On the public citation graph

Neural Network Based Reconstruction of the Spatiotemporal Evolution of Rotating Detonation Wave

https://doi.org/10.2139/ssrn.6168841
0 signed · 24 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00466-023-02434-4openalex-snapshot
Deep learning in computational mechanics: a review
inferredcites →https://doi.org/10.1007/s13042-025-02560-wopenalex-snapshot
Deep learning for time series forecasting: a survey
inferredcites →https://doi.org/10.1007/s44270-024-00003-5openalex-snapshot
Effects of the injection area ratios on the propagating characteristics of ethylene/air rotating detonation waves
inferredcites →https://doi.org/10.1016/0010-2180(92)90034-mopenalex-snapshot
Simplifying chemical kinetics: Intrinsic low-dimensional manifolds in composition space
inferredcites →https://doi.org/10.1016/j.ast.2025.110173openalex-snapshot
Prediction of subsonic cascade flow fields by physics-informed graph neural networks with unbalanced data
inferredcites →https://doi.org/10.1016/j.ast.2025.110329openalex-snapshot
CF-DeepONet: Deep operator neural networks for solving compressible flows
inferredcites →https://doi.org/10.1016/j.combustflame.2023.113050openalex-snapshot
Characterization of refill region and mixing state immediately ahead of a hydrogen-air rotating detonation using LES
inferredcites →https://doi.org/10.1016/j.combustflame.2024.113726openalex-snapshot
Effects of the inflow total temperature on the non-premixed rotating detonation engine performances
inferredcites →https://doi.org/10.1016/j.combustflame.2025.113981openalex-snapshot
Reduced-order modeling via convolutional autoencoder for emulating combustion of hydrogen/methane fuel blends
inferredcites →https://doi.org/10.1016/j.combustflame.2025.114105openalex-snapshot
Enforcing physical conservation in neural network surrogate models for complex chemical kinetics
inferredcites →https://doi.org/10.1016/j.jcp.2018.10.045openalex-snapshot
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
inferredcites →https://doi.org/10.1016/j.pecs.2004.05.001openalex-snapshot
Pulse detonation propulsion: challenges, current status, and future perspective
inferredcites →https://doi.org/10.1016/j.proci.2012.10.005openalex-snapshot
Detonative propulsion
inferredcites →https://doi.org/10.1016/j.proci.2024.105649openalex-snapshot
Physics-informed recurrent super-resolution generative reconstruction in rotating detonation combustor
inferredcites →https://doi.org/10.1021/jp055593kopenalex-snapshot
Low-Dimensional Manifolds in Reaction−Diffusion Equations. 2. Numerical Analysis and Method Development
inferredcites →https://doi.org/10.1038/s41467-024-45578-4openalex-snapshot
β-Variational autoencoders and transformers for reduced-order modelling of fluid flows
inferredcites →https://doi.org/10.1063/5.0089207openalex-snapshot
Investigation of counter-rotating shock wave and wave direction control of hollow rotating detonation engine with Laval nozzle
inferredcites →https://doi.org/10.1063/5.0285013openalex-snapshot
A matrix preconditioning framework for physics-informed neural networks based on the adjoint method
inferredcites →https://doi.org/10.1080/00102202.2017.1365847openalex-snapshot
Numerical Investigation on Flame Stabilization in DLR Hydrogen Supersonic Combustor with Strut Injection
inferredcites →https://doi.org/10.1146/annurev-fluid-120720-032612openalex-snapshot
Nonidealities in Rotating Detonation Engines
inferredcites →https://doi.org/10.2514/1.b34802openalex-snapshot
Rotating Detonation Wave Propulsion: Experimental Challenges, Modeling, and Engine Concepts
inferredcites →https://doi.org/10.2514/1.j059302openalex-snapshot
Flowfield Reconstruction and Shock Train Leading Edge Detection in Scramjet Isolators
inferredcites →https://doi.org/10.2514/2.1156openalex-snapshot
Review of Propulsion Applications of Detonation Waves
inferredcites →https://doi.org/10.2514/3.23399openalex-snapshot
Morphology of standing oblique detonation waves
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.