255 citations
- National Institute of AerospaceUS15 papers
- Goddard Space Flight CenterUS10 papers
- National Aeronautics and Space AdministrationUS8 papers
- The Aerospace CorporationUS8 papers
- University of California San DiegoUS6 papers
- University of Maryland, College ParkUS6 papers
- California Institute of TechnologyUS5 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE5 papers
- Jet Propulsion LaboratoryUS5 papers
- Massachusetts Institute of TechnologyUS5 papers
- Royal Belgian Institute for Space AeronomyBE5 papers
- University of ArizonaUS5 papers
6 papers · 1 filter
Global warming in the pipeline
James E. Hansen, Makiko Sato, Leon Simons +14
Improved knowledge of glacial-to-interglacial global temperature change implies that fast-feedback equilibrium climate sensitivity (ECS) is 1.2 +/- 0.3°C (2) per W/m. Consis…
Scheduling for Urban Air Mobility using Safe Learning
Surya Murthy, Natasha A. Neogi, Suda Bharadwaj
This work considers the scheduling problem for Urban Air Mobility (UAM) vehicles travelling between origin-destination pairs with both hard and soft trip deadlines. Each route is d…
Coarse particulate matter air quality in East Asia: implications for fine particulate nitrate
Shixian Zhai, Daniel J. Jacob, Drew C. Pendergrass +19
Coarse particulate matter (PM) is a serious air pollution problem in East Asia. Analysis of air quality network observations in the North China Plain and the Seoul Metropolitan Are…
Active metasurfaces: lighting the path to commercial success
Tian Gu, Hyun Jung Kim, Clara Rivero-Baleine +1
Active optical metasurfaces are rapidly emerging as a major frontier in photonics research, development, and commercialization. They promise compact, light-weight, and energy-effic…
Neural Network Optimal Feedback Control with Guaranteed Local Stability
Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang
Recent research shows that supervised learning can be an effective tool for designing near-optimal feedback controllers for high-dimensional nonlinear dynamic systems. But the beha…
Automated Learning of Interpretable Models with Quantified Uncertainty
G. F. Bomarito, P. E. Leser, N. C. M Strauss +2
Interpretability and uncertainty quantification in machine learning can provide justification for decisions, promote scientific discovery and lead to a better understanding of mode…