Estudio oscilopolarográfico de dos derivados 5,4d pirimidínicos

Comentario al manuscrito de Francisco Fernández Navarrete, médico granadino del siglo XVIII, "Carácter de España deducido de los principios fundamentos y consideraciones de su Historia Natural" (1740), localizado en la Real Academia de la Historia de Madrid

Estudio oscilopolarográfico de dos derivados 5,4d pirimidínicos

Se ha estudiado la reducción electroquímica sobre el electrodo de gota de mercurio del 2,6-bis(morfolino)-4-[( Beta -hidroxi-etil)-metil-amino] -pirimido (5,4d)pirimidina(sustancia 1) y 2,4,6, -tris(morfolino )-pirimido(5 ,4d)pirimidina(sustancia I1). Los datos oscilopolarográficos ponen de manifiesto que el producto de la reacción catódica se abosrbe intensamente sobre la superficie del electrodo indicador.It has been studied electrochemical reduction of 2,6-bis(morpholino)-4-[( B-hydroxy-etil)-methylamino] -pyrimido(5,4d) pyrimidine (1) and 2,4,6-tris(morpholino)-pyrimido (5,4d) pyrimidine (I1)

Estudio polarográfico de los potenciales Redox de un derivado pteridínico

It is made the polarographic description of a pteridine derivative. The reduction consist in a process of three steps, with interchange of two electrons and protons in the first proGess of reduction.Se ha hecho la descripción polarográfica de un derivado pteridínico. La reducción consiste en un proceso de tres pasos con intercambio de dos electrones y dos protones en el primer paso de reducción

Descripción de la onda de reducción polarográfica de un derivado pirimidínico

It is effecte the polarographic description of a pyrimidine derivative. There is only one step of reduction with interchange of two electrons and two protons.Se ha efectuado la descripción polarográfica de un derivado pirimidínico. Se presenta un sólo paso de reducción con intercambio de dos electrones y dos protones

An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences

An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences

An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42, 400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences. © 2021, The Author(s)

An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

AbstractLarge datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences.</jats:p