Results 91 to 100 of about 6,808,722 (274)

Application of noise-filtering techniques to data-driven analysis of electric power systems based on higher-order dynamic mode decomposition

open access: yesInternational Journal of Electrical Power & Energy Systems
A transition to renewable energy is increasing the long-distance export of power, with reduced spinning inertia and small stability margins. In this work, we apply higher-order variants of a data-driven technique, the dynamic mode decomposition (DMD ...
C.N.S. Jones, S.V. Utyuzhnikov
doaj   +1 more source

Spatially Regulated Silicon Clusters in Trimodal Composite Anodes for High‐Energy Lithium‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
A trimodal anode architecture spatially regulates silicon clusters within confined interstitial environments formed by graphite and contorted hexabenzocoronene. This confinement suppresses silicon aggregation and localized stress while enabling efficient Li‐ion transport, achieving high‐capacity, stable lithium‐ion batteries.
Jeongmi Joo   +11 more
wiley   +1 more source

Modeling the time evolution of the structure factor during polymeric spinodal decomposition using dynamic mode decomposition [PDF]

open access: yes
The development of the microstructure during polymeric spinodal decomposition can be monitored in real time using small-angle scattering. Information about the microstructure can be deduced from measurements of the structure factor—a quantity directly ...
Clarke, N., Jones, M.
core   +1 more source

Electrical‐Programming‐Free Neural Crossbars Enabled by Photochemical Weight Patterning

open access: yesAdvanced Functional Materials, EarlyView.
A flexible neural‐crossbar hardware system enabled by electrical‐programming‐free, mask‐defined, array‐parallel photochemical weight patterning is demonstrated. Trained weights are physically implemented across the array, supporting multilevel programming, bending‐stable operation and reconfiguration, substrate reuse, and low‐energy readout while ...
Hyo‐Bin Jang   +5 more
wiley   +1 more source

K-SMPC: Koopman Operator-Based Stochastic Model Predictive Control for Enhanced Lateral Control of Autonomous Vehicles

open access: yesIEEE Access
This paper proposes Koopman operator-based Stochastic Model Predictive Control (K-SMPC) for enhanced lateral control of autonomous vehicles. The Koopman operator is a linear map representing the nonlinear dynamics in an infinite-dimensional space.
Jin Sung Kim   +3 more
doaj   +1 more source

Deciphering the Photopolymerization‐Induced Nanostructures and Interface Formation for Submicrometer Additive Manufacturing

open access: yesAdvanced Functional Materials, EarlyView.
This work reveals the UV‐curing‐induced monomer‐rich domain, oligomer‐rich domain, and entangled oligomer domain. The cured submicron films in stressed state induce interlayer nano‐wrinkle structures during the deposition of the second layer. Stress‐free cured films in relaxed state form non‐diffusive, diffusive and semi‐diffusive interlayer ...
Shouzheng Chen   +13 more
wiley   +1 more source

Higher order dynamic mode decomposition

open access: yes, 2017
This paper deals with an extension of dynamic mode decomposition (DMD), which is appropriate to treat general periodic and quasi-periodic dynamics, and transients decaying to periodic and quasiperiodic attractors, including cases (not accessible to ...
Vega De Prada, Jose Manuel   +3 more
core   +1 more source

Genetically Programmed Shape‐Morphing of Engineered Living Materials

open access: yesAdvanced Functional Materials, EarlyView.
Here, bacterial and mammalian engineered living materials (ELMs) are presented, in which living cells direct genetically programmed and enzymatically mediated shape‐morphing. The resulting deformation and shape‐recovery can be actuated in a genetically controlled manner by an ELM incorporating out‐of‐equilibrium counteracting biochemical reactions with
Jan Becker   +7 more
wiley   +1 more source

Asymptotically stable data-driven koopman operator approximation with inputs using total extended DMD

open access: yesMachine Learning: Science and Technology
The Koopman operator framework can be used to identify a data-driven model of a nonlinear system. Unfortunately, when the data is corrupted by noise, the identified model can be biased.
Louis Lortie, James Richard Forbes
doaj   +1 more source

Nitride MXenes Beyond Carbides: Bridging the Gap Between Computational Prediction and Experimental Realization

open access: yesAdvanced Functional Materials, EarlyView.
Nitride MXenes remain constrained by a persistent gap between computational prediction and experimental realization. This Review identifies the thermodynamic, kinetic, and chemical barriers limiting their synthesis, critically evaluates emerging fabrication routes, and proposes a multidimensional computational‐experimental framework to accelerate the ...
Naresh Varnakavi, Masoud Soroush
wiley   +1 more source

Home - About - Disclaimer - Privacy