Zobrazeno 1 - 10
of 257
pro vyhledávání: '"Raymundo, Arroyave"'
Autor:
Kyung Seok Woo, Alan Zhang, Allison Arabelo, Timothy D. Brown, Minseong Park, A. Alec Talin, Elliot J. Fuller, Ravindra Singh Bisht, Xiaofeng Qian, Raymundo Arroyave, Shriram Ramanathan, Luke Thomas, R. Stanley Williams, Suhas Kumar
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract While digital computers rely on software-generated pseudo-random number generators, hardware-based true random number generators (TRNGs), which employ the natural physics of the underlying hardware, provide true stochasticity, and power and
Externí odkaz:
https://doaj.org/article/2582b4e475ea4c4097b339c5d489c17b
Autor:
Abdelrahman Elsayed, Taresh Guleria, Kadri C. Atli, Ophelia Bolmin, Benjamin Young, Philip J Noell, Brad L Boyce, Alaa Elwany, Raymundo Arroyave, Ibrahim Karaman
Publikováno v:
Materials & Design, Vol 244, Iss , Pp 113137- (2024)
Interlocking metasurfaces (ILMs) are a newly developed joining technology that relies on arrays of interlocking features that transmit force and constrain motion between adjoining bodies in one or more directions. This study explores harnessing the s
Externí odkaz:
https://doaj.org/article/f6383b28af8a4a92b2508b418fdf6184
Autor:
Sina Hossein Zadeh, Cem Cakirhan, Danial Khatamsaz, John Broucek, Timothy D. Brown, Xiaoning Qian, Ibrahim Karaman, Raymundo Arroyave
Publikováno v:
Materials & Design, Vol 244, Iss , Pp 113096- (2024)
The martensitic transformation in NiTi-based Shape Memory Alloys (SMAs) provides a basis for shape memory effect and superelasticity, thereby enabling applications requiring solid-state actuation and large recoverable shape changes upon mechanical lo
Externí odkaz:
https://doaj.org/article/9d92a7897e6b43dd944b73d185c44198
Autor:
Sofia Sheikh, Brent Vela, Vahid Attari, Xueqin Huang, Peter Morcos, James Hanagan, Cafer Acemi, Ibrahim Karaman, Alaa Elwany, Raymundo Arroyave´
Publikováno v:
Materials Research Letters, Vol 12, Iss 4, Pp 235-263 (2024)
Additive manufacturing (AM), especially Laser Powder-Bed Fusion (L-PBF), provides alloys with unique properties, but faces printability challenges like porosity and cracks. To address these issues, a co-design strategy integrates chemistry and proces
Externí odkaz:
https://doaj.org/article/8a4f6e16891a46f09035ae0e043f4fbd
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract We present a systematic investigation of thermodynamic stability, phase-reaction, and chemical activity of Al containing disordered Ti2(Al-Ga)C MAX phases using machine-learning driven high-throughput framework to understand the oxidation re
Externí odkaz:
https://doaj.org/article/d811645a7f84444db53169ced6e33964
Autor:
Vahid Attari, Raymundo Arroyave
Publikováno v:
Materials Theory, Vol 6, Iss 1, Pp 1-20 (2022)
Abstract Computational methods are increasingly being incorporated into the exploitation of microstructure–property relationships for microstructure-sensitive design of materials. In the present work, we propose non-intrusive materials informatics
Externí odkaz:
https://doaj.org/article/5d8a2e94fa8841928f49e3c2a1c5f091
Autor:
Bowen Lei, Tanner Quinn Kirk, Anirban Bhattacharya, Debdeep Pati, Xiaoning Qian, Raymundo Arroyave, Bani K. Mallick
Publikováno v:
npj Computational Materials, Vol 7, Iss 1, Pp 1-12 (2021)
Abstract Bayesian optimization (BO) is an indispensable tool to optimize objective functions that either do not have known functional forms or are expensive to evaluate. Currently, optimal experimental design is always conducted within the workflow o
Externí odkaz:
https://doaj.org/article/9f2f69e1532d4345b0eb8216ac8fc446
Autor:
Jaylen R. James, Meet Sanghvi, Austin R. C. Gerlt, Douglas Allaire, Raymundo Arroyave, Manny Gonzales
Publikováno v:
Frontiers in Materials, Vol 9 (2022)
In computational materials research, uncertainty analysis (more specifically, uncertainty propagation, UP) in the outcomes of model predictions is essential in order to establish confidence in the models as well as to validate them against the ground
Externí odkaz:
https://doaj.org/article/9cd00112aeb445c6bff87b1c5ce59e64
Autor:
Meelad Ranaiefar, Pejman Honarmandi, Lei Xue, Chen Zhang, Alaa Elwany, Ibrahim Karaman, Edwin J. Schwalbach, Raymundo Arroyave
Publikováno v:
Materials & Design, Vol 213, Iss , Pp 110328- (2022)
The desire for increased performance and functionality has introduced additional complexities to the design and fabrication of additively manufactured (AM) parts. However, addressing these needs would require improved control over local properties us
Externí odkaz:
https://doaj.org/article/8158a8487a804380a2243813d75def27
Publikováno v:
Ceramics International. 49:20041-20050