Saved in:
| Main Authors: | Rydzewski, Jakub, Gökdemir, Tuğçe |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2311.16411 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Spectral Maps for Learning Reduced Representations of Molecular Systems
by: Gökdemir, Tuğçe, et al.
Published: (2023)
by: Gökdemir, Tuğçe, et al.
Published: (2023)
A Note on Spectral Map
by: Gökdemir, Tuğçe, et al.
Published: (2024)
by: Gökdemir, Tuğçe, et al.
Published: (2024)
Machine Learning of Slow Collective Variables and Enhanced Sampling via Spatial Techniques
by: Gökdemir, Tuğçe, et al.
Published: (2024)
by: Gökdemir, Tuğçe, et al.
Published: (2024)
Spectral Map for Slow Collective Variables, Markovian Dynamics, and Transition State Ensembles
by: Rydzewski, Jakub
Published: (2024)
by: Rydzewski, Jakub
Published: (2024)
Spectral Map: Embedding Slow Kinetics in Collective Variables
by: Rydzewski, Jakub
Published: (2024)
by: Rydzewski, Jakub
Published: (2024)
Selecting High-Dimensional Representations of Physical Systems by Reweighted Diffusion Maps
by: Rydzewski, Jakub
Published: (2024)
by: Rydzewski, Jakub
Published: (2024)
NeuralTSNE: A Python Package for the Dimensionality Reduction of Molecular Dynamics Data Using Neural Networks
by: Tajs, Patryk, et al.
Published: (2025)
by: Tajs, Patryk, et al.
Published: (2025)
Illuminating Protein Dynamics: A Review of Computational Methods for Studying Photoactive Proteins
by: Czach, Sylwia, et al.
Published: (2025)
by: Czach, Sylwia, et al.
Published: (2025)
Decoding Binding Pathways of Ligands in Prolyl Oligopeptidase
by: Walczewska-Szewc, Katarzyna, et al.
Published: (2025)
by: Walczewska-Szewc, Katarzyna, et al.
Published: (2025)
Constructing Generalized Sample Transition Probabilities with Biased Simulations
by: Wang, Yanbin, et al.
Published: (2025)
by: Wang, Yanbin, et al.
Published: (2025)
Reweighted Manifold Learning of Collective Variables from Enhanced Sampling Simulations
by: Rydzewski, Jakub, et al.
Published: (2022)
by: Rydzewski, Jakub, et al.
Published: (2022)
Spectral signatures of the Markovian to Non-Markovian transition in open quantum systems
by: Li, Zeng-Zhao, et al.
Published: (2024)
by: Li, Zeng-Zhao, et al.
Published: (2024)
Simulating Non-Markovian Dynamics in Multidimensional Electronic Spectroscopy via Quantum Algorithm
by: Gallina, Federico, et al.
Published: (2024)
by: Gallina, Federico, et al.
Published: (2024)
Flexible Framework for Surface Hopping: From Hybrid Schemes for Machine Learning to Benchmarkable Nonadiabatic Dynamics
by: Martinka, Jakub, et al.
Published: (2025)
by: Martinka, Jakub, et al.
Published: (2025)
Quantum Simulation of Open Quantum Dynamics via Non-Markovian Quantum State Diffusion
by: Guo, Yukai, et al.
Published: (2024)
by: Guo, Yukai, et al.
Published: (2024)
Simulating Non-Markovian Quantum Dynamics on NISQ Computers Using the Hierarchical Equations of Motion
by: Dan, Xiaohan, et al.
Published: (2024)
by: Dan, Xiaohan, et al.
Published: (2024)
Compact and complete description of non-Markovian dynamics
by: Sayer, Thomas, et al.
Published: (2022)
by: Sayer, Thomas, et al.
Published: (2022)
The Phase-Coupled Caldeira-Leggett Model: Non-Markovian Open Quantum Dynamics beyond Linear Dissipation
by: Chang, Ao-Xiang, et al.
Published: (2025)
by: Chang, Ao-Xiang, et al.
Published: (2025)
Projection-Based Memory Kernel Coupling Theory for Quantum Dynamics: A Stable Framework for Non-Markovian Simulations
by: Liu, Wei, et al.
Published: (2026)
by: Liu, Wei, et al.
Published: (2026)
Enhancing Open Quantum Dynamics Simulations Using Neural Network-Based Non-Markovian Stochastic Schrödinger Equation Method
by: Lin, Kaihan, et al.
Published: (2024)
by: Lin, Kaihan, et al.
Published: (2024)
Nuclear Induction Lineshape: Non-Markovian Diffusion with Boundaries
by: Niknam, Moe, et al.
Published: (2023)
by: Niknam, Moe, et al.
Published: (2023)
Variational quantum algorithm for non-Markovian quantum dynamics
by: Walters, Peter L., et al.
Published: (2024)
by: Walters, Peter L., et al.
Published: (2024)
Exact decomposition of non-Markovian dynamics in open quantum systems
by: Ivanchenkoa, Mariia, et al.
Published: (2024)
by: Ivanchenkoa, Mariia, et al.
Published: (2024)
Limitations of the rate-distribution formalism in describing luminescence quenching in the presence of diffusion
by: Jędrak, Jakub, et al.
Published: (2024)
by: Jędrak, Jakub, et al.
Published: (2024)
Large Differences Between Stochastic and Deterministic Kinetics in a Simple Autocatalytic Reaction Network
by: Bednarek, Tomasz, et al.
Published: (2024)
by: Bednarek, Tomasz, et al.
Published: (2024)
iMapD: intrinsic Map Dynamics exploration for uncharted effective free energy landscapes
by: Chiavazzo, Eliodoro, et al.
Published: (2016)
by: Chiavazzo, Eliodoro, et al.
Published: (2016)
Accelerated Surface Hopping via Scaling the Spin--Orbit Coupling: Opportunities for Machine Learning
by: Martinka, Jakub, et al.
Published: (2026)
by: Martinka, Jakub, et al.
Published: (2026)
Towards Quantum Simulation of Non-Markovian Open Quantum Dynamics: A Universal and Compact Theory
by: Li, Xiang, et al.
Published: (2024)
by: Li, Xiang, et al.
Published: (2024)
Non-Markovianity increases transition path probability
by: Brünig, Florian N., et al.
Published: (2025)
by: Brünig, Florian N., et al.
Published: (2025)
Negative Electronic Friction and Non-Markovianity in Nonequilibrium Quantum Systems
by: Preston, Riley J., et al.
Published: (2026)
by: Preston, Riley J., et al.
Published: (2026)
Efficient Simulation of Non-Markovian Path Integrals via Imaginary Time Evolution of an Effective Hamiltonian
by: Yang, Xiaoyu, et al.
Published: (2026)
by: Yang, Xiaoyu, et al.
Published: (2026)
A Bond-Based Machine Learning Model for Molecular Polarizabilities and A Priori Raman Spectra
by: Sowa, Jakub K., et al.
Published: (2024)
by: Sowa, Jakub K., et al.
Published: (2024)
Thermophysical properties of argon gas from improved two-body interaction potential
by: Lang, Jakub, et al.
Published: (2023)
by: Lang, Jakub, et al.
Published: (2023)
Electron Spin Dynamics of the Intersystem Crossing in Aminoanthraquinone Derivatives: The Spectral Telltale of Short Triplet Excited States
by: Wang, Ruilei, et al.
Published: (2024)
by: Wang, Ruilei, et al.
Published: (2024)
Rapid state-recrossing kinetics in non-Markovian systems
by: Zhou, Qingyuan, et al.
Published: (2024)
by: Zhou, Qingyuan, et al.
Published: (2024)
Machine Learning for Polaritonic Chemistry: Accessing chemical kinetics
by: Schäfer, Christian, et al.
Published: (2023)
by: Schäfer, Christian, et al.
Published: (2023)
The Spin-MInt Algorithm: an Accurate and Symplectic Propagator for the Spin-Mapping Representation of Nonadiabatic Dynamics
by: Cook, Lauren E., et al.
Published: (2025)
by: Cook, Lauren E., et al.
Published: (2025)
Neural Network Solution of Non-Markovian Quantum State Diffusion and Operator Construction of Quantum Stochastic Process
by: Zhang, Jiaji, et al.
Published: (2025)
by: Zhang, Jiaji, et al.
Published: (2025)
Unraveling the Mechanism of Drug Binding to SARS-CoV-2 RNA Pseudoknot with Thermodynamics-Driven Machine Learning
by: Ivonina, Mariia, et al.
Published: (2026)
by: Ivonina, Mariia, et al.
Published: (2026)
General Framework for Quantifying Dissipation Pathways in Open Quantum Systems. II. Numerical Validation and the Role of Non-Markovianity
by: Kim, Chang Woo, et al.
Published: (2024)
by: Kim, Chang Woo, et al.
Published: (2024)
Similar Items
-
Spectral Maps for Learning Reduced Representations of Molecular Systems
by: Gökdemir, Tuğçe, et al.
Published: (2023) -
A Note on Spectral Map
by: Gökdemir, Tuğçe, et al.
Published: (2024) -
Machine Learning of Slow Collective Variables and Enhanced Sampling via Spatial Techniques
by: Gökdemir, Tuğçe, et al.
Published: (2024) -
Spectral Map for Slow Collective Variables, Markovian Dynamics, and Transition State Ensembles
by: Rydzewski, Jakub
Published: (2024) -
Spectral Map: Embedding Slow Kinetics in Collective Variables
by: Rydzewski, Jakub
Published: (2024)