Results 121 to 130 of about 145,702 (257)

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Prediction of Chloride Penetration Depth in Concrete Using a Combined Ensemble-Neural Network Architecture: Facing Data Saturation. [PDF]

Materials (Basel)
Jang C, Kim SH, Jo YW, Kim HG.
europepmc   +1 more source

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

Study on the maximum penetration depth of GPR based on soil electromagnetic properties. [PDF]

Sci Rep
Lu S, Zhao D, Qian J, Zhang Z, Wei B.
europepmc   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

The Penetration Depth and Bactericidal Efficacy of 2% Chlorhexidine Iontophoresis in Human Coronal Dentin In Vitro. [PDF]

Int Dent J
Kijsamanmith K, Satitthummanit N, Thotsaphonphaisan C, Kurucharoenporn C, Ratarsa T, Lerdmaneepha V, Kanchanathipkhachorn N, Klaophimai A, Srisatjaluk R.   +8 more
europepmc   +1 more source

The dependence of X-ray elastic constants with respect to the penetration depth. [PDF]

J Appl Crystallogr, 2023
Mareau C.
europepmc   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

In Vitro Evaluation of the Effect of Microabrasion and Resin Infiltration Materials on Enamel Microhardness and Penetration Depth. [PDF]

J Funct Biomater
Devrimci EE, Gönüllü İ, Kemaloğlu H, Türkün M, Demirbaş A.   +4 more
europepmc   +1 more source

The Penetration Depth of Resin Infiltration Into Enamel: A Systematic Review. [PDF]

J Int Soc Prev Community Dent, 2023
Ibrahim DFA, Venkiteswaran A, Hasmun NN.
europepmc   +1 more source