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Diptarka Hait

Researcher at University of California, Berkeley

Publications -  51
Citations -  1901

Diptarka Hait is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Density functional theory & Excited state. The author has an hindex of 18, co-authored 41 publications receiving 916 citations. Previous affiliations of Diptarka Hait include Massachusetts Institute of Technology & Lawrence Berkeley National Laboratory.

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Journal ArticleDOI

Software for the frontiers of quantum chemistry: An overview of developments in the Q-Chem 5 package

Evgeny Epifanovsky, +238 more
TL;DR: The Q-Chem quantum chemistry program package as discussed by the authors provides a suite of tools for modeling core-level spectroscopy, methods for describing metastable resonances, and methods for computing vibronic spectra, the nuclear-electronic orbital method, and several different energy decomposition analysis techniques.
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How Accurate Is Density Functional Theory at Predicting Dipole Moments? An Assessment Using a New Database of 200 Benchmark Values

TL;DR: This new database is used to assess the performance of 88 popular or recently developed density functionals and suggests that double hybrid functionals perform the best, yielding dipole moments within about 3.6-4.5% regularized RMS error versus the reference values.
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Excited State Orbital Optimization via Minimizing the Square of the Gradient: General Approach and Application to Singly and Doubly Excited States via Density Functional Theory.

TL;DR: The results suggest that orbital optimized excited state DFT methods can be used to push past the limitations of TDDFT to doubly excited, charge-transfer or Rydberg states, making them a useful tool for the practical quantum chemist's toolbox for studying excited states in large systems.
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Modern Approaches to Exact Diagonalization and Selected Configuration Interaction with the Adaptive Sampling CI Method

TL;DR: This work shows that a useful paradigm for generating efficient selected CI/exact diagonalization algorithms is driven by fast sorting algorithms, much in the same way iterative diagonalization is based on the paradigm of matrix vector multipli- cation.