A data-efficient foundation model for porous materials based on expert-guided supervised learning

Nature·Feb 11

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1

Artificial intelligence-based modeling and validation for prediction of drug delivery capacity and cytotoxicity in design of porous materials

Frontiers·Apr 23

2

Impact of Dataset Size and Hyperparameters Tuning in a Variational Autoencoder for Structure–Property Mapping in Porous Metamaterials

Wiley Online Library·Apr 10

3

Toward a robust and generalizable metamaterial foundation model

Nature·Dec 29

4

AI-driven optimization of hydrogen storage in porous carbon adsorbents

Nature·Mar 26

5

Knowledge Extraction via Machine Learning Guides a Topology-Based Permeability Prediction Model

AGU Publications·Jul 12

6

Advanced stacked modeling techniques for material porosity estimation via high-resolution computed tomography imaging | Scientific Reports

Nature·Mar 4

7

AI-powered open-source infrastructure for accelerating materials discovery and advanced manufacturing

Nature·Feb 17

8

Benchmarking scientific machine-learning approaches for flow prediction around complex geometries

Nature·Oct 31