Large Negative Poisson's Ratio and Anisotropic Mechanics in New Penta-PBN Monolayer. [PDF]
Sharma SB, Qattan IA, Kc S, Alsaad AM.
europepmc +1 more source
Interlayer sliding in the RuO2Zn2F2 bilayer induces ferroelectricity and enables reversible valley polarization switching. The electric dipole and valley‐resolved band edges are intimately coupled, revealing sliding ferroelectricity as a powerful mechanism for electrical control of valley degrees of freedom in 2D materials.
Djamel Bezzerga +3 more
wiley +1 more source
Large piezoelectric and thermal expansion coefficients with negative Poisson's ratio in strain-modulated tellurene. [PDF]
Sachdeva PK, Gupta S, Bera C.
europepmc +1 more source
An origami worm‐inspired robot achieves multimodal locomotion in confined pipelines through mechatronic integration that embeds actuation, control, and communication within each origami module. Large, reversible configuration and dimensional changes enable 25 gaits synthesized by a unified framework across peristaltic, inchworm, and wheel‐rolling modes
Qiwei Zhang +6 more
wiley +1 more source
Composite patch with negative Poisson's ratio mimicking cardiac mechanical properties: Design, experiment and simulation. [PDF]
Dong Z +6 more
europepmc +1 more source
Tailoring centripetal metamaterial with superelasticity and negative Poisson's ratio for organic solvents adsorption. [PDF]
Tian L +6 more
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An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen +7 more
wiley +1 more source
VAM-Based Equivalent Cauchy Model for Accordion Honeycomb Structures with Zero Poisson's Ratio. [PDF]
Lin Y +5 more
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Optimization of neural-network model using a meta-heuristic algorithm for the estimation of dynamic Poisson's ratio of selected rock types. [PDF]
Waqas U +3 more
europepmc +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source

