77 datasets found

A dataset of catalytic materials for training machine learning models.

A broad benchmark for applying machine learning models to solid-state materials.

The dataset is used for stress field prediction and uncertainty quantification for diverse materials microstructures.

The dataset C consisted of images taken above Paris. It was obtained by two instruments on board the Earth Observing-1 Mission (EO-1) satellite.

The dataset used in the paper is a collection of digital breast tomosynthesis (DBT) stacks with single micro-calcifications or masses inserted in the center of the stack.

The dataset used in the paper is a collection of scattering intensities and corresponding size distributions.

The dataset used in the paper is a collection of virtual sample materials with diverse size distributions.

A dataset of 10,790 predicted perovskites, along with their 5 most similar experimental materials, used to test the effectiveness of the VAE model.

A dataset of 2104 experimental materials, including their crystal structure information, used to train a Variational Autoencoder (VAE) model.

An experimental database of disordered quaternary compositions, including 1758 distinct perovskites and 227 non-perovskites, along with their crystal structure information.

The dataset used for machine learning accelerated discovery of porous organic cages.

The dataset used for machine learning accelerated discovery of metal-organic frameworks.

The dataset used for machine learning accelerated discovery of transition-metal complexes.

The material database E = {(ˆzI, ˆSI)}M I=1 ∈ E is defined to store the material data.

Physics-constrained data-driven computing is an emerging computational paradigm that allows simulation of complex materials directly based on material database and bypass the...

Steel cantilever beam dataset

The Aluminium Alloys dataset contains phase diagrams of aluminium alloys.

ESOL and FreeSolv datasets used for training and evaluating DG-GCN.

A reinterpretation of the U-Net architecture as a modularized structure was proposed as a solution to scale up the segmentation of such images.

The Open Catalyst 2020 (OC20) dataset is a large-scale dataset for simulating catalyst materials.