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Results 201 to 210 of about 535,963 (306)

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source

ClareV: a contrastive learning framework for context-aware TRBV representations in TCR repertoires. [PDF]

Front Immunol
Huo M, Cheng Y, Shen T, Wang J, Jiang Y.
europepmc +1 more source

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 +5 more
wiley +1 more source

Deep forecasting architectures mirror ecological time scales in water quality prediction. [PDF]

Environ Sci Ecotechnol
Yu Y +7 more
europepmc +1 more source

Symmetry‐Guided Multifunctional Acoustic System Based on Mechanically Actuated Sonic Crystals

Advanced Engineering Materials, EarlyView.
This study presents the design, simulation, and experimental validation of amultifunctional acoustic metamaterial based on rotationally engineered sonic crystals.By tuning cylinder orientations, controllable band gaps and six distinct functionalities—including switching, topological insulation, beam splitting, and logic operations—areachieved ...
Yuanyan Zhao, Sriram Subramanian, Gianluca Memoli +2 more
wiley +1 more source

Uncovering smooth structures in single-cell data with neighbor embeddings guided by predictability-computability-stability. [PDF]

Patterns (N Y)
Ma R, Li X, Hu J, Yu 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 +6 more
wiley +1 more source

Hysteroscopic Retrieval of Retained and Fractured Copper Intrauterine Devices: A Case Series of Three Patients and Literature Review. [PDF]

Cureus
Vijay N, Pathak A, Bhalerao A.
europepmc +1 more source

Embedded Compilers.

, 2009
For automation it is important to express the knowledge of the experts in a form that is understood by a computer. Each area of knowledge has its own terminology and ways of formulating things; be it by drawing diagrams, using formulae, or using formalized languages.
openaire +2 more sources

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 +3 more
wiley +1 more source

deep learning