3.6k citations
- University of California San DiegoUS10 papers
- Marshall Space Flight CenterUS9 papers
- Goddard Space Flight CenterUS8 papers
- Los Alamos National LaboratoryUS8 papers
- Max Planck Institute for Extraterrestrial PhysicsDE8 papers
- Universities Space Research AssociationUS8 papers
- University of Alabama in HuntsvilleUS8 papers
- Johnson Space CenterUS7 papers
- University College DublinIE6 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di BariIT4 papers
- Johns Hopkins University Applied Physics LaboratoryUS4 papers
33 papers
In vivo feasibility study of humanoid robots in surgery
Zekai Liang, Nikita Thareja, Peihan Zhang +7
Recent advances in actuation, control and learning have rapidly pushed humanoid robots from a distant vision towards near-term real-world deployment. Healthcare is a particularly p…
Physical Analysis of Bennu Samples Reveals Regolith Production by Collisional Disruption on Near-Earth Asteroids
R. -L. Ballouz, A. J. Ryan, R. J. Macke +25
Owing to the extremely low gravity of small near-Earth asteroids (NEAs), it has been assumed that impact-generated rock fragments escape into space and thus do not contribute to th…
MIMOSA: Human-AI Co-Creation of Computational Spatial Audio Effects on Videos
Zheng Ning, Zheng Zhang, Jerrick Ban +4
Spatial audio offers more immersive video consumption experiences to viewers; however, creating and editing spatial audio often expensive and requires specialized equipment and ski…
Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network
Xin Tie, Muheon Shin, Changhee Lee +10
: Automatic quantification of longitudinal changes in PET scans for lymphoma patients has proven challenging, as residual disease in interim-therapy scans is ofte…
Adaptive spectral proper orthogonal decomposition of tonal flows
Brandon C. Y. Yeung, Oliver T. Schmidt
An adaptive algorithm for spectral proper orthogonal decomposition (SPOD) of mixed broadband-tonal turbulent flows is developed. Sharp peak resolution at tonal frequencies is achie…
Domain decomposition for data-driven reduced modeling of large-scale systems
Ionut-Gabriel Farcas, Rayomand P. Gundevia, Ramakanth Munipalli +1
This paper focuses on the construction of accurate and predictive data-driven reduced models of large-scale numerical simulations with complex dynamics and sparse training datasets…