Stable high-voltage aqueous pseudocapacitive energy storage device with slow self-discharge
Not provided.
catalysis (heterogeneous)↗
Engineering topics
Pinto, David
Publications and source records attributed to Pinto, David.
Energy Storage Data Reporting in Perspective—Guidelines for Interpreting the Performance of Electrochemical Energy Storage Systems
Due to the tremendous importance of electrochemical energy storage, numerous new materials and electrode architectures for batteries and supercapacitors have emerged in recent years. Correctly characterizing these systems requires considerable time, effort, and experience to ensure proper metrics are reported. Many new nanomaterials show electrochemical behavior somewhere in between conventional double-layer capacitor and battery electrode materials, making their characterization a non-straightforward task. It is understandable that some researchers may be misinformed about how to rigorously characterize their materials and devices, which can result in inflation of their reported data. Additionally, this is not uncommon considering the current state of the field nearly requires record breaking performance for publication in high-impact journals. Incorrect characterization and data reporting misleads both the materials and device development communities, and it is the shared responsibility of the community to follow rigorous reporting methodologies to ensure published results are reliable to ensure constructive progress. This tutorial aims to clarify the main causes of inaccurate data reporting and to give examples of how researchers should proceed. The best practices for measuring and reporting metrics such as capacitance, capacity, coulombic and energy efficiencies, electrochemical impedance, and the energy and power densities of capacitive and pseudocapacitive materials are discussed.
25 ENERGY STORAGE↗
Control of MXenes’ electronic properties through termination and intercalation
MXenes are an emerging family of highly-conductive 2D materials which have demonstrated state-of-the-art performance in electromagnetic interference shielding, chemical sensing, and energy storage. To further improve performance, there is a need to increase MXenes’ electronic conductivity. Tailoring the MXene surface chemistry could achieve this goal, as density functional theory predicts that surface terminations strongly influence MXenes' Fermi level density of states and thereby MXenes’ electronic conductivity. Here, we directly correlate MXene surface de-functionalization with increased electronic conductivity through in situ vacuum annealing, electrical biasing, and spectroscopic analysis within the transmission electron microscope. Furthermore, we show that intercalation can induce transitions between metallic and semiconductor-like transport (transitions from a positive to negative temperature-dependence of resistance) through inter-flake effects. These findings lay the groundwork for intercalation- and termination-engineered MXenes, which promise improved electronic conductivity and could lead to the realization of semiconducting, magnetic, and topologically insulating MXenes.
36 MATERIALS SCIENCE↗
Adaptive Analysis Engine v 1.0
This software provides an adaptable framework for performing comprehensive analyses of digital data streams. This software can be used to acquire and analyze raw digital data streams, as well as define, extract, and analyze data channels embedded in digital data streams.This software serves as a foundational framework for developing comprehensive software-based data acquisition, extraction, and analysis tools for ground-based, airborne, and space-based data stream sources. This software serves as a foundational framework for developing comprehensive software-based data acquisition, extraction, and analysis tools for data stream sources from ground-based, airborne, and space-based data stream sources âÃÂàprimarily radio-frequency (RF) data links. Potential applications include state-of-health data links from communication satellites, aircraft, and vehicles, as well as stationary data collection platforms such as well monitors and weather stations. The software was developed with an abstract and extensible architecture which allows it to be easily configured to support any of these diverse data analysis applications
Peters, Adam↗