Degree Department
3 Matching Results
Results open in a new window/tab.
Results:
1 - 3 of
3
Characterize traction–separation relation and interfacial imperfections by data-driven machine learning models
This article combines machine learning (ML), finite element analysis (FEA), and empirical experiments to develop data-driven models that characterize interfacial mechanical properties precisely. It also provides a code package containing trained ML models, allowing other researchers to establish T–S relations for different material interfaces.
Date:
July 12, 2021
Creator:
Ferdousi, Sanjida; Chen, Qiyi; Soltani, Mehrzad; Zhu, Jiadeng; Cao, Pengfei; Choi, Wonbong et al.
System:
The UNT Digital Library
Engineering the Uniform Lying Helical Structure in Chiral Nematic Liquid Crystals: From Morphology Transition to Dimension Control
This article varies the surface anchoring strength and achieves a uniform lying helical structure with long-range order as thermodynamically stable state without any external support in Chiral nematic liquid crystals (CLCs).
Date:
April 12, 2021
Creator:
Jia, Zhixuan; Pawale, Tejal; Guerrero-García, Guillermo I.; Hashemi, Sid; Martínez-González, José A. & Li, Xiao
System:
The UNT Digital Library
Crystallographic texture dependent bulk anisotropic elastic response of additively manufactured Ti6Al4V
This article identifies a bulk texture effect on elastic anisotropy in laser powder bed fused Ti6Al4V by employing an effective bulk modulus elastography technique coupled with ultrasound shear wave velocity measurement at a frequency of 20 MHz inside the material.
Date:
January 12, 2021
Creator:
Pantawane, Mangesh V.; Yang, Teng; Jin, Yuqi; Joshi, Sameehan; Dasari, Sriswaroop; Sharma, Abhishek et al.
System:
The UNT Digital Library