APRIL 3, 2024 Report Domain Aware Deep-learning Algorithms Integrated with Scientific-computing Technologies (DADAIST) ( Read More )
MARCH 22, 2024 Report Creating a Digital Twin for a Hydropower System through 3D Object Modeling: Alder Dam - FY2023 ( Read More )
AUGUST 13, 2023 Journal Article Elastic Resource Management for Deep Learning Applications in a Container Cluster ( 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 21, 2023 Report Digital Twin for Hydropower System Object Modeling: Alder Dam - FY2023 ( 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 )
JANUARY 13, 2023 Report Toward a Resilient Cybersecure Hydropower Fleet: Cybersecurity Landscape and Roadmap 2021 ( 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 )
DECEMBER 31, 2021 Journal Article Energy Material Network Data Hubs: Software Platforms for Advancing Energy Materials Research ( Read More )