Zobrazeno 1 - 10
of 8 440
pro vyhledávání: '"A. McKinstry"'
Autor:
A. Müller, W. Deconinck, C. Kühnlein, G. Mengaldo, M. Lange, N. Wedi, P. Bauer, P. K. Smolarkiewicz, M. Diamantakis, S.-J. Lock, M. Hamrud, S. Saarinen, G. Mozdzynski, D. Thiemert, M. Glinton, P. Bénard, F. Voitus, C. Colavolpe, P. Marguinaud, Y. Zheng, J. Van Bever, D. Degrauwe, G. Smet, P. Termonia, K. P. Nielsen, B. H. Sass, J. W. Poulsen, P. Berg, C. Osuna, O. Fuhrer, V. Clement, M. Baldauf, M. Gillard, J. Szmelter, E. O'Brien, A. McKinstry, O. Robinson, P. Shukla, M. Lysaght, M. Kulczewski, M. Ciznicki, W. Piątek, S. Ciesielski, M. Błażewicz, K. Kurowski, M. Procyk, P. Spychala, B. Bosak, Z. P. Piotrowski, A. Wyszogrodzki, E. Raffin, C. Mazauric, D. Guibert, L. Douriez, X. Vigouroux, A. Gray, P. Messmer, A. J. Macfaden, N. New
Publikováno v:
Geoscientific Model Development, Vol 12, Pp 4425-4441 (2019)
In the simulation of complex multi-scale flows arising in weather and climate modelling, one of the biggest challenges is to satisfy strict service requirements in terms of time to solution and to satisfy budgetary constraints in terms of energy to s
Externí odkaz:
https://doaj.org/article/a9e137bd5e1d4ff1bdb4bf2f6c9818ec
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-2-W7, Pp 47-54 (2019)
Data augmentation is a well known technique that is frequently used in machine learning tasks to increase the number of training instances and hence decrease model over-fitting. In this paper we propose a data augmentation technique that can further
Externí odkaz:
https://doaj.org/article/c0cbf57b5a0849fbaa890ab32860112d
Autor:
Liu, Yu, Pratiush, Utkarsh, Bemis, Jason, Proksch, Roger, Emery, Reece, Rack, Philip D., Liu, Yu-Chen, Yang, Jan-Chi, Udovenko, Stanislav, Trolier-McKinstry, Susan, Kalinin, Sergei V.
The rapid development of computation power and machine learning algorithms has paved the way for automating scientific discovery with a scanning probe microscope (SPM). The key elements towards operationalization of automated SPM are the interface to
Externí odkaz:
http://arxiv.org/abs/2405.12300
The properties of dielectric and piezoelectric oxides are determined by their processing history, crystal structure, chemical composition, microstructure, dopants (or defect) distribution, and defect kinetics. These materials are essential in a diver
Externí odkaz:
http://arxiv.org/abs/2403.06359
Autor:
Baksa, Steven M., Gelin, Simon, Oturak, Seda, Spurling, Robert Jackson, Sepehrinezhad, Alireza, Jacques, Leonard, Trolier-McKinstry, Susan E., van Duin, Adri C. T., Maria, Jon-Paul, Rappe, Andrew M., Dabo, Ismaila
Ferroelectrics are of practical interest for non-volatile data storage due to their reorientable, crystallographically defined polarization. Yet efforts to integrate conventional ferroelectrics into ultrathin memories have been frustrated by film-thi
Externí odkaz:
http://arxiv.org/abs/2311.05413
Autor:
Liu, Yongtao, Ievlev, Anton, Casamento, Joseph, Hayden, John, Trolier-McKinstry, Susan, Maria, Jon-Paul, Kalinin, Sergei V., Kelley, Kyle P.
Polarization dynamics and domain structure evolution in ferroelectric Al$_{0.93}$B$_{0.07}$N are studied using piezoresponse force microscopy and spectroscopies in ambient and controlled atmosphere environments. The application of negative unipolar,
Externí odkaz:
http://arxiv.org/abs/2307.03617
Autor:
Zu, Rui, Ryu, Gyunghyun, Kelley, Kyle P., Baksa, Steven M., Jacques, Leonard C, Wang, Bo, Ferri, Kevin, He, Jingyang, Chen, Long-Qing, Dabo, Ismaila, Trolier-McKinstry, Susan, Maria, Jon-Paul, Gopalan, Venkatraman
Multifunctionality as a paradigm requires materials exhibiting multiple superior properties. Integrating second-order optical nonlinearity and large bandgap with piezoelectricity could, for example, enable broadband, strain-tunable photonics. Though
Externí odkaz:
http://arxiv.org/abs/2304.14532
Autor:
Yazawa, Keisuke, Hayden, John, Maria, Jon-Paul, Zhu, Wanlin, Trolier-McKinstry, Susan, Zakutayev, Andriy, Brennecka, Geoff L.
Ferroelectric polarization switching is one common example of a process that occurs via nucleation and growth, and understanding switching kinetics is crucial for applications such as ferroelectric memory. Here we describe and interpret anomalous swi
Externí odkaz:
http://arxiv.org/abs/2303.06103
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background The undersupply of health professionals in rural areas impacts healthcare access for those living in rural Australia. A strategy to increase the rural health workforce is to recruit and educate rural people. However, long-standing
Externí odkaz:
https://doaj.org/article/9016a89da946498e9fc1317e5db0eefa
Autor:
Bablani, Deepika, Mckinstry, Jeffrey L., Esser, Steven K., Appuswamy, Rathinakumar, Modha, Dharmendra S.
For efficient neural network inference, it is desirable to achieve state-of-the-art accuracy with the simplest networks requiring the least computation, memory, and power. Quantizing networks to lower precision is a powerful technique for simplifying
Externí odkaz:
http://arxiv.org/abs/2301.13330