JANUARY 8, 2021 Journal Article Advancing Offshore Wind Resource Characterization Using Buoy-based Observations ( Read More )
JANUARY 8, 2021 Journal Article Validation of Reanalysis-Based Offshore Wind Resource Characterization Using Lidar Buoy Observations ( Read More )
NOVEMBER 16, 2020 Highlight Using AI to Detect Defects in Fusion Reactor Materials Researchers developed a new tool that combines artificial intelligence and microscopy data to rapidly test new materials for fusion reactor use. ( Read More )
OCTOBER 8, 2020 Journal Article O3BNN-R: An Out-Of-Order Architecture for High-Performance and Regularized BNN Inference ( Read More )
SEPTEMBER 28, 2020 Report DC Lighting and Building Microgrids: Opportunities and Recommendations Supported by the U.S. DOE, PNNL conducted research to characterize the current state of DC lighting and building microgrid market and technologies. ( Read More )
AUGUST 27, 2020 Journal Article Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks ( Read More )
AUGUST 25, 2020 Highlight Secretary of Energy Advisory Board (SEAB) Report Recognizes PNNL Contributions Contributions from researchers across Pacific Northwest National Laboratory (PNNL) were recently recognized in the preliminary findings of a Secretary of Energy Advisory Board (SEAB) report. ( Read More )
AUGUST 13, 2020 Journal Article Doing the impossible: Why neural networks can be trained at all ( Read More )
MAY 20, 2020 Journal Article Deep learning to generate in silico chemical property libraries and candidate molecules for small molecule identification in complex samples ( Read More )
MAY 12, 2020 Journal Article Improving Underwater Localization Accuracy with Machine Learning ( Read More )
MAY 7, 2020 Journal Article Enhancing Neutrino Event Reconstruction with Pixel-Based 3D Readout for Liquid Argon Time Projection Chambers ( Read More )
MAY 7, 2020 Journal Article Adaptive Activation Functions Accelerate Convergence in Deep and Physics-informed Neural Networks ( Read More )
MAY 7, 2020 Journal Article A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems ( Read More )
MAY 7, 2020 Journal Article Extraction of mechanical properties of materials through deep learning from instrumented indentation ( Read More )
MAY 1, 2020 Conference Paper How Do Visual Explanations Foster End Users' Appropriate Trust in Machine Learning? ( Read More )
MAY 1, 2020 Conference Paper Learning Koopman Operators for Systems with Isolated Critical Points ( Read More )
MAY 1, 2020 Journal Article Cyclotron Radiation Emission Spectroscopy Signal Classification with machine Learning in Project 8 ( Read More )
APRIL 23, 2020 Journal Article Path-Based Dictionary Augmentation: A Framework for Improving k-Sparse Image Processing ( Read More )
APRIL 8, 2020 Journal Article Comparison of four learning-based methods for predicting groundwater redox status ( Read More )
