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Development of Urban Air Mobility (UAM) concepts has been primarily focused on electric vertical takeoff and landing aircraft (eVTOLs), small aircraft which can land and takeoff vertically, and which are powered by rechargeable (typically lithium-ion) batteries.
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Development of First Principles Capacity Fade Model for Li-Ion Cells
Ramadass, P., Haran, B., Gomadam, P. M., White, R. & Popov, B. N · 2004
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Battery data set
Saha, B. & Goebel, K · 2007
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Thermodynamic model development for lithium intercalation electrodes
Karthikeyan, D. K., Sikha, G. & White, R. E · 2008
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Convex optimization (Cambridge University Press, New York, 2009), seventh edn
Boyd, S. & Vandenberghe, L · 2009
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Aircraft Design: A Conceptual Approach. Edition 5 (American Institute of Aeronautics and Astronautics, 2012)
Raymer, D. P · 2012
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Modeling and simulation of lithium-ion batteries from a systems engineering perspective
Ramadesigan, V. et al · 2012
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Julia: A fast dynamic language for technical computing
Bezanson, J., Karpinski, S., Shah, V. B. & Edelman, A · 2012
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Genetic identification and fisher identifiability analysis of the doyle–fuller–newman model from experimental cycling of a LiFePO4 cell
Forman, J. C., Moura, S. J., Stein, J. L. & Fathy, H. K · 2012
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Theory of chemical kinetics and charge transfer based on nonequilibrium thermodynamics
Bazant, M. Z · 2013
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Electrochemistry-based battery modeling for prognostics
Daigle, M. J. & Kulkarni, C. S · 2013
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Adaptation of an electrochemistry-based li-ion battery model to account for deterioration observed under randomized use
Bole, B., Kulkarni, C. S. & Daigle, M · 2014
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A holistic aging model for Li(NiMnCo)O2 based 18650 lithium-ion batteries
Schmalstieg, J., Käbitz, S., Ecker, M. & Sauer, D. U · 2014
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Adam: A method for stochastic optimization
Kingma, D. P. & Ba, J. L · 2015
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Silicon valley as an early adopter for on-demand civil VTOL operations
Antcliff, K. R., Moore, M. D. & Goodrich, K. H · 2016
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Development of an empirical aging model for Li-ion batteries and application to assess the impact of Vehicle-to-Grid strategies on battery lifetime
Petit, M., Prada, E. & Sauvant-Moynot, V · 2016
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End-of-discharge and end-of-life prediction in lithium-ion batteries with electrochemistry-based aging models
Daigle, M. & Kulkarni, C. S · 2016
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Forward-mode automatic differentiation in Julia
Revels, J., Lubin, M. & Papamarkou, T · 2016
Cited alongside, same era.
A study in reducing the cost of vertical flight with electric propulsion
Duffy, M. J., Wakayama, S. R. & Hupp, R · 2017
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Evaluation of Current, Future, and Beyond Li-Ion Batteries for the Electrification of Light Commercial Vehicles: Challenges and Opportunities
Sripad, S. & Viswanathan, V · 2017
Cited alongside, same era.
Gaussian process regression for forecasting battery state of health
Richardson, R. R., Osborne, M. A. & Howey, D. A · 2017
Cited alongside, same era.
Differentialequations.jl–a performant and feature-rich ecosystem for solving differential equations in julia
Rackauckas, C. & Nie, Q · 2017
Cited alongside, same era.
Data-driven prediction of battery cycle life before capacity degradation
Severson, K. A. et al · 2019
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Tools for battery health diagnostics and prediction
Howey, D. A · 2019
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Bayesim: A tool for adaptive grid model fitting with bayesian inference
Kurchin, R., Romano, G. & Buonassisi, T · 2019
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Is a 63-Year-Old Seaplane With an Electric Engine the Future of Air Travel?
Arnot, M · 2020
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Watch a full test flight of Lilium’s all-electric urban aircraft
Etherington, D · 2020
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V/stol aircraft and propulsion concepts
Vertipedia · 2020
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Physically-based reduced-order capacity loss model for graphite anodes in li-ion battery cells
Jin, X. et al · 2017
Cited alongside, same era.
Modeling of lithium plating induced aging of lithium-ion batteries: Transition from linear to nonlinear aging
Yang, X.-G., Leng, Y., Zhang, G., Ge, S. & Wang, C.-Y · 2017
Cited alongside, same era.
Performance and cost of materials for lithium-based rechargeable automotive batteries
Schmuch, R., Wagner, R., Hörpel, G., Placke, T. & Winter, M · 2018
Cited alongside, same era.
A review of distributed electric propulsion concepts for air vehicle technology
Kim, H. D., Perry, A. T. & Ansell, P. J · 2018
Cited alongside, same era.
Performance metrics required of next-generation batteries to electrify vertical takeoff and landing (vtol) aircraft
Fredericks, W. L., Sripad, S., Bower, G. C. & Viswanathan, V · 2018
Cited alongside, same era.
Technological, economic and environmental prospects of all-electric aircraft
Schäfer, A. W. et al · 2018
Cited alongside, same era.
Neural ordinary differential equations
Chen, R. T., Rubanova, Y., Bettencourt, J. & Duvenaud, D. K · 2018
Cited alongside, same era.
NASA Embraces Urban Air Mobility, Calls for Market Study
Lillian Gipson, ed · 2020
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Electrified aircraft propulsion
Langford, J. S. & Hall, D. K · 2020
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A scalability study of the multirotor biplane tailsitter using conceptual sizing
Sridharan, A., Govindarajan, B. & Chopra, I · 2020
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Predicting the state of charge and health of batteries using data-driven machine learning
Ng, M.-F., Zhao, J., Yan, Q., Conduit, G. J. & Seh, Z. W · 2020
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Performance and cost assessment of machine learning interatomic potentials
Zuo, Y. et al · 2020
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Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations
Raissi, M., Yazdani, A. & Karniadakis, G. E · 2020
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Closed-loop optimization of fast-charging protocols for batteries with machine learning
Attia, P. M. et al · 2020
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Reinforcement learning-based fast charging control strategy for li-ion batteries
Park, S. et al · 2020
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Identification and machine learning prediction of knee-point and knee-onset in capacity degradation curves of lithium-ion cells
Fermín-Cueto, P. et al · 2020
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Universal differential equations for scientific machine learning
Rackauckas, C. et al · 2020
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