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2d_3d_microstructure

a-bio-marker-using-topological-machine-learning-of-rs-fmri

ai-enabled-ili-system-integration

Code for hardware-software integration for the In-Line Inspection Prototype

an-energy-based-model-under-multiaxial-biaxial-loading

bayesian-boundary-aware-convolutional-network

camel

CAMEL is a dimension reduction and data visualization model for arbitrary high dimensional data. CAMEL supports unsupervised learning, supervised learning, semi-supervised learning, metric learning, and inverse learning.

ec-pde

energy-based-time-derivative-damage-accumulation-model-under-uniaxial-and-multiaxial-random-loadings

fea-net

lpm-c

An implementation of a nonlocal lattice particle method (LPM) using an iterative solution procedure

mfea-net

multiaxial-high-cycle-fatigue-life-prediction-model

nasa_uli_infofusion

Information fusion for real-time national air transportation system prognostics under uncertainty.

neural-optimization-machine-nom

para-atm

Information fusion for real-time national air transportation system prognostics under uncertainty.

para-atm-collection

PARA-ATM Research Collection

pesbl_pde_learning

ppgnn

psi-pde

A robust method of learning PDEs from dynamical systems.

reliability-based-topology-optimization

The code is for two phase demonstration as example 1 shown in the paper - Gao, Yi, and Yongming Liu. "Reliability-based topology optimization with stochastic heterogeneous microstructure properties." Materials & Design 205 (2021): 109713. A unformatted paper draft can be found at https://www.researchgate.net/publication/350763409_Reliability-based_Topology_Optimization_with_Stochastic_Heterogeneous_Microstructure_Properties

semi-supervised-semantic-segmentation-activation-map-interpolation

simplicial-complex-enhanced-manifold-embedding-of-spatiotemporal-data-for-structure-health-monitorin

stfcg

Small time-scale fatigue crack growth (STFCG) package with GUI

strain-based-model