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cs.LG2026
MatBind: A Shared Embedding Space for Multimodal Materials Characterization
Le Yang, Anoop K. Chandran, Jona Östreicher +8
Fully characterizing a crystalline material requires integrating heterogeneous data sources -- atomic structures, diffraction patterns, electronic density of states, and natural la…
cs.LG2023
A Generative Model for Accelerated Inverse Modelling Using a Novel Embedding for Continuous Variables
Sébastien Bompas, Stefan Sandfeld
In materials science, the challenge of rapid prototyping materials with desired properties often involves extensive experimentation to find suitable microstructures. Additionally,…