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Andrew Scott Rosen

2 accepted papers

2024

A Recipe for Charge Density Prediction

NeurIPS 2024poster

In density functional theory, charge density is the core attribute of atomic systems from which all chemical properties can be derived. Machine learning methods are promising in significantly accelerating charge density prediction, yet existing approaches either lack accuracy or scalability. We prop…

Cited by 2SourcePDFScholar
2024

MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design

ICLR 2024poster

Metal-organic frameworks (MOFs) are of immense interest in applications such as gas storage and carbon capture due to their exceptional porosity and tunable chemistry. Their modular nature has enabled the use of template-based methods to generate hypothetical MOFs by combining molecular building blo…

Cited by 20SourcePDFScholar