17 citations · 27 across the 3 of their papers we have counts for
3 papers
q-bio.QM2023★ 1 cited
Machine Learning for Uncovering Biological Insights in Spatial Transcriptomics Data
Alex J. Lee, Robert Cahill, Reza Abbasi-Asl
Development and homeostasis in multicellular systems both require exquisite control over spatial molecular pattern formation and maintenance. Advances in spatially-resolved and hig…
physics.chem-ph2022★ 17 cited
Accurate Hellmann-Feynman forces from density functional calculations with augmented Gaussian basis sets
Shivesh Pathak, Ignacio Ema López, Alex J. Lee +4
The Hellmann-Feynman (HF) theorem provides a way to compute forces directly from the electron density, enabling efficient force calculations for large systems through machine learn…
cond-mat.mtrl-sci2020★ 9 cited
Dopant levels in large nanocrystals using stochastic optimally tuned range-separated hybrid density functional theory
Alex J. Lee, Ming Chen, Wenfei Li +3
We apply a stochastic version of an optimally tuned range-separated hybrid functional to provide insight on the electronic properties of P- and B- doped Si nanocrystals of experime…