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Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
American Chemical Society | 2019| -
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Free accessArXiv | 2018| -
Learning properties of ordered and disordered materials from multi-fidelity data
Springer Verlag | 2021| -
Learning Properties of Ordered and Disordered Materials from Multi-fidelity Data
Free accessArXiv | 2020| -
Elucidating Structure–Composition–Property Relationships of the β‑SiAlON:Eu2+ Phosphor
American Chemical Society | 2016| -
Harnessing the Materials Project for machine-learning and accelerated discovery
Online Contents | 2018| -
A Self-Improvable Polymer Discovery Framework Based on Conditional Generative Model
Free accessArXiv | 2023| -
Harnessing the Materials Project for machine-learning and accelerated discovery
British Library Online Contents | 2018|
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