High throughput computing for accelerated photovoltaic material discovery: From material database to the new generation of photovoltaic materials.
Sector: Solar • Location: Spain
Source: EU Funding & Tenders Portal
This proposal combines synergistically the predictive power of quantum mechanical calculations with a high throughput framework for the accelerated photovoltaic material discovery. The main objective of the project is the creation of a material database that contains no crystalline-complex materials, which can be potential candidate for the development of a new generation of photovoltaic material.
Project Information FAQ
Project Information
Want to explore the full details? View the full report
Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | This proposal combines synergistically the predictive power of quantum mechanical calculations with a high throughput framework for the accelerated photovoltaic material discovery. The main objective of the project is the creation of a material database that contains no crystalline-complex materials, which can be potential candidate for the development of a new generation of photovoltaic material. The robustness of the project is reinforced by the secondment of Onyx solar which will synthesis and characterize the most promising candidates to validate the methodology and optimize the process. The collaboration between ICCRAM researchers and facilities and the experience of the fellow in this multidisciplinary field guarantee the ideal conditions for the success of the research and the development of new methodologies, infrastructures and knowledge that are highly linked to the roadmap described in Horizon 2020 |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
