Anders S. Christensen
Fate Therapeutics (United States)(US)
Publications by Year
Research Areas
Machine Learning in Materials Science, Protein Structure and Dynamics, Computational Drug Discovery Methods, Enzyme Structure and Function, Advanced Chemical Physics Studies
Most-Cited Works
- → Semiempirical Quantum Mechanical Methods for Noncovalent Interactions for Chemical and Biochemical Applications(2016)446 cited
- → FCHL revisited: Faster and more accurate quantum machine learning(2020)335 cited
- → Thermalized (350K) QM7b, GDB-13, water, and short alkane quantum chemistry dataset including MOB-ML features(2019)119 cited
- → #COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol(2022)90 cited
- → Informing geometric deep learning with electronic interactions to accelerate quantum chemistry(2022)85 cited
- → Juvenile eye growth, when completed? An evaluation based on IOL‐Master axial length data, cross‐sectional and longitudinal(2013)79 cited
- → A third-generation dispersion and third-generation hydrogen bonding corrected PM6 method: PM6-D3H+(2014)62 cited
- → Improving intermolecular interactions in DFTB3 using extended polarization from chemical-potential equalization(2015)57 cited
- → Charge and Exciton Transfer Simulations Using Machine-Learned Hamiltonians(2020)56 cited
- → DFTB3 Parametrization for Copper: The Importance of Orbital Angular Momentum Dependence of Hubbard Parameters(2015)46 cited