Proceedings of MATSUS Spring 2024 Conference (MATSUS24)
Publication date: 18th December 2023
Finding materials with specific properties is one of the main challenges in the field of material science. The vast material space makes random exploration prohibitively expensive and requires more efficient methods. The viable approach is to search for new materials within the proximity of known materials that possess the desired property but may contain undesirable elements or have low stability making them unsuitable for a specific application.
The search for similar materials is commonly based on the correlation between the material structure and a property of interest and is conducted using structural fingerprints. Recent studies demonstrate the benefits of using fingerprints that include electronic properties, such as density of states (DOS), for clustering and navigating the material space [1], [2]. However, these electronic structure fingerprints are obtained through computationally intensive density functional theory (DFT) calculations, and therefore, are not applicable to high-throughput exploration of novel materials.
Machine learning (ML) demonstrated its ability to accurately predict material properties in significantly less time compared to classical techniques. In this study, we developed a method to find similar materials based on ML-generated projected DOS fingerprints. We demonstrate that using an ML model for fingerprint generation allows us to find materials with similar properties despite their significant structural or compositional differences. The efficiency of the ML model enables scaling this approach to material spaces containing over 100,000 materials, with a low computational cost.
nanoGe is a prestigious brand of successful science conferences that are developed along the year in different areas of the world since 2009. Our worldwide conferences cover cutting-edge materials topics like perovskite solar cells, photovoltaics, optoelectronics, solar fuel conversion, surface science, catalysis and two-dimensional materials, among many others.
Previously nanoGe Spring Meeting (NSM) and nanoGe Fall Meeting (NFM), MATSUS is a multiple symposia conference focused on a broad set of topics of advanced materials preparation, their fundamental properties, and their applications, in fields such as renewable energy, photovoltaics, lighting, semiconductor quantum dots, 2-D materials synthesis, charge carriers dynamics, microscopy and spectroscopy semiconductors fundamentals, etc.
International Conference on Hybrid and Organic Photovoltaics
International Conference on Hybrid and Organic Photovoltaics (HOPV) is celebrated yearly in May. The main topics are the development, function and modeling of materials and devices for hybrid and organic solar cells. The field is now dominated by perovskite solar cells but also other hybrid technologies, as organic solar cells, quantum dot solar cells, and dye-sensitized solar cells and their integration into devices for photoelectrochemical solar fuel production.
Asia-Pacific International Conference on Perovskite, Organic Photovoltaics and Optoelectronics
The main topics of the Asia-Pacific International Conference on Perovskite, Organic Photovoltaics and Optoelectronics (IPEROP) are discussed every year in Asia-Pacific for gathering the recent advances in the fields of material preparation, modeling and fabrication of perovskite and hybrid and organic materials. Photovoltaic devices are analyzed from fundamental physics and materials properties to a broad set of applications. The conference also covers the developments of perovskite optoelectronics, including light-emitting diodes, lasers, optical devices, nanophotonics, nonlinear optical properties, colloidal nanostructures, photophysics and light-matter coupling.
The International Conference on Perovskite Thin Film Photovoltaics Perovskite Photonics and Optoelectronics (NIPHO) is the best place to hear the latest developments in perovskite solar cells as well as on recent advances in the fields of perovskite light-emitting diodes, lasers, optical devices, nanophotonics, nonlinear optical properties, colloidal nanostructures, photophysics and light-matter coupling.