activity
20232026
most citedGenerative Flows on Synthetic Pathway for Drug Design

4 citations · 6 across the 15 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

PXRD-Bench: How Close Are We to Determining Crystal Structures from Powder Diffraction?

Dongyeop Woo, Nofit Segal, Nayoung Kim +3

Determining crystal structures from powder X-ray diffraction (PXRD) would enable routine characterization of newly synthesized materials, including those absent from reference data…

cs.LG2026

Packora: Systematic Design for Generative Molecular Crystal Structure Prediction

Nayoung Kim, Kiyoung Seong, Sungsoo Ahn

Molecular crystal structure prediction (CSP) is important in pharmaceuticals, agrochemicals, and organic electronics, where subtle differences in molecular conformation and packing…

physics.comp-ph2026

MADField: Multi-fidelity Amortized Density Field for Adsorption in Nanoporous Materials

Yoonho Kim, Seongsu Kim, Sungsoo Ahn +1

High-throughput computational screening of nanoporous materials for gas storage and separation requires fast and accurate characterization of adsorption equilibrium. Particle-based…

cs.LG2026

Discovering Crystal Structure Prediction Algorithms with an AI Co-Scientist

Kiyoung Seong, Nayoung Kim, Sungsoo Ahn

We introduce Human-AI Co-discovery system (HACO) for scientific algorithm discovery through cross-domain search and sparse human steering. Starting from the goal of generating crys…

cond-mat.mtrl-sci2026

AtomMOF: All-Atom Flow Matching for MOF-Adsorbate Structure Prediction

Nayoung Kim, Honghui Kim, Sihyun Yu +3

Metal-organic frameworks (MOFs) are promising materials for applications such as direct air capture, where performance depends on how adsorbates bind within the framework. Accurate…

cond-mat.mtrl-sci2026

CatFlow: Co-generation of Slab-Adsorbate Systems via Flow Matching

Minkyu Kim, Nayoung Kim, Honghui Kim +1

Discovering heterogeneous catalysts tailored for specific reaction intermediates remains a fundamental bottleneck in materials science. While traditional trial-and-error methods an…