NU-CUCIS

ElemNet

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

ml-iter-additive

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

IRNet

A General Purpose Deep Residual Regression Framework for Materials Discovery.

CrossPropertyTL

Cross-property Deep Transfer Learning

MDN-GAN

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

PADNet-XRD

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

ALIGNNTL

EBSD-indexing

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

BRNet

MDGAN

Microstructural Materials Design Via Deep Adversarial Learning Methodology

ph5concat

Parallel Data Concatenation for High Energy Physics Data Analysis

OPV_extratrees

Machine Learning Framework for Estimating Efficiency of Organic Solar Cells using Extreme Random Forests

ColonCancerOutcomeCalculator

Colon Cancer Conditional Survival Outcome Calculator

FusionML

Heterogeneous feature fusion based machine learning on shallow-wide and heterogeneous-sparse scientific dataset

FuzzyXRDClustering

Enhancing Phase Mapping for High-throughput X-ray Diffraction Experiments using Fuzzy Clustering

IncrementalXRDClustering

An Incremental Phase Mapping Approach for X-ray Diffraction Patterns using Binary Peak Representations

MPpredictor

OPVPredictor

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

PlasticityDL

Learning to Predict Crystal Plasticity at the Nanoscale:Deep Residual Networks and Size Effects in UniaxialCompression Discrete Dislocation Simulations

Multi-resolution-Training

Using Multi-Resolution Data to Accelerate Training for CosmoFlow and DeepCAM

async-io-cosmoflow

Asynchronous I/O Support for CosmoFlow

B5Net

This repository contains the code for performing physics-based data augmentation and model training

DKACNN

A deep learning based domain knowledge integration for small dataset

edsr-tensorflow-rapids

HomogenizationDL

A Deep Learning Model For Homogenization of Two-Phase High-Contrast Three-dimensional Materials

LocalizationDL

A Deep Learning Model For Localization of Two-Phase High-Contrast Three-dimensional Materials

microstructure-optimization-ml

Microstructure optimization of constrained design objectives using machine learning based feedback aware data generation

pcnn

Parallel Convolutional Neural Network Framework

PreActivationRL

PrunedSearch

A machine learning based meta-heuristic approach for constrained continuous optimization