Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Kirk Tanner"'
Autor:
Christine E. Brown, Samantha Bucktrout, Lisa H. Butterfield, Olga Futer, Evanthia Galanis, Adilia Hormigo, Michael Lim, Hideho Okada, Robert Prins, Sara Siebel Marr, Kirk Tanner
Publikováno v:
Journal of Translational Medicine, Vol 20, Iss 1, Pp 1-12 (2022)
Abstract Harnessing the effector mechanisms of the immune system to combat brain tumors with antigen specificity and memory has been in research and clinical testing for many years. Government grant mechanisms and non-profit organizations have suppor
Externí odkaz:
https://doaj.org/article/1deb29f0d09c4e3197e81e3d1a0cd1f9
Autor:
Singh, Prashant, Trehern, William, Vela, Brent, Sharma, Prince, Kirk, Tanner, Pei, Zongrui, Arroyave, Raymundo, Gao, Michael C., Johnson, Duane D.
Publikováno v:
In International Journal of Plasticity August 2024 179
Autor:
Khan, Tasneem, Kirk, Tanner, Vazquez, Guillermo, Singh, Prashant, Smirnov, A V, Johnson, Duane D, Youssef, Khaleed, Arroyave, Raymundo
Stacking Fault Energy (SFE) is an intrinsic alloy property that governs much of the plastic deformation mechanisms observed in fcc alloys. While SFE has been recognized for many years as a key intrinsic mechanical property, its inference via experime
Externí odkaz:
http://arxiv.org/abs/2111.03591
Autor:
Sharma, Aayush, Singh, Prashant, Kirk, Tanner, Levitas, Velary I., Liaw, Peter K., Balasubramanian, Ganesh, Arroyave, Raymundo, Johnson, Duane D
Phase diagrams supported by density functional theory methods can be crucial for designing high-entropy alloys that are subset of multi-principal$-$element alloys. We present phase and property analysis of quinary (MoW)$_{x}$Zr$_{y}$(TaTi)$_{1-x-y}$
Externí odkaz:
http://arxiv.org/abs/2109.02641
Autor:
Wang, Yuhao, Tian, Yefan, Kirk, Tanner, Laris, Omar, Ross, Jr., Joseph H., Noebe, Ronald D., Keylin, Vladimir, Arróyave, Raymundo
Publikováno v:
Acta Mater. 194, 144 (2020)
Machine learning was utilized to efficiently boost the development of soft magnetic materials. The design process includes building a database composed of published experimental results, applying machine learning methods on the database, identifying
Externí odkaz:
http://arxiv.org/abs/2002.05225
Autor:
Vela, Brent, Acemi, Cafer, Singh, Prashant, Kirk, Tanner, Trehern, William, Norris, Eli, Johnson, Duane D., Karaman, Ibrahim, Arróyave, Raymundo
Publikováno v:
In Acta Materialia 15 April 2023 248
Autor:
Abu-Odeh, Anas, Galvan, Edgar, Kirk, Tanner, Mao, Huahai, Chen, Qing, Mason, Paul, Malak, Richard, Arroyave, Raymundo
High Entropy Alloys (HEAs), Multi-principal Component Alloys (MCA), or Compositionally Complex Alloys (CCAs) are alloys that contain multiple principal alloying elements. While many HEAs have been shown to have unique properties, their discovery has
Externí odkaz:
http://arxiv.org/abs/1712.02442
Publikováno v:
In Scripta Materialia 1 February 2022 208
Autor:
Khan, Tasneem Z., Kirk, Tanner, Vazquez, Guillermo, Singh, Prashant, Smirnov, A.V., Johnson, Duane D., Youssef, Khaled, Arróyave, Raymundo
Publikováno v:
In Acta Materialia 1 February 2022 224
Autor:
Ingo K. Mellinghoff, Brian Alexander, Donald Berry, Nicholas Blondin, Meredith Buxton, Webster Cavenee, Howard Colman, John de Groot, Macarena I. de la Fuente, Benjamin Ellingson, Gary Gordon, Emma M.V. Hyddmark, Mustafa Khasraw, Andrew Lassman, Eudocia Lee, Wenbin Li, Michael Lim, Tom Mikkelsen, Apoorva Nelli, James Perry, Erik Sulman, Kirk Tanner, Michael Weller, Patrick Y. Wen, Timothy Cloughesy
Publikováno v:
Cancer Research. 83:CT062-CT062
Background: GBM AGILE (Glioblastoma Adaptive, Global, Innovative Learning Environment) is a biomarker based, multi-arm, international, seamless Phase 2/3 Response Adaptive Randomization platform trial designed to rapidly identify experimental therapi