OpenCGRA
Coarse-grained reconfigurable arrays (CGRAs), loosely defined as arrays of functional units (e.g., adder, subtractor, multiplier, divider, or larger multi-operation units, but smaller than a general-purpose core) interconnected through a Network-on-Chip, provide higher flexibility than domain-specific ASIC accelerators while offering increased hardware efficiency with respect to fine-grained reconfigurable devices, such as Field Programmable Gate Arrays (FPGAs). The fast evolving fields of machine learning and edge computing, which are seeing a continuous flow of novel algorithms and larger models, make CGRAs ideal target architectures to allow domain specialization without loosing too much generality. Designing and generating a CGRA, however, still requires to define the type and number of the specific functional units, implement their interconnect and the network topology, and perform its simulation and validation, given a variety of workloads of interest. This invention proposes OpenCGRA, the first open-source integrated framework able to support the full top-to-bottom design flow for specializing and implementing CGRAs: modeling at different abstraction levels (functional level, cycle level, register-transfer level) with compiler support, verification at different granularities (unit testing, integration testing, property-based testing), simulation, generation of synthesizable Verilog, and characterization (area, power, and timing).
SOCRATES
The Suite Of Comprehensive Rapid Analysis Tools for Environmental Sites online tools provide rapid data analytics and visualization of environmental data supporting remedy decisions, optimization, and exit strategies.
Nanomaterials for Sodium-Ion Batteries
We prepared single, crystalline, Na4Mn9O18 nanowires with a polymer-pyrolysis method using polyacrylates of Na and Mn as precursor compounds. The optimized Na4Mn9O18 materials display high crystallinity and a homogeneous nanowire structure, which provides a mechanically stable structure as well as a short diffusion path for Na-ion intercalation and extraction. The Na4Mn9O18 nanowires have shown a high reversible capacity (128 mA h g-1 at 0.1C), excellent cycleability (77% capacity retention for 1000 cycles at 0.5C), and promising rate capability for Na-ion battery applications. The outstanding performance of the Na4Mn9O18 nanowires makes them a promising candidate to construct a viable and low-cost Na-ion battery system for upcoming power and energy storage systems.
Akhila Sriram
Systems and Methods for Removing Components of a Gas Mixture
A system for removing components of a gaseous mixture is provided comprising: a reactor fluid containing vessel having conduits extending therefrom, aqueous fluid within the reactor, the fluid containing a ligand and a metal, and at least one reactive surface within the vessel coupled to a power source. A method for removing a component from a gaseous mixture is provided comprising exposing the gaseous mixture to a fluid containing a ligand and a reactive metal, the exposing chemically binding the component of the gaseous mixture to the ligand. A method of capturing a component of a gaseous mixture is provided comprising: exposing the gaseous mixture to a fluid containing a ligand and a reactive metal, the exposing chemically binding the component of the gaseous mixture to the ligand, altering the oxidation state of the metal, the altering unbinding the component from the ligand, and capturing the component.
Simulations of State for Biology
THe invention is the development of a simulation capability that allows the prediction of concentrations of chemical species, rates, and energy requirements of systems of coupled reactions that does not require the use of rate constants. The technology, often refered to as simulations of state or state simulations, is based on the concept of simulation states (outcomes of reactions) rather than reactions themselves. This approach has been widely used to model equilibrium states. We are adopting it to model non-equilibrium states. This technology is particularly attractive for the domain of biology because the determination of rate parameters for a simulation (rate constants) is incredibly difficult. Other approaches, specifically flux-based approaches, have limited predictive power and are actually more apporpriately described as high-end data analysis methods.
LCMSnet v. 3.0 (NIH iEdison 0685901-14-0002) - Open Source
LCMSnet communicates with, controls and orchestrates devices for high pressure liquid chromatography. In developing cutting edge chromatographic methods it was apparent that components from different manufacturers were required. Auto-samplers, valves, and pumps all had to be controlled and configured to run unattended and in the highest throughput possible. The power of LCMSnet is the ability so build methods in a simple step by step fashion and then the software uses a scheduling algorithm to run the devices as efficiently as possible without crashing critical functions. This latest iteration of the software allows for modeling of the valves and incorporates logic that will report if a fluid path is undesirable. LCMSnet has reduced method development time from days to minutes and allows the ability to check configurations before any valves or pumps are connected.
Deng Receives ASME Fellowship and Career Achievement Award
Zhiqun (Daniel) Deng, Lab Fellow at PNNL, has been named a fellow of the American Society of Mechanical Engineers, an honor that recognizes outstanding engineering achievements.