John Gounley Computational Scientist Contact 865.341.0360 | GOUNLEYJP@ORNL.GOV All Publications Enhancing molecular design efficiency: Uniting language models and generative networks with genetic algorithms Path-BigBird: An AI-Driven Transformer Approach to Classification of Cancer Pathology Reports Transferring a Molecular Foundation Model for Polymer Property Predictions Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs Performance Evaluation of Heterogeneous GPU Programming Frameworks for Hemodynamic Simulations Enhancing Adaptive Physics Refinement Simulations Through the Addition of Realistic Red Blood Cell Counts TwoFold: Highly accurate structure and affinity prediction for protein-ligand complexes from sequences... FrESCO: Framework for Exploring Scalable Computational Oncology Characterizing Quantum Classifier Utility in Natural Language Processing Workflows Adaptive language model training for molecular design... Evaluation of pre-training large language models on leadership-class supercomputers Effect of constitutive law on the erythrocyte membrane response to large strains Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models Evaluation of intracoronary hemodynamics identifies perturbations in vorticity Language Models for the Prediction of SARS-CoV-2 Inhibitors High Performance Adaptive Physics Refinement to Enable Large-Scale Tracking of Cancer Cell Trajectory IMPLEMENTATION OF THE ENERGY EQUATION SOLVER TO THE LATTICE BOLTZMANN METHOD-BASED CODE PRATHAM Propagation Pattern for Moment Representation of the Lattice Boltzmann Method How Distinct Structural Flexibility within SARS-CoV-2 Spike Protein Reveals Potential Therapeutic Targets Automating Genetic Algorithm Mutations for Molecules Using a Masked Language Model A data-driven approach to modeling cancer cell mechanics during microcirculatory transport Non-invasive characterization of complex coronary lesions Limitations of Transformers on Clinical Text Classification Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports Multi-GPU Immersed Boundary Method Hemodynamics Simulations Pagination Current page 1 Page 2 Next page ›â¶Äº Last page Last » Key Links Curriculum Vitae Organizations Computing and Computational Sciences Directorate Computational Sciences and Engineering Division Advanced Computing in Health Sciences Section Scalable Biomedical Modeling Group
