Thomas D. Kühne

Orcid: 0000-0001-5471-2407

Affiliations:
  • University of Paderborn, Department of Chemistry, Germany


According to our database1, Thomas D. Kühne authored at least 20 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Breaking the exascale barrier for the electronic structure problem in <i>ab-initio</i> molecular dynamics.
Int. J. High Perform. Comput. Appl., September, 2023

A Two-Step Machine Learning Method for Predicting the Formation Energy of Ternary Compounds.
Comput., May, 2023

Computing and Compressing Electron Repulsion Integrals on FPGAs.
Proceedings of the 31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2023

2022
Towards electronic structure-based <i>ab-initio</i> molecular dynamics simulations with hundreds of millions of atoms.
Parallel Comput., 2022

CP2K on the road to exascale.
CoRR, 2022

2021
Enabling Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms.
CoRR, 2021

Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing.
Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2021

2020
Accurate Sampling with Noisy Forces from Approximate Computing.
Comput., 2020

A submatrix-based method for approximate matrix function evaluation in the quantum chemistry code CP2K.
Proceedings of the International Conference for High Performance Computing, 2020

Efficient Ab-Initio Molecular Dynamic Simulations by Offloading Fast Fourier Transformations to FPGAs.
Proceedings of the 30th International Conference on Field-Programmable Logic and Applications, 2020

2019
Impact of finite-temperature and condensed-phase effects on theoretical X-ray absorption spectra of transition metal complexes.
J. Comput. Chem., 2019

2018
Nuclear quantum effects induce metallization of dense solid molecular hydrogen.
J. Comput. Chem., 2018

Using Approximate Computing for the Calculation of Inverse Matrix <i>p</i>th Roots.
IEEE Embed. Syst. Lett., 2018

A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2018

2017
Efficient PAW-based bond strength analysis for understanding the In/Si(111)(8 × 2) - (4 × 1) phase transition.
J. Comput. Chem., 2017

A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices.
CoRR, 2017

Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots.
CoRR, 2017

2016
Assessing the accuracy of improved force-matched water models derived from <i>Ab initio</i> molecular dynamics simulations.
J. Comput. Chem., 2016

Patterns for Constructing Mutation Operators: Limiting the Search Space in a Software Engineering Application.
Proceedings of the Genetic Programming - 19th European Conference, 2016

2015
Efficient "On-the-Fly" calculation of Raman Spectra from <i>Ab-Initio</i> molecular dynamics: Application to hydrophobic/hydrophilic solutes in bulk water.
J. Comput. Chem., 2015


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