Developing a Real-Time Emulation/Simulation Capability for the Control Architecture to the RAMP FMS. - Wayne J. Davis; Joseph G. Macro; Andrew L. Brook; Michael S. Lee; Guoyan S. Zhou (WSC, 1996)

Absolute and Relative Energies From Polarized Atomic Orbital Self-consistent Field Calculations and a Second Order Correction.: Convergence with Size and Composition of the Secondary Basis. - Michael S. Lee; Martin Head-Gordon (Comput. Chem., 2000)

Q-Chem 2.0: a high-performance ab initio electronic structure program package. - Jing Kong; Christopher A. White; Anna I. Krylov; C. David Sherrill; Ross D. Adamson; Thomas R. Furlani; Michael S. Lee; Aaron M. Lee; Steven R. Gwaltney; Terry R. Adams; Christian Ochsenfeld; Andrew T. B. Gilbert; et al. (J. Comput. Chem., 2000)

Generalized born model with a simple smoothing function. - Wonpil Im; Michael S. Lee; Charles L. Brooks III (J. Comput. Chem., 2003)

New analytic approximation to the standard molecular volume definition and its application to generalized Born calculations. - Michael S. Lee; Michael Feig; Freddie R. Salsbury Jr.; Charles L. Brooks III (J. Comput. Chem., 2003)

New analytic approximation to the standard molecular volume definition and its application to generalized born calculations - Erratum. - Michael S. Lee; Michael Feig; Freddie R. Salsbury Jr.; Charles L. Brooks III (J. Comput. Chem., 2003)

Performance comparison of generalized born and Poisson methods in the calculation of electrostatic solvation energies for protein structures. - Michael Feig; Alexey Onufriev; Michael S. Lee; Wonpil Im; David A. Case; Charles L. Brooks III (J. Comput. Chem., 2004)

An efficient hybrid explicit/implicit solvent method for biomolecular simulations†. - Michael S. Lee; Freddie R. Salsbury Jr.; Mark A. Olson (J. Comput. Chem., 2004)

Molecular Dynamics Simulations of Folding and Insertion of the Ebola Vrus Fusion Peptide into a Membrane Bilayer. - Mark A. Olson; In-Chul Yeh; Michael S. Lee (BIOCOMP, 2008)

Conformational Sampling of Protein Loop Structures by Self-Guided Langevin Dynamics. - Michael S. Lee; Mark A. Olson (BIOCOMP, 2009)

Accelerating Biomedical Research in Designing Diagnostic Assays, Drugs, and Vaccines. - Anders Wallqvist; Nela Zavaljevski; Ravi Vijaya Satya; Rajkumar Bondugula; Valmik Desai; Xin Hu; Kamal Kumar 002; Michael S. Lee; In-Chul Yeh; Chenggang Yu; Jaques Reifman (Comput. Sci. Eng., 2010)

Comparison between self-guided langevin dynamics and molecular dynamics simulations for structure refinement of protein loop conformations. - Mark A. Olson; Sidhartha Chaudhury; Michael S. Lee (J. Comput. Chem., 2011)

Application of replica exchange umbrella sampling to protein structure refinement of nontemplate models. - Mark A. Olson; Michael S. Lee (J. Comput. Chem., 2013)

Membrane insertion of fusion peptides from Ebola and Marburg viruses studied by replica-exchange molecular dynamics simulations. - Mark A. Olson; Michael S. Lee; In-Chul Yeh (J. Comput. Chem., 2017)

Active Range and Bearing-based Radiation Source Localization. - Michael S. Lee; Daniel Shy; William Whittaker; Nathan Michael (IROS, 2018)

Self-Assessing and Communicating Manipulation Proficiency Through Active Uncertainty Characterization. - Michael S. Lee (HRI, 2019)

Requirements for Developing Robust Neural Networks. - John S. Hyatt; Michael S. Lee (CoRR, 2019)

Convolutional Neural Networks for Radio Frequency Ray Tracing. - Matthew R. Ziemann; John S. Hyatt; Michael S. Lee (MILCOM, 2021)

Machine Teaching for Human Inverse Reinforcement Learning. - Michael S. Lee; Henny Admoni; Reid G. Simmons (Frontiers Robotics AI, 2021)

Building the Foundation of Robot Explanation Generation Using Behavior Trees. - Zhao Han; Daniel Giger; Jordan Allspaw; Michael S. Lee; Henny Admoni; Holly A. Yanco (ACM Trans. Hum. Robot Interact., 2021)

Methylation-eQTL analysis in cancer research. - Yusha Liu; Keith A. Baggerly; Elias Orouji; Ganiraju Manyam; Huiqin Chen; Michael Lam; Jennifer S. Davis; Michael S. Lee; Bradley M. Broom; David G. Menter; Kunal Rai; Scott Kopetz; et al. (Bioinform., 2021)

Reasoning about Counterfactuals to Improve Human Inverse Reinforcement Learning. - Michael S. Lee; Henny Admoni; Reid G. Simmons (IROS, 2022)

Leveraging Contextual Counterfactuals Toward Belief Calibration. - Qiuyi Zhang 001; Michael S. Lee; Sherol Chen (CoRR, 2023)

Making AI Policies Transparent to Humans through Demonstrations. - Michael S. Lee (AAAI, 2024)

Closed-loop Teaching via Demonstrations to Improve Policy Transparency. - Michael S. Lee; Reid G. Simmons; Henny Admoni (CoRR, 2024)