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05.01.2026: Uncertainty Quantification, Protein Energy Alignment, and Quantum Simulation in Molecular Modeling
This podcast is brought to you by the Oliver Laboratory at Vanderbilt University.
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0:00 Rule-Based Approaches to Atomic Sentence Extraction (https://arxiv.org/pdf/2601.00506.pdf)
3:44 Quantifying the uncertainty of molecular dynamics simulations : Good-Turing statistics revisited (https://arxiv.org/pdf/2601.00618.pdf)
8:23 Physio-DPO: Aligning Large Language Models with the Protein Energy Landscape to Eliminate Structural Hallucinations (https://arxiv.org/pdf/2601.00647.pdf)
13:03 Quantum Simulation of Protein Fragment Electronic Structure Using Moment-based Adaptive Variational Quantum Algorithms (https://arxiv.org/pdf/2601.00656.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 Rule-Based Approaches to Atomic Sentence Extraction (https://arxiv.org/pdf/2601.00506.pdf)
3:44 Quantifying the uncertainty of molecular dynamics simulations : Good-Turing statistics revisited (https://arxiv.org/pdf/2601.00618.pdf)
8:23 Physio-DPO: Aligning Large Language Models with the Protein Energy Landscape to Eliminate Structural Hallucinations (https://arxiv.org/pdf/2601.00647.pdf)
13:03 Quantum Simulation of Protein Fragment Electronic Structure Using Moment-based Adaptive Variational Quantum Algorithms (https://arxiv.org/pdf/2601.00656.pdf)
----------------------------------------
Source code: https://github.com/OliverLaboratory/arxivreader
Contact: oliverlaboratory.com
Source code: https://github.com/OliverLaboratory/arxivreader