What Can Defects Tell Us About Magnetic Materials? TM-CNN's Defect Whisperer Approach

5 Apr 2025

Defect dynamics unveiled! TM-CNN quantifies junctions/terminals in magnetic films, linking structure to material properties.

Why TM-CNN Is a Material Scientist's New Best Friend

5 Apr 2025

Revolutionize defect analysis with TM-CNN! Spot tiny flaws in magnetic structures. Automates annotations for faster results.

Defect Detection, AI Style: How TM-CNN Is Changing Materials Science

5 Apr 2025

TM-CNN detects defects in magnetic patterns with 98.8% accuracy, blending template matching and CNNs for efficient material analysis!

The Role of Curl Terms in Micromorphic Models

23 Mar 2025

This study explores an inertia-augmented relaxed micromorphic model incorporating Curl P & Curl Ṗ to enhance wave propagation predictions in metamaterials.

How Symmetric and Skew-Symmetric Tensors Interact

23 Mar 2025

Explore 4th order tensors in tetragonal symmetry, their Voigt notation, and the role of symmetric and skew-symmetric tensors in dispersion curve modeling.

Semi-Analytical Algorithm for Metamaterial Parameter Fitting

23 Mar 2025

A Mathematica-based semi-analytical fitting algorithm optimizes micromorphic model parameters using Comsol Multiphysics® data and analytical asymptotes.

The Science Behind Stronger, Smarter Materials

23 Mar 2025

Discover how refining asymptotes in micromorphic models improves wave dispersion accuracy by solving third-order polynomials and optimizing parameter fitting.

A New Method for Predicting How Waves Move Through Materials

23 Mar 2025

Explore how Curl P improves asymptotic fitting in micromorphic models, simplifying wave propagation analysis and optimizing metamaterial parameter tuning.

Fine-Tuning Acoustic and Optical Waves in Metamaterials

23 Mar 2025

Explore asymptotic fitting in micromorphic models, refining dispersion curve analysis & balancing Bloch-Floquet limits for precise metamaterial wave simulations