Fenna-Matthews-Olson complex
Emerging6papers using it
2023first seen
The Fenna-Matthews-Olson complex is a dataset used to evaluate the performance of machine learning models, specifically in the context of modeling quantum dissipative dynamics.
Papers using Fenna-Matthews-Olson complex (6)
- Machine learning meets $\mathfrak{su}(n)$ Lie algebra: Enhancing quantum dynamics learning with exact trace conservationToward Quantum-Aware Machine Learning: Improved Prediction of Quantum Dissipative Dynamics via Complex Valued Neural NetworksFrom short-sighted to far-sighted: A comparative study of recursive
machine learning approaches for open quantum systemsMulti-timescale time encoding for CNN prediction of Fenna-Matthews-Olson energy-transfer dynamicsArtificial-intelligence-based surrogate solution of dissipative quantum dynamics: physics-informed reconstruction of the universal propagatorQD3SET-1: A Database with Quantum Dissipative Dynamics Data Sets