Zobrazeno 1 - 10
of 439
pro vyhledávání: '"R. Kalidindi"'
Autor:
Venkata Surya Karthik Adapa, Nicholas P. Leclerc, Aditya Venkatraman, Thomas Feldhausen, Surya R. Kalidindi, Christopher J. Saldana
Publikováno v:
Materials & Design, Vol 229, Iss , Pp 111892- (2023)
While the fabrication of graded materials by directed energy deposition (DED) has led to accelerated materials discovery, the ability to rapidly explore sufficiently large material composition spaces is limited due to the time-intensive nature of con
Externí odkaz:
https://doaj.org/article/16a3a9e0970e48aa83f6a59e270e0da6
Publikováno v:
npj Computational Materials, Vol 7, Iss 1, Pp 1-9 (2021)
Abstract Diffraction techniques can powerfully and nondestructively probe materials while maintaining high resolution in both space and time. Unfortunately, these characterizations have been limited and sometimes even erroneous due to the difficulty
Externí odkaz:
https://doaj.org/article/3cd3950f2ddd406b92a130b336fb6701
Autor:
Andrew Mann, Surya R. Kalidindi
Publikováno v:
Frontiers in Materials, Vol 9 (2022)
Recent works have demonstrated the viability of convolutional neural networks (CNN) for capturing the highly non-linear microstructure-property linkages in high contrast composite material systems. In this work, we develop a new CNN architecture that
Externí odkaz:
https://doaj.org/article/c5fd07a525674a59ad9259c0341245ac
Publikováno v:
Frontiers in Materials, Vol 9 (2022)
Digital twins are emerging as powerful tools for supporting innovation as well as optimizing the in-service performance of a broad range of complex physical machines, devices, and components. A digital twin is generally designed to provide accurate i
Externí odkaz:
https://doaj.org/article/496de1002e724dff82f714eb2a2889a0
Publikováno v:
Materials & Design, Vol 197, Iss , Pp 109198- (2021)
This paper explores the viability and benefits of building a computationally low-cost surrogate model relating the mechanical performance of micro-springs to crystallographic texture and single-crystal elastic constants. This task is accomplished by
Externí odkaz:
https://doaj.org/article/6545776ec2234ea08c9a95e527133d9a
Publikováno v:
Frontiers in Materials, Vol 7 (2020)
Externí odkaz:
https://doaj.org/article/ae1238bf7ec348438278f1c8462c56a9
Autor:
Sezen Yucel, Robert J. Moon, Linda J. Johnston, Douglas M. Fox, Byong Chon Park, E. Johan Foster, Surya R. Kalidindi
A semi-automatic image analysis program, SMART, was used to analyze transmission electron microscopy (TEM) images from four laboratories that participated in an interlaboratory comparison study by Meija et al. on CNC particle size measurement by TEM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56c38160413a260a22a193ca4f341237
https://nrc-publications.canada.ca/eng/view/object/?id=02a70967-888d-49ef-993b-24253a83f0e6
https://nrc-publications.canada.ca/eng/view/object/?id=02a70967-888d-49ef-993b-24253a83f0e6
Autor:
Siddhartha Pathak, Surya R. Kalidindi, Jordan S. Weaver, Yongqiang Wang, Russell P. Doerner, Nathan A. Mara
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
Abstract We discuss and demonstrate the application of recently developed spherical nanoindentation stress-strain protocols in characterizing the mechanical behavior of tungsten polycrystalline samples with ion-irradiated surfaces. It is demonstrated
Externí odkaz:
https://doaj.org/article/94536d93ec16491b963e7b712ba13f71
Publikováno v:
Integrating Materials and Manufacturing Innovation. 11:352-362
Autor:
Andrew Castillo, Surya R. Kalidindi
Publikováno v:
Frontiers in Materials, Vol 6 (2019)
This paper presents a two-step Bayesian framework for the estimation of the intrinsic single crystal elastic stiffness parameters from the measurements of spherical indentation stress-strain responses in multiple individual grains of a polycrystallin
Externí odkaz:
https://doaj.org/article/682d2641122248c592d7418994c03088