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Updated: Oct 14, 2025

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
Published on: April 12, 2019
Inq, a Modern GPU-Accelerated Computational Framework for (Time-Dependent) Density Functional Theory
Xavier Andrade1, Chaitanya Das Pemmaraju2, Alexey Kartsev2
1Quantum Simulations Group, Lawrence Livermore National Laboratory, Livermore, California 94551, United States.
Abstract:
We present inq, a new implementation of density functional theory (DFT) and time-dependent DFT (TDDFT) written from scratch to work on graphic processing units (GPUs). Besides GPU support, inq makes use of modern code design features and takes advantage of newly available hardware. By designing the code around algorithms, rather than against specific implementations and numerical libraries, we aim to provide a concise and modular code. The result is a fairly complete DFT/TDDFT implementation in roughly 12 000 lines of open-source C++ code representing a modular platform for community-driven application development on emerging high-performance computing architectures.
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