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20112025
most citedAccurate and efficient linear scaling DFT calculations with universal applicability

201 citations · 860 across the 19 of their papers we have counts for

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physics.chem-ph2025

A High Throughput Virtual Screening Approach for Identifying Thermally Activated Delayed Fluorescence-Based Emitters

Kritam Thapa, Jennifer I. Jones, Laura E. Ratcliff

Thermally activated delayed fluorescence (TADF) offers the promise of highly efficient organic light emitting diodes (OLEDs), without the heavy metals requirement of the previous g…

physics.chem-ph2023★ 2 cited

Exploratory Data Science on Supercomputers for Quantum Mechanical Calculations

William Dawson, Louis Beal, Laura E. Ratcliff +3

Literate programming - the bringing together of program code and natural language narratives - has become a ubiquitous approach in the realm of data science. This methodology is ap…

physics.chem-ph2023★ 4 cited

Complexity Reduction in Density Functional Theory: Locality in Space and Energy

William Dawson, Eisuke Kawashima, Laura E. Ratcliff +3

We present recent developments of the NTChem program for performing large scale hybrid Density Functional Theory calculations on the supercomputer Fugaku. We combine these developm…

physics.chem-ph2021

Transition-Based Constrained DFT for the Robust and Reliable Treatment of Excitations in Supramolecular Systems

Martina Stella, Kritam Thapa, Luigi Genovese +1

Despite the variety of available computational approaches, state-of-the-art methods for calculating excitation energies such as time-dependent density functional theory (TDDFT), ar…

physics.chem-ph2019★ 27 cited

Complexity Reduction in Density Functional Theory Calculations of Large Systems: System Partitioning and Fragment Embedding

William Dawson, Stephan Mohr, Laura E. Ratcliff +2

With the development of low order scaling methods for performing Kohn-Sham Density Functional Theory, it is now possible to perform fully quantum mechanical calculations of systems…

physics.chem-ph2017★ 2 cited

Complexity Reduction in Large Quantum Systems: Reliable Electrostatic Embedding for Multiscale Approaches via Optimized Minimal Basis Functions

Stephan Mohr, Michel Masella, Laura E. Ratcliff +1

Given a partition of a large system into an active quantum mechanical (QM) region and its environment, we present a simple way of embedding the QM region into an effective electros…