Zobrazeno 1 - 10
of 186
pro vyhledávání: '"RAVAIOLI, UMBERTO"'
Autor:
Mandal, Udayan, Amir, Guy, Wu, Haoze, Daukantas, Ieva, Newell, Fletcher Lee, Ravaioli, Umberto, Meng, Baoluo, Durling, Michael, Hobbs, Kerianne, Ganai, Milan, Shim, Tobey, Katz, Guy, Barrett, Clark
In recent years, deep reinforcement learning (DRL) approaches have generated highly successful controllers for a myriad of complex domains. However, the opaque nature of these models limits their applicability in aerospace systems and safety-critical
Externí odkaz:
http://arxiv.org/abs/2407.07088
Autor:
Mandal, Udayan, Amir, Guy, Wu, Haoze, Daukantas, Ieva, Newell, Fletcher Lee, Ravaioli, Umberto J., Meng, Baoluo, Durling, Michael, Ganai, Milan, Shim, Tobey, Katz, Guy, Barrett, Clark
Deep reinforcement learning (DRL) is a powerful machine learning paradigm for generating agents that control autonomous systems. However, the ``black box'' nature of DRL agents limits their deployment in real-world safety-critical applications. A pro
Externí odkaz:
http://arxiv.org/abs/2405.14058
With the rise of increasingly complex autonomous systems powered by black box AI models, there is a growing need for Run Time Assurance (RTA) systems that provide online safety filtering to untrusted primary controller output. Currently, research in
Externí odkaz:
http://arxiv.org/abs/2209.01120
Autor:
Abueidda, Diab W., Almasri, Mohammad, Ammourah, Rami, Ravaioli, Umberto, Jasiuk, Iwona M., Sobh, Nahil A.
Publikováno v:
Composite Structures 2019
In this paper, we develop a convolutional neural network model to predict the mechanical properties of a two-dimensional checkerboard composite quantitatively. The checkerboard composite possesses two phases, one phase is soft and ductile while the o
Externí odkaz:
http://arxiv.org/abs/1906.00094
In this work we propose a channel backscattering model in which increased carrier temperature at the top of the potential energy barrier in the channel is taken into account. This model represents an extension of a previous model by the same authors
Externí odkaz:
http://arxiv.org/abs/1104.3144
We present a novel approach for computing the surface roughness-limited thermal conductivity of silicon nanowires with diameter D < 100 nm. A frequency-dependent phonon scattering rate is computed from perturbation theory and related to a description
Externí odkaz:
http://arxiv.org/abs/0902.4735
Publikováno v:
Phys. Rev. B vol. 73 (3), 035415 (2006)
Angular perturbations modify the band structure of armchair (and other metallic) carbon nanotubes by breaking the tube symmetry and may induce a metal-semiconductor transition when certain selection rules are satisfied. The symmetry requirements appl
Externí odkaz:
http://arxiv.org/abs/cond-mat/0511414
Publikováno v:
Appl. Phys. Lett., 85, 4178 (2004)
The electronic band structure of armchair carbon nanotubes may be considerably modified by potentials with angular dependence. Different angular modes V_q ~ cos(q*theta) have been studied within a tight-binding scheme. Using symmetry arguments, we de
Externí odkaz:
http://arxiv.org/abs/cond-mat/0409464
The electronic properties of carbon nanotubes in a uniform transverse field are investigated within a single orbital tight-binding model. For doped nanotubes, the dielectric function is found to depend not only on symmetry of the tube, but also on ra
Externí odkaz:
http://arxiv.org/abs/cond-mat/0212468
Autor:
Wang, Hai-Long, Toghraee, Reza, Papke, David, Cheng, Xiao-Lin, McCammon, J. Andrew, Ravaioli, Umberto, Sine, Steven M.
Publikováno v:
In Biophysical Journal 2009 96(9):3582-3590
