FEBRUARY 20, 2025 Report Algorithms and file structures to extend and enhance liquid chromatography and ion mobility mass spectrometry workflows (CRADA 465) Final Report ( Read More )
DECEMBER 10, 2024 Journal Article PeakQC: A Software Tool for Omics-Agnostic Automated Quality Control of Mass Spectrometry Data ( Read More )
APRIL 3, 2024 Report Domain Aware Deep-learning Algorithms Integrated with Scientific-computing Technologies (DADAIST) ( Read More )
MARCH 28, 2024 Journal Article In-field alpha spectrometry system for uranium enrichment verification of uranium hexafluoride ( Read More )
FEBRUARY 15, 2024 Conference Paper Physics-informed Deep Reinforcement Learning-based Adaptive Generator Out-of-step Protection for Power Systems ( Read More )
AUGUST 13, 2023 Journal Article Elastic Resource Management for Deep Learning Applications in a Container Cluster ( Read More )
JUNE 29, 2023 Report High Value Opportunities to Advance Automation in Electric Grid Control Rooms ( Read More )
JUNE 23, 2023 Conference Paper Hydropower Potential at Non-Powered Dams: A Multi-Criteria Decision Analysis Tool based on Grid, Community, Industry, and Environmental Impacts ( Read More )
JUNE 11, 2023 Journal Article Development and Performance Evaluation of a Novel y-y Coincidence Analysis Software ( Read More )
JUNE 6, 2023 Report VOLTTRON Modular Framework: Enabling flexible and scalable deployment solutions ( Read More )
APRIL 4, 2023 Conference Paper Flexible and Accessible 4D Subsurface Visualization Using a Web-Based Platform ( Read More )
FEBRUARY 18, 2023 Journal Article ambrosia: An R package for calculating and analyzing food demand that is responsive to changing incomes and prices ( Read More )
FEBRUARY 17, 2023 Conference Paper QuYBE - An Algebraic Compiler for Quantum Circuit Compression ( Read More )
JANUARY 31, 2023 Journal Article A Geospatial Risk Analysis Graphical User Interface for Identifying Hazardous Chemicals Emission Sources ( Read More )
JANUARY 31, 2023 Report Enhancing Risk Analysis of Accidental Release Using CFD Modeling and Machine Learning ( Read More )
OCTOBER 20, 2022 Report Compounding Risks from Natural Phenomena Hazards at U.S. Department of Energy Facilities ( Read More )
FEBRUARY 19, 2022 Conference Paper Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators ( Read More )
JANUARY 20, 2022 Report Software-defined Networking for Energy Delivery Systems (SDN4EDS): An Architectural Blueprint – Final Report ( Read More )