Results 71 to 80 of about 2,390 (220)

Energy absorption of gradient triply periodic minimal surface structure manufactured by stereolithography

Reviews on Advanced Materials Science
Triply periodic minimal surface (TPMS) metamaterials possess exceptional properties not commonly found in natural materials. TPMS metamaterials are used in lightweight structures and impact energy absorption structures due to their surface geometry and ...
Liang Yingjing, He Huiyi, Yin Jun, Liu Yijie, Huang Jianzhang, Wu Zhigang, Zhai Yun, Hui David, Yan Lewei   +8 more
doaj   +1 more source

Design and Additive Manufacturing of TPMS Heat Exchangers

Applied Sciences
Triply periodic minimal surface (TPMS) heat exchangers (HXs) have been investigated in this paper along with additive manufacturing (AM). Heat transfer coefficients, pressure drops, and thermal capacity were systematically evaluated as functions of wall ...
Jian Liu, David Cheng, Khin Oo, Ty-Liyiah McCrimmon, Shuang Bai   +4 more
doaj   +1 more source

Functionally graded porous scaffolds in multiple patterns: New design method, physical and mechanical properties

Materials & Design, 2018
Functionally Graded Porous Scaffold (FGPS) becomes an attractive candidate for bone graft due to its combination of better mechanical and biological requirements with the scaffold gradient to better mimic host tissue.
Fei Liu, Zhongfa Mao, Peng Zhang, David Z. Zhang, Junjie Jiang, Zhibo Ma   +5 more
doaj   +1 more source

Introgressed Variation in TaMYB7‐A1 Drives Graded Dormancy and Climate‐Adaptive Pre‐Harvest Sprouting Resistance in Wheat

Advanced Science, EarlyView.
TaMYB7‐A1 directly activates TaABI5 to enhance ABA signaling and regulate ABA‐GA homeostasis, enforcing seed dormancy. Its superior allele, derived from wild einkorn introgression, harbors a MITE insertion that elevates expression and two amino acid substitutions that enhance transcriptional activity, collectively generating graded PHS resistance for ...
Hao Wang, Dongzhi Wang, Yafei Guo, Qi Zheng, Min Zhang, James Simmonds, Jian Hou, Xuemei Liu, Xuelei Lin, Xiaomin Bie, Xiansheng Zhang, Xiaohui Li, Yuan Chen, Xueyong Zhang, Cristobal Uauy, Fei Lu, Chengcai Chu, Zhixi Tian, Jun Xiao   +18 more
wiley   +1 more source

Coarsening dynamics of ternary amphiphilic fluids and the self-assembly of the gyroid and sponge mesophases: lattice-Boltzmann simulations

, 2004
By means of a three-dimensional amphiphilic lattice-Boltzmann model with short-range interactions for the description of ternary amphiphilic fluids, we study how the phase separation kinetics of a symmetric binary immiscible fluid is altered by the ...
Coveney, Peter V., González-Segredo, Nélido   +1 more
core   +1 more source

Precise Tailoring 3D Printed In Situ Toughening Low‐k Microwave Transparent Structure via Thiol‐acrylate Chain Transfer Behavior

Advanced Science, EarlyView.
An in situ thiol–acrylate chain transfer‐mediated toughening strategy is introduced for Digital Light Processing (DLP) printing. Benefiting from its excellent printability, a printed gyroid lattice‐filled plate (100 µm wall thickness) achieves 92% transmittance at 10 GHz under a 50° incidence angle following structural optimization. ABSTRACT The unique
Ce Bian, Kai Zheng, Ruoyu Chen, Wansong Gu, Guanxiang Zhong, Difei Liang, Longjiang Deng, Hetao Chu   +7 more
wiley   +1 more source

Band structures of P-, D-, and G-surfaces

, 2005
We present a theoretical study on the band structures of the electron constrained to move along triply-periodic minimal surfaces. Three well known surfaces connected via Bonnet transformations, namely P-, D-, and G-surfaces, are considered.
A. Carlsson, A. Yanase, H. Schwarz, J. Charvolin, J. Zak, M. Ikegami, M. Lax, M. Spivak, Nobuhisa Fujita, Osamu Terasaki, R. Osserman, S. Andersson   +11 more
core   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Comparative Study of the Effective Properties of 0–3 and Gyroid Triply Periodic Minimal Surface Cement‐Piezocomposites

Global Challenges, 2023
In the present numerical simulation work, effective elastic and piezoelectric properties are calculated and a comparative study is conducted on a cement matrix‐based piezocomposite with 0–3 and gyroid triply periodic minimal surface (TPMS) inclusions ...
Saptarshi Karmakar, Raj Kiran, Rahul Vaish, Vishal Singh Chauhan, Samia Ben Ahmed, Imed Boukhris, Wonseop Hwang, Tae Hyun Sung, Anuruddh Kumar   +8 more
doaj   +1 more source

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