Stephan Irle
Orcid: 0000-0003-4995-4991
According to our database1,
Stephan Irle
authored at least 15 papers
between 2012 and 2024.
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Bibliography
2024
Enhancing molecular design efficiency: Uniting language models and generative networks with genetic algorithms.
Patterns, 2024
Scaling Ensembles of Data-Intensive Quantum Chemical Calculations for Millions of Molecules.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
2023
J. Cheminformatics, December, 2023
Artificial neural network potentials for mechanics and fracture dynamics of two-dimensional crystals <sup>**</sup>.
Mach. Learn. Sci. Technol., September, 2023
2022
Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models.
Proceedings of the Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, 2022
2020
Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19.
J. Chem. Inf. Model., 2020
2019
J. Comput. Chem., 2019
The helix-inversion mechanism in double-stranded helical oligomers bridged by rotary cyclic boronate esters.
J. Comput. Chem., 2019
2018
Comput. Phys. Commun., 2018
2017
Theoretical rationalization for reduced charge recombination in bulky carbazole-based sensitizers in solar cells.
J. Comput. Chem., 2017
2016
Three pillars for achieving quantum mechanical molecular dynamics simulations of huge systems: Divide-and-conquer, density-functional tight-binding, and massively parallel computation.
J. Comput. Chem., 2016
Glucose transformation to 5-hydroxymethylfurfural in acidic ionic liquid: A quantum mechanical study.
J. Comput. Chem., 2016
Implementation of replica-exchange umbrella sampling in the DFTB+ semiempirical quantum chemistry package.
Comput. Phys. Commun., 2016
2013
Stochastic structure determination for conformationally flexible heterogenous molecular clusters: Application to ionic liquids.
J. Comput. Chem., 2013
2012
Optimization of density functional tight-binding and classical reactive molecular dynamics for high-throughput simulations of carbon materials.
Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment, 2012