Zobrazeno 1 - 10
of 36
pro vyhledávání: '"C. E. Reid"'
Publikováno v:
Materials, Vol 17, Iss 10, p 2458 (2024)
This study introduces an advanced computational method aimed at accelerating continuum-scale processes using crystal plasticity approaches to predict mechanical responses in cobalt-based superalloys. The framework integrates two levels, namely, sub-g
Externí odkaz:
https://doaj.org/article/3bf1143e4bde4b47b8df3cb1b5a45558
Publikováno v:
Environmental Research: Health, Vol 1, Iss 2, p 025005 (2023)
Fine particulate air pollution (PM _2.5 ) is decreasing in most areas of the United States, except for areas most affected by wildfires, where increasing trends in PM _2.5 can be attributed to wildfire smoke. The frequency and duration of large wildf
Externí odkaz:
https://doaj.org/article/3e7a7d237e84443dbccc4c76056e7df6
Publikováno v:
Materials, Vol 15, Iss 13, p 4447 (2022)
The current study focuses on the modeling of two-phase γ-γ′ nickel-based superalloys, utilizing multi-scale approaches to simulate and predict the creep behaviors through crystal plasticity finite element (CPFE) platforms. The multi-scale framewo
Externí odkaz:
https://doaj.org/article/fbdb5ff84630487ab702991b898ee9fc
Autor:
Houlong L. Zhuang, Vinit Sharma, Kamal Choudhary, Brian L. DeCost, Ruth Pachter, Andrew C. E. Reid, Albert V. Davydov, Evan J. Reed, Sergei V. Kalinin, Pinar Acar, Jason R. Hattrick-Simpers, Gowoon Cheon, Ankit Agrawal, David Vanderbilt, A. Gilad Kusne, Subhasish Mandal, Francesca Tavazza, Ghanshyam Pilania, Zachary T. Trautt, Kevin F. Garrity, Jie Jiang, Angela R. Hight Walker, Karin M. Rabe, Kristjan Haule, Andrea Centrone, Bobby G. Sumpter, Adam J. Biacchi, Xiaofeng Qian
Publikováno v:
npj Computational Materials, Vol 6, Iss 1, Pp 1-13 (2020)
The Joint Automated Repository for Various Integrated Simulations (JARVIS) is an integrated infrastructure to accelerate materials discovery and design using density functional theory (DFT), classical force-fields (FF), and machine learning (ML) tech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f4c82fa883525fe42fc620b5b4c9b8c
http://link.springer.com/article/10.1038/s41524-020-00440-1
http://link.springer.com/article/10.1038/s41524-020-00440-1
Autor:
Stefanos Papanikolaou, Ankit Agrawal, Zijiang Yang, Alok Choudhary, Andrew C. E. Reid, Wei-keng Liao, Carelyn E. Campbell
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-14 (2020)
Scientific Reports
Scientific Reports
The density and configurational changes of crystal dislocations during plastic deformation influence the mechanical properties of materials. These influences have become clearest in nanoscale experiments, in terms of strength, hardness and work harde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2459293bf5dd50fbc261fad7495d0257
https://doi.org/10.1038/s41598-020-65157-z
https://doi.org/10.1038/s41598-020-65157-z
Publikováno v:
New Zealand veterinary journal. 68(2)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::4c6b7164baaef4f1f5f673a342c95ba3
https://pubmed.ncbi.nlm.nih.gov/31607211
https://pubmed.ncbi.nlm.nih.gov/31607211
Autor:
Reda Al-Bahrani, Surya R. Kalidindi, Andrew C. E. Reid, Wei-keng Liao, Alok Choudhary, Ankit Agrawal, Zijiang Yang, Stefanos Papanikolaou
Publikováno v:
IJCNN
Deep learning has shown its superiority to traditional machine learning methods in various fields, and in general, its success depends on the availability of large amounts of reliable data. However, in some scientific fields such as materials science
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4f4fc44ed4b3c62fa60d63f98076970
https://doi.org/10.1109/ijcnn.2019.8852162
https://doi.org/10.1109/ijcnn.2019.8852162
Publikováno v:
J Mech Phys Solids
Systems far from equilibrium respond to probes in a history-dependent manner. The prediction of the system response depends on either knowing the details of that history or being able to characterize all the current system properties. In crystal plas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::732c8589694c15643e3dbf5f43733e53
https://pubmed.ncbi.nlm.nih.gov/31212541
https://pubmed.ncbi.nlm.nih.gov/31212541
Publikováno v:
Acta Materialia. 114:106-115
This paper develops non-Schmid crystal plasticity constitutive models at two length scales, and bridges them in a multi-scale framework. The constitutive models address thermo-mechanical behavior of Nickel-based superalloys for a large temperature ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fdeab1c6a4dd2e38661a3f88d7bf986
https://doi.org/10.1016/j.actamat.2016.05.016
https://doi.org/10.1016/j.actamat.2016.05.016
Autor:
Francesca Tavazza, Faical Y. Congo, Zachary T. Trautt, Marcus W Newrock, Sugata Chowdhury, Andrew C. E. Reid, Qin Zhang, Nhan Van Nguyen, Kamal Choudhary
Publikováno v:
Scientific Data
We perform high-throughput density functional theory (DFT) calculations for optoelectronic properties (electronic bandgap and frequency dependent dielectric function) using the OptB88vdW functional (OPT) and the Tran-Blaha modified Becke Johnson pote
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::128fabd79274a54bbee191b757e06dc6
http://europepmc.org/articles/PMC5944908
http://europepmc.org/articles/PMC5944908