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04.11.2025: Deep Learning Capture Phases, Transfer Learning for Molecular Discovery, and Generative Structure Retrieval
This podcast is brought to you by the Oliver Laboratory at Vanderbilt University.
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0:00 Generative Modeling Enables Molecular Structure Retrieval from Coulomb Explosion Imaging (https://arxiv.org/pdf/2511.00179.pdf)
4:57 Transfer learning discovery of molecular modulators for perovskite solar cells (https://arxiv.org/pdf/2511.00204.pdf)
9:23 STELLAR-koff: A Transfer Learning Model for Protein-Ligand Dissociation Rate Constant Prediction Based on Interaction Landscape (https://arxiv.org/pdf/2511.01171.pdf)
13:58 Identification of Capture Phases in Nanopore Protein Sequencing Data Using a Deep Learning Model (https://arxiv.org/pdf/2511.01277.pdf)
18:22 Split-Flows: Measure Transport and Information Loss Across Molecular Resolutions (https://arxiv.org/pdf/2511.01464.pdf)
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Source code: https://github.com/OliverLaboratory/arxivreader
Contact: oliverlaboratory.com
Source code: https://github.com/OliverLaboratory/arxivreader
View all episodes
By This podcast is brought to you by the Oliver Laboratory at Vanderbilt University.
----------------------------------------
0:00 Generative Modeling Enables Molecular Structure Retrieval from Coulomb Explosion Imaging (https://arxiv.org/pdf/2511.00179.pdf)
4:57 Transfer learning discovery of molecular modulators for perovskite solar cells (https://arxiv.org/pdf/2511.00204.pdf)
9:23 STELLAR-koff: A Transfer Learning Model for Protein-Ligand Dissociation Rate Constant Prediction Based on Interaction Landscape (https://arxiv.org/pdf/2511.01171.pdf)
13:58 Identification of Capture Phases in Nanopore Protein Sequencing Data Using a Deep Learning Model (https://arxiv.org/pdf/2511.01277.pdf)
18:22 Split-Flows: Measure Transport and Information Loss Across Molecular Resolutions (https://arxiv.org/pdf/2511.01464.pdf)
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Source code: https://github.com/OliverLaboratory/arxivreader
Contact: oliverlaboratory.com
Source code: https://github.com/OliverLaboratory/arxivreader