Zobrazeno 1 - 10
of 1 274
pro vyhledávání: '"Habib, N A"'
Autor:
Bonneville, Christophe, Bieberdorf, Nathan, Hegde, Arun, Asta, Mark, Najm, Habib N., Capolungo, Laurent, Safta, Cosmin
Prolonged contact between a corrosive liquid and metal alloys can cause progressive dealloying. For such liquid-metal dealloying (LMD) process, phase field models have been developed. However, the governing equations often involve coupled non-linear
Externí odkaz:
http://arxiv.org/abs/2406.17119
Publikováno v:
J. Vac. Sci. Technol. A 1 May 2024; 42 (3): 033408
We introduce a Bayesian optimization approach to guide the sputter deposition of molybdenum thin films, aiming to achieve desired residual stress and sheet resistance while minimizing susceptibility to stochastic fluctuations during deposition. Thin
Externí odkaz:
http://arxiv.org/abs/2405.03092
Autor:
Devereux, Christian, Yang, Yoona, Martí, Carles, Zádor, Judit, Eldred, Michael S., Najm, Habib N.
Machine learned chemical potentials have shown great promise as alternatives to conventional computational chemistry methods to represent the potential energy of a given atomic or molecular system as a function of its geometry. However, such potentia
Externí odkaz:
http://arxiv.org/abs/2311.07910
Engineering and applied science rely on computational experiments to rigorously study physical systems. The mathematical models used to probe these systems are highly complex, and sampling-intensive studies often require prohibitively many simulation
Externí odkaz:
http://arxiv.org/abs/2311.00553
Autor:
Robbe, Pieterjan, Andersson, David, Bonnet, Luc, Casey, Tiernan, Cooper, Michael W D, Matthews, Christopher, Sargsyan, Khachik, Najm, Habib N
The evolution and release of fission gas impacts the performance of UO2 nuclear fuel. We have created a Bayesian framework to calibrate a novel model for fission gas transport that predicts diffusion rates of uranium and xenon in UO2 under both therm
Externí odkaz:
http://arxiv.org/abs/2302.10227
Autor:
Robbe, Pieterjan, Blondel, Sophie, Casey, Tiernan, Lasa, Ane, Sargsyan, Khachik, Wirth, Brian D, Najm, Habib N
We construct a global sensitivity analysis framework for a coupled multiphysics model used to predict the changes in material properties and surface morphology of helium plasma-facing components in future fusion reactors. The model combines the parti
Externí odkaz:
http://arxiv.org/abs/2302.08630
We consider the problem of modeling heterogeneous materials where micro-scale dynamics and interactions affect global behavior. In the presence of heterogeneities in material microstructure it is often impractical, if not impossible, to provide quant
Externí odkaz:
http://arxiv.org/abs/2211.01330
Developing reliable interatomic potential models with quantified predictive accuracy is crucial for atomistic simulations. Commonly used potentials, such as those constructed through the embedded atom method (EAM), are derived from semi-empirical con
Externí odkaz:
http://arxiv.org/abs/2208.02374
Autor:
Anirudh, Rushil, Archibald, Rick, Asif, M. Salman, Becker, Markus M., Benkadda, Sadruddin, Bremer, Peer-Timo, Budé, Rick H. S., Chang, C. S., Chen, Lei, Churchill, R. M., Citrin, Jonathan, Gaffney, Jim A, Gainaru, Ana, Gekelman, Walter, Gibbs, Tom, Hamaguchi, Satoshi, Hill, Christian, Humbird, Kelli, Jalas, Sören, Kawaguchi, Satoru, Kim, Gon-Ho, Kirchen, Manuel, Klasky, Scott, Kline, John L., Krushelnick, Karl, Kustowski, Bogdan, Lapenta, Giovanni, Li, Wenting, Ma, Tammy, Mason, Nigel J., Mesbah, Ali, Michoski, Craig, Munson, Todd, Murakami, Izumi, Najm, Habib N., Olofsson, K. Erik J., Park, Seolhye, Peterson, J. Luc, Probst, Michael, Pugmire, Dave, Sammuli, Brian, Sawlani, Kapil, Scheinker, Alexander, Schissel, David P., Shalloo, Rob J., Shinagawa, Jun, Seong, Jaegu, Spears, Brian K., Tennyson, Jonathan, Thiagarajan, Jayaraman, Ticoş, Catalin M., Trieschmann, Jan, van Dijk, Jan, Van Essen, Brian, Ventzek, Peter, Wang, Haimin, Wang, Jason T. L., Wang, Zhehui, Wende, Kristian, Xu, Xueqiao, Yamada, Hiroshi, Yokoyama, Tatsuya, Zhang, Xinhua
Publikováno v:
IEEE Transactions on Plasma Science 51, 1750 - 1838 (2023)
Data science and technology offer transformative tools and methods to science. This review article highlights latest development and progress in the interdisciplinary field of data-driven plasma science (DDPS). A large amount of data and machine lear
Externí odkaz:
http://arxiv.org/abs/2205.15832
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 January 2025 433 Part A
