Automated Author ProfileAlonso, Pedro
Alonso, Pedro
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 4.2 (sum of 8 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Solid sorbets for CO2 capture applications are a technological pathway to prevent CO2 emissions from being released to the atmosphere and are therefore a key strategy to mitigate global warming. In this work, we aim to explore the reaction dynamics of high-temperature CO2 capture of the recently proposed high-capacity CO2 sorbent Li3BO3, which displays remarkably fast kinetics together with high CO2 capacity and excellent regenerability, which are also significantly enhanced by the addition of alkali fluorides. By performing in situ X-ray diffraction studies under different CO2 partial pressures and temperatures we aim to unveil the reaction mechanisms of L3BiO3 and Na- and K- modified Li3BO3 solid sorbents under relevant operational conditions and provide solid grounds for the design of performance-optimized Li3BiO3-based sorbents.
Authors
- Alonso, Pedro ;
- Blanco, Maria Valeria ;
- Cova, Federico ;
- Grasso, María Laura ;
- Orozco, Maria Jose
SiOx is one of the most promising materials to increase the capacity of anodes for next-generation Lithium-ion Batteries (LIBs), with theoretical storage capacities of up to 2400 mAhg-1. However, the stability and storage capacity of SiOx anodes depends on its oxygen content, and therefore the development of synthesis routes for the controlled synthesis of SiOx compounds with tailored oxygen content is imperative. MagnesioThermic reduction (MgTR) has been pinpointed as a scalable method to produce SiOx from Mg and SiO2 using much lower temperatures (500-950ºC) than conventional methods. However, synthesis temperature, reaction time and stoichiometry of the reactants strongly affect reaction pathways and prevents the controlled synthesis of SiOx compounds with adjusted oxygen content. Hence, in situ analysis of the MgTR via X-ray diffraction is critical to design an effective strategy for the synthesis of high-performance SiOx electrodes for LIBs.
Authors
- Alonso, Pedro ;
- Blanco, Maria Valeria ;
- Campo, Javier ;
- Gaarud, Anders ;
- Rodríguez Gómez, Miguel ;
- Øie, Ole Andreas
Lithium-ion batteries require components with higher energy density and longer cycle life. SiOx is a promising alternative for high capacity anode materials. However, it suffers from low conductivity and low initial Coulombic efficiency. Considering the high Coulombic of graphite material, some studies found that SiOx/graphite can effectively improve the electrochemical performance of the whole anode. However, SiOx would expand in lithium insertion process, leading to pulverization of the active material, resulting in rapid capacity fade. SiOx volume expansion in SiOx/graphite anodes can be controlled by adjusting the oxygen content on SiOx, and the effect of SiOx expansion can be successfully followed by investigating induced changes on the graphite structure. This is crucial to quantify the effect of stoichiometry of SiOx oxides on the stability of the anode from early stages and to design functional anodes that can preserve the mechanical properties after prolonged cycling.
Authors
- Alonso, Pedro ;
- Blanco, Maria Valeria ;
- Cova, Federico ;
- Hua, Weicheng ;
- Karlsen, Jon Tobias Aga ;
- Thangaian, Kesavan
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Cañellas, Santiago ;
- Alonso, Pedro ;
- Pericàs, Miquel À.
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Cañellas, Santiago ;
- Alonso, Pedro ;
- Pericàs, Miquel À.
No description available
Authors
- Aregawi, Maru ;
- Smith, Samuel J. ;
- Sillah-Kanu, Musa ;
- Seppeh, John ;
- Kamara, Anitta R. Y. ;
- Williams, Ryan O. ;
- Aponte, John J. ;
- Bosman, Andrea ;
- Alonso, Pedro
Additional file 3. Relative percent change in malaria indicators and Ebola alerts in the health facilities in MDA- (n = 34 PHUs) and non-MDA-chiefdoms (n = 14 PHUs) during post-MDA weeks using interrupted time-series regression. Upper values are relative percent changes and lower values in brackets are 95 % CI. Percentages in bold are significant changes with 95 % CI that excluded zero. Negative changes are decrease and positive changes are increase in trends post-MDA compared to trends of pre-MDA weeks.
Authors
- Maru Aregawi ;
- Smith, Samuel ;
- Sillah-Kanu, Musa ;
- Seppeh, John ;
- Kamara, Anitta ;
- Williams, Ryan ;
- Aponte, John ;
- Bosman, Andrea ;
- Alonso, Pedro
Additional file 3. Relative percent change in malaria indicators and Ebola alerts in the health facilities in MDA- (n = 34 PHUs) and non-MDA-chiefdoms (n = 14 PHUs) during post-MDA weeks using interrupted time-series regression. Upper values are relative percent changes and lower values in brackets are 95 % CI. Percentages in bold are significant changes with 95 % CI that excluded zero. Negative changes are decrease and positive changes are increase in trends post-MDA compared to trends of pre-MDA weeks.
Authors
- Maru Aregawi ;
- Smith, Samuel ;
- Sillah-Kanu, Musa ;
- Seppeh, John ;
- Kamara, Anitta ;
- Williams, Ryan ;
- Aponte, John ;
- Bosman, Andrea ;
- Alonso, Pedro