CUCIS Group

ALIGNNTL

CheMixNet

Mixed DNN Architectures for Predicting Properties using Multiple Molecular Representations

CrossPropertyTL

Cross-property Deep Transfer Learning

EBSD-indexing

Extracting Grain Orientations from EBSD Patterns of Polycrystalline Materials Using Convolutional Neural Networks.

ElemNet

Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction

IRNet

A General Purpose Deep Residual Regression Framework for Materials Discovery.

MDN-GAN

A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design

ml-iter-additive

An iterative machine learning framework for predicting temperature profiles for an additive manufacturing process

PADNet-XRD

Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns.

ph5concat

Parallel Data Concatenation for High Energy Physics Data Analysis

NU-CUCIS/CheMixNet

Mixed DNN Architectures for Predicting Properties using Multiple Molecular Representations

NU-CUCIS/microstructure-optimization-sampling

Data Sampling Schemes for Galfenol Microstructure Optimization

NU-CUCIS/OPVPredictor

Predictor for Highest Occupied Molecular Orbital (HOMO) Energy for Organic Photovoltaic Donor Molecules

NU-CUCIS/SINet

A Transfer Learning Framework for Organic Solar Cell Prediction using Multi Input Single Output Neural Networks

NU-CUCIS/InformalCaregiverTweets

Data preprocessing for informal caregiver tweets

NU-CUCIS/SIGRNN

SIGRNN: Synthetic Minority Instances Generation in Imbalanced Datasets Using a Recurrent Neural Network Approach