Justin S. Smith
University of Virginia Health System(US)University of Virginia Hospital(US)Nvidia (United States)(US)University of Virginia Medical Center(US)Neurological Surgery(US)University of Virginia(US)
Publications by Year
Research Areas
Machine Learning in Materials Science, Scoliosis diagnosis and treatment, Spinal Fractures and Fixation Techniques, Spine and Intervertebral Disc Pathology, Computational Drug Discovery Methods
Most-Cited Works
- → ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost(2017)1,981 cited
- → Less is more: Sampling chemical space with active learning(2018)823 cited
- → Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning(2019)644 cited
- → Extending the Applicability of the ANI Deep Learning Molecular Potential to Sulfur and Halogens(2020)385 cited
- → The Aging of the Global Population(2015)364 cited
- → ANI-1, A data set of 20 million calculated off-equilibrium conformations for organic molecules(2017)327 cited