Aaron D. Kaplan
Lawrence Berkeley National Laboratory(US)Division of Materials Science and Engineering(AU)
Publications by Year
Research Areas
Machine Learning in Materials Science, Advanced Chemical Physics Studies, Spectroscopy and Quantum Chemical Studies, Molecular Junctions and Nanostructures, Computational Drug Discovery Methods
Most-Cited Works
- → Accurate and Numerically Efficient r2SCAN Meta-Generalized Gradient Approximation(2020)1,098 cited
- → A foundation model for atomistic materials chemistry(2023)236 cited
- → Correction to “Accurate and Numerically Efficient r2SCAN Meta-Generalized Gradient Approximation”(2020)115 cited
- → Accelerated data-driven materials science with the Materials Project(2025)105 cited
- → Workhorse minimally empirical dispersion-corrected density functional with tests for weakly bound systems: r2SCAN+rVV10(2022)99 cited
- → Interpretations of ground-state symmetry breaking and strong correlation in wavefunction and density functional theories(2021)98 cited
- → Accurate and numerically efficient r$^2$SCAN meta-generalized gradient approximation(2020)87 cited
- → Testing the r2SCAN Density Functional for the Thermodynamic Stability of Solids with and without a van der Waals Correction(2022)72 cited
- → Construction of meta-GGA functionals through restoration of exact constraint adherence to regularized SCAN functionals(2021)48 cited