Plant functional diversity is highly dynamic over time and fluctuates considerably. It is influenced by seasonal cycles and ...
Abstract: Linear-response time-dependent Density Functional Theory (LR-TDDFT) is a widely used method for accurately predicting the excited-state properties of physical systems. Previous works have ...
Otto Schott Institute of Materials Research, Friedrich Schiller University Jena, Löbdergraben 32, 07743 Jena, Germany Department of Chemical Engineering, Indian Institute of Science, Bengaluru, ...
Scientists use quantum many-body data and machine learning to boost density functional theory accuracy for chemistry and materials science. (Nanowerk News) A new trick for modeling molecules with ...
Abstract: Density functional theory (DFT) forms the foundation for computing the electronic structure of many-electron systems through the Kohn-Sham (KS) equations, with electron density $\mathbf ...
Density Functional Theory (DFT) is the most widely used electronic structure method for predicting the properties of molecules and materials. Although DFT is, in principle, an exact reformulation of ...
Scientific research is a continuous journey fueled by curiosity and collaboration, a conversation between scientists that often crosses continents and spans decades, with each new discovery inspired ...
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Multiconfiguration pair-density functional theory (MC-PDFT) is more robust than Kohn–Sham density functional theory (KS-DFT) because it uses a multiconfigurational reference wave function (WF). The ...
The formal scaling of the DFT computation can be reduced by choosing to use auxiliary Gaussian basis sets to fit the charge density (CD) and/or fit the exchange-correlation (XC) potential. The ...