Results 91 to 100 of about 10,466 (212)

Poisson's ratio in cubic materials

, 2006
Expressions are given for the maximum and minimum values of Poisson's ratio $\nu$ for materials with cubic symmetry. Values less than -1 occur if and only if the maximum shear modulus is associated with the cube axis and is at least 25 times the value of
Norris, Andrew N.
core   +2 more sources

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Failure of classical elasticity in auxetic foams

, 2012
A recent derivation [P.H. Mott and C.M. Roland, Phys. Rev. B 80, 132104 (2009).] of the bounds on Poisson's ratio, v, for linearly elastic materials showed that the conventional lower limit, -1, is wrong, and that v cannot be less than 0.2 for classical ...
Giller, C. B., Mott, P. H., Roh, J. H., Roland, C. M.   +3 more
core  

Elastic properties of cubic crystals: Every's versus Blackman's diagram

, 2007
Blackman's diagram of two dimensionless ratios of elastic constants is frequently used to correlate elastic properties of cubic crystals with interatomic bondings.
Chadwick P, Ledbetter H, Ledbetter H, Maksimov E G, Paszkiewicz T, Paszkiewicz T, S Wolski, T Paszkiewicz, Wojciechowski K W, Wojciechowski K W, Wolfe J P   +10 more
core   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Enhancing Sensitivity across Scales with Highly Sensitive Hall Effect‐Based Auxetic Tactile Sensors

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Herein, a tactile sensor based on hall‐effect sensors with an auxetic structure, called Hall effect‐based auxetic tactile sensor (HEATS), is proposed. The change in magnetism resulting from the deformation of the auxetic structure is utilized for sensing.
Youngheon Yun, Dongchan Lee, Soyeon Lee, Salvador Pané, Josep Puigmartí‐Luis, Sungwoo Chun, Bumjin Jang   +6 more
wiley   +1 more source

Development of auxetic shoulder straps for sport backpacks with improved thermal comfort

AUTEX Research Journal
Auxetic foams and lattices, characterized by a negative Poisson’s ratio, offer unique mechanical and thermal properties that make them promising candidates for next-generation sports and outdoor equipment.
Bianca Eleonora, Parisi Mariafederica, Colombo Daniel, La Fauci Giuseppe, Dotti Francesca, Ferri Ada, Colonna Martino   +6 more
doaj   +1 more source

Young's and shear moduli and Poisson's ratio for elastic media of high and middle symmetry

, 2006
Using bases of fourth rank tensorial bases of complete Voigt's symmetry elaborated by Walpole we obtained expressions for inverse of Young's modulus E, inverse of shear modulus G and Poisson's ratio, which depend on components of the stiffness tensor S ...
Alderson, Amir, Baughman, Boulanger, Chung, Erdacos, Evans, Gunton, Gunton, Guo, Jain, Lakes, Li, Love, Lubarda, Milstein, Nye, Paszkiewicz, Paszkiewicz, Rovati, Rychlewski, Sirotin, Ting, Tokmakova, Turley, Turley, Walpole   +26 more
core   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

A novel design of mono and bi-cells based hybrid auxetic structures and assessment of their compressive properties

Journal of Materials Research and Technology
Auxetic structures have evolved beyond conventional cellular structures by offering unique attributes, including lightweight design, auxeticity, and exceptional mechanical properties.
Babar Ashfaq, Ghulam Hussain, Muhammad Bilal Khan, Mohammed Alkahtani, Hongyu Wei   +4 more
doaj   +1 more source