Serhii Yaroshevskyi, Christos G. Aneziris, Horst Biermann, Anja Weidner   +6 more
wiley   +1 more source

Accelerating Discovery of Leukemia Inhibitors Using AI-Driven Quantitative Structure-Activity Relationship: Algorithm Development and Validation. [PDF]

JMIR AI
Kakraba S, Agyemang EF, Shmookler Reis RJ.   +2 more
europepmc   +1 more source

Quantitative structure-activity relationship modeling for predication of inhibition potencies of imatinib derivatives using SMILES attributes. [PDF]

Sci Rep, 2022
Hamzehali H, Lotfi S, Ahmadi S, Kumar P.
europepmc   +1 more source

Laser Metal Powder Deposition of Titanium Microalloyed HSLA Steel FeC0.12Si0.25Mn1.3

Advanced Engineering Materials, EarlyView.
This study investigates the additive manufacturing of titanium‐doped high‐strength low‐alloy (HSLA) steel via laser metal deposition. It reveals distinct process‐structure relationships for elemental powder blends compared to prealloyed feedstocks.
Olaf Stelling, Matthias Steinbacher, Nils Ellendt   +2 more
wiley   +1 more source

Quantitative Structure-Activity Relationship

Japanese Journal of Pesticide Science, 2013
openaire   +2 more sources

Machine Learning-Enhanced Quantitative Structure-Activity Relationship Modeling for DNA Polymerase Inhibitor Discovery: Algorithm Development and Validation. [PDF]

JMIR AI
Kakraba S, Ayyadevara S, Yadem Clement A, Abraham KE, Compadre CM, Shmookler Reis RJ.   +5 more
europepmc   +1 more source

Leveraging Cell Painting Images to Expand the Applicability Domain and Actively Improve Deep Learning Quantitative Structure-Activity Relationship Models. [PDF]

Chem Res Toxicol, 2023
Herman D, Kańduła MM, Freitas LGA, van Dongen C, Le Van T, Mesens N, Jaensch S, Gustin E, Micholt L, Lardeau CH, Varsakelis C, Reumers J, Zoffmann S, Will Y, Peeters PJ, Ceulemans H.   +15 more
europepmc   +1 more source

Piezoresistive Monitoring of Carbon Nanomaterial‐Reinforced Epoxy Composites Under Cyclic and Fatigue Loading: A Review

Advanced Engineering Materials, EarlyView.
Carbon nanomaterial‐reinforced epoxy composites exhibit pronounced piezoresistive behavior, enabling intrinsic damage sensing under cyclic and fatigue loading. This review critically compares carbon nanotube and graphene systems, correlating filler content, percolation threshold, and gauge factor with sensing stability and damage evolution.
J. M. Parente, J. Nunes‐Pereira, A. P. Silva, P. N. B. Reis   +3 more
wiley   +1 more source

Quantitative Structure-Activity Relationship Modeling and Molecular Docking Studies of TgCDPK1 Inhibitors in Toxoplasma gondii. [PDF]

Microbiologyopen
Lesani S, Tavalla M, Eslami G, Boozhmehrani MJ.   +3 more
europepmc   +1 more source