89 research outputs found
GraSPI: Extensible software for the graph-based quantification of morphology in organic electronics
Get PDFWe describe GraSPI - extensible graph-based software implemented as a C/C++ package. GraSPI computes a large set of descriptors relevant to organic electronics given a segmented 2D or 3D microstructure. The package represents a microstructure as an equivalent graph and harnesses algorithms from graph theory to compute those descriptors efficiently. It also includes a suite of tools for converting data between various formats and post-processing the raw results from the graph analysis. Herein, we provide illustrative examples of GraSPI’s capabilities in extracting microstructure descriptors and demonstrate the advantages that a graph-based approach affords via computational complexity analysis.This article is published asJivani, Devyani, Jaroslaw Zola, Baskar Ganapathysubramanian, and Olga Wodo. "GraSPI: Extensible software for the graph-based quantification of morphology in organic electronics." SoftwareX 17 (2022): 100969. DOI: 10.1016/j.softx.2021.100969. Copyright 2021 The Author(s).Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).
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Effects of oxygen enriched combustion on pollution and performance characteristics of a diesel engine
No full textOxygen enriched combustion is one of the attractive combustion technologies to control pollution and improve combustion in diesel engines. An experimental test was conducted on a single cylinder direct injection diesel engine to study the impact of oxygen enrichment on pollution and performance parameters by increasing the oxygen concentration of intake air from 21 to 27% by volume. The tests results show that the combustion process was improved as there is an increase in thermal efficiency of 4 to 8 percent and decrease in brake specific fuel consumption of 5 to 12 percent. There is also a substantial decrease in unburned hydro carbon, carbon mono-oxide and smoke density levels to the maximum of 40, 55 and 60 percent respectively. However, there is a considerable increase in nitrogen oxide emissions due to increased combustion temperature and extra oxygen available which needs to be addressed
Electrode material for lithium battery and lithium battery including thereof
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Highly Porous Graphitic Carbon using the waste paper, METHOD FOR THE SAME, NEGATIVE ELECTRODE INCLUDING THE SAME AND ENERGY STORAGE SYSTEM INCLUDING THE SAME
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Traffic management and control in intelligent vehicle highway systems
No full textTraffic congestion is a problem experienced daily by most of us. Among various traffic management schemes, efficient utilisation of the existing roadside infrastructure combined with in-vehicle technologies offers a promising solution to address traffic congestion and related problems. This approach has resulted in the development of Intelligent Vehicle Highway Systems (IVHSs). An IVHS basically consists of roadside infrastructures interacting with automated intelligent vehicles (IVs) that are organised in a closely spaced groups called platoons. With platooning, more vehicles can be accommodated on the highway, thus increasing the traffic flow. In the present situation, most of the existing traffic management and control centers use conventional roadside-based control measures to improve the traffic performance. The objective of the thesis is to provide a framework and a systematic approach for integrating traffic control and management methods into the IVHS. The focus of the thesis is on combining the control capabilities offered by automated platoons with those of the roadside infrastructure. We aim at developing traffic management and control methods to be implemented at various control levels, by incorporating intelligence from and within vehicles. Thus the roadside controllers use both IV-based and conventional traffic control measures for controlling and managing platoons, such that the performance of the traffic is improved.Delft Center for Systems and ControlMechanical, Maritime and Materials Engineerin
Algorithm 1025: PARyOpt: A software for Parallel Asynchronous Remote Bayesian Optimization
No full textPARyOpt is a Python based implementation of the Bayesian optimization routine designed for remote and asynchronous function evaluations. Bayesian optimization is especially attractive for computational optimization due to its low cost function footprint as well as the ability to account for uncertainties in data. A key challenge to efficiently deploy any optimization strategy on distributed computing systems is the synchronization step, where data from multiple function calls is assimilated to identify the next campaign of function calls. Bayesian optimization provides an elegant approach to overcome this issue via asynchronous updates. We formulate, develop and implement a parallel, asynchronous variant of Bayesian optimization. The framework is robust and resilient to external failures. We show how such asynchronous evaluations help reduce the total optimization wall clock time for a suite of test problems. Additionally, we show how the software design of the framework allows easy extension to response surface reconstruction (Kriging), providing a high performance software for autonomous exploration. The software is available on PyPI, with examples and documentation.This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Pokuri, Balaji Sesha Sarath, Alec Lofquist, Chad M. Risko, and Baskar Ganapathysubramanian. "Algorithm
1025: PARyOpt: A software for Parallel Asynchronous Remote Bayesian Optimization." ACM Transactions on Mathematical Software 48, no. 2 (2022): 24. DOI: 10.1145/3529517. 2022 Copyright held by the owner/author(s). Posted with permission
Low-Cost Rapid Template-Free Synthesis of Nanoscale Zinc Spinels for Energy Storage and Electrocatalytic Applications
No full textSpinels
form an interesting class of compounds, finding applications in metal-ion
batteries and as catalysts for metal–air batteries and fuel
cells. Here, we report a fast, template-free solution combustion method
to synthesize nanoscale zinc spinels for applications as cathodes
in low-cost aqueous zinc-ion batteries and oxygen reduction reaction
(ORR) catalysts. It leads to the formation of phase-pure spinels with
near spherical nanoscale morphology. Three spinelsZnCo2O4 (ZCO), ZnMn2O4 (ZMO),
and ZnMnCoO4 (ZMCO)were investigated. ZMO and,
for the first time, ZMCO were observed to show reversible Zn (de)insertion
involving Mn4+/Mn3+ redox couple with a first
discharge capacity of 109.4 mAh/g (i.e., >99% of theoretical capacity).
Further, these Zn-based spinels showed appreciable oxygen reduction
reaction (ORR) electrocatalytic activity. The ORR activity in alkaline
solution was characterized by cyclic voltammetry (CV) and linear sweep
voltammetry (LSV) using a rotating disk electrode (RDE) and was observed
to be comparable to Pt/C with similar chronoamperometric stability.
This enhanced ORR activity can be rooted to the optimal tuning of
Co3+–O bond strength because of the presence of
Mn3+. This work presents a robust synthesis route to prepare
ZnMnCoO4 spinel acting as an economic cathode material
for large-scale Zn-ion batteries for grid storage applications as
well as an efficient and stable alternate ORR catalyst in alkaline
solution
Layered Na<sub>2</sub>Mn<sub>3</sub>O<sub>7</sub> as a 3.1 V Insertion Material for Li-Ion Batteries
No full textExploring
Mn-based battery insertion materials, layered Na2Mn3O7 was synthesized via single pot solid-state method.
Rietveld analysis confirmed the formation of triclinic structured
Na2Mn3O7 with P-1
symmetry. With no further optimization, the as-synthesized Na2Mn3O7 was found to be an efficient host
for Li+ (de)intercalation. Na2Mn3O7 delivered a discharge capacity of ∼160 mA h
g–1 by altering the redox couple Mn(IV)/Mn(III)
with a nominal voltage of 3.12 V (vs Li/Li+). Interestingly,
the first discharge of pristine Na2Mn3O7 led to the formation of LixNa2Mn3O7 (2 x <
3) having completely different phase similar to the LiCoO2 structure. Lithiation triggered phase transformation from triclinic
(P-1) to trigonal (R-3m) structure. This electrochemically reformed structure imparts stability
to [Mn3O7]−2∞ building layers, preventing irreversible capacity loss. Underlying
a single-phase (solid-solution) redox mechanism, Na2Mn3O7 acts as a robust cathode material for Li-ion
batteries
Exploration of K-ion Intercalation in Iron-Based Mixed-Polyanion Material
No full textThe talk presented at 29th Annual General Meeting Of Materials Research Society Of India And National Symposium On Advances In Functional And Exotic Materials
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