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Tina Mihm
Tina Mihm
Postdoctoral Associate, Department of Electrical and Computer Engineering, Boston University
Verified email at bu.edu
Title
Cited by
Cited by
Year
A shortcut to the thermodynamic limit for quantum many-body calculations of metals
TN Mihm, T Schäfer, SK Ramadugu, L Weiler, A Grüneis, JJ Shepherd
Nature Computational Science 1 (12), 801-808, 2021
232021
An optimized twist angle to find the twist-averaged correlation energy applied to the uniform electron gas
TN Mihm, AR McIsaac, JJ Shepherd
The Journal of chemical physics 150 (19), 2019
232019
Power laws used to extrapolate the coupled cluster correlation energy to the thermodynamic limit
TN Mihm, B Yang, JJ Shepherd
Journal of Chemical Theory and Computation 17 (5), 2752-2758, 2021
92021
Machine learning for a finite size correction in periodic coupled cluster theory calculations
L Weiler, TN Mihm, JJ Shepherd
The Journal of chemical physics 156 (20), 2022
62022
Accelerating convergence to the thermodynamic limit with twist angle selection applied to methods beyond many-body perturbation theory
TN Mihm, WZ Van Benschoten, JJ Shepherd
The Journal of chemical physics 154 (2), 2021
62021
How the exchange energy can affect the power laws used to extrapolate the coupled cluster correlation energy to the thermodynamic limit
TN Mihm, L Weiler, JJ Shepherd
Journal of chemical theory and computation 19 (6), 1686-1697, 2023
52023
Effective Hamiltonians for the study of real metals using quantum chemical theories
TN Mihm, T Schäfer, SK Ramadugu, A Grüneis, JJ Shepherd
arXiv preprint arXiv:2103.06318, 2021
12021
Dataset for" A shortcut to the thermodynamic limit for quantum many-body calculations of metals"
TN Mihm, T Schäfer, SK Ramadugu, L Weiler, A Grüneis, JJ Shepherd
University of Iowa, 2021
12021
Dataset for: How the exchange energy can affect the power laws used to extrapolate the coupled cluster correlation energy to the thermodynamic limit
TN Mihm, L Weiler, JJ Shepherd
University of Iowa, 2023
2023
Dataset for" Machine learning for a finite size correction in periodic coupled cluster theory calculations"
L Weiler, TN Mihm, JJ Shepherd
University of Iowa, 2023
2023
Developing methods to accelerate convergence to the thermodynamic limit for periodic coupled cluster theory
TN Mihm
The University of Iowa, 2022
2022
Obtaining a faster convergence to the thermodynamic limit for metals using structure factor twist averaging
T Mihm, T Schäfer, SK Ramadugu, L Weiler, A Grueneis, J Shepherd
APS March Meeting Abstracts 2022, A48. 004, 2022
2022
Dataset for" Power laws used to extrapolate the coupled cluster correlation energy to the thermodynamic limit”
TN Mihm, B Yang, JJ Shepherd
University of Iowa, 2021
2021
Dataset for" Accelerating convergence to the thermodynamic limit with twist angle selection applied to methods beyond many-body perturbation theory”
TN Mihm, WZ Van Benschoten, JJ Shepherd
University of Iowa, 2021
2021
Applying Neural Networks and Gaussian Process Regression to the Transition Structure Factor
L Weiler, T Mihm, J Shepherd
APS March Meeting Abstracts 2021, J22. 012, 2021
2021
Applying connectivity twist averaging to quantum Monte Carlo and real solids
T Mihm, W Van Benschoten, S Ramadugu, A Grueneis, J Shepherd
APS March Meeting Abstracts 2021, Y21. 014, 2021
2021
Using Gaussian Process Regression to Integrate the Transition Structure Factor Curve for the Many-Body Correlation Energy
L Weiler, T Mihm, J Shepherd
Bulletin of the American Physical Society 65, 2020
2020
Numerical analysis of thermodynamic limit extrapolation power-laws in the uniform electron gas using connectivity-twist-averaged coupled cluster doubles theory
T Mihm, B Yang, L Weiler, A McIsaac, A Grueneis, S Ramadugu, ...
Bulletin of the American Physical Society 65, 2020
2020
Using the highly accurate N-determinant quantum Monte Carlo (HANDE-QMC) package for electronic structure calculations in a new research group
H Petras, T Mihm, J Shepherd
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 257, 2019
2019
Calculations of small molecules using the Highly Accurate N-DEterminant (HANDE) quantum Monte Carlo software package
H Petras, T Mihm, J Shepherd
APS March Meeting Abstracts 2019, L70. 365, 2019
2019
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