A city-scale roof shape classification using machine learning for solar energy applications

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This thesis uses femtosecond laser spectroscopy in studying strong correlation in condensed matters that are pertinent to future technology: a wide bandgap perovskite and a quantum material, with the employment of ultrafast time-resolved spectroscopy in th ...

Silicon heterojunction (SHJ)-solar modules-when encapsulated with ethylene vinyl acetate (EVA)-are known to be extremely sensitive to water ingress. The reason for this is, however, not clear. Here, we explain the root causes of this degradation mechanism ...

Utilization of small molecules as passivation materials for perovskite solar cells (PSCs) has gained significant attention recently, with hundreds of small molecules demonstrating passivation effects. In this study, a high-accuracy machine learning model i ...

Recombination at metal/semiconductor interfaces represents the main limitation in mainstream c-Si solar cells, primarily based on the passivated emitter and rear cell (PERC) concept. Full-area passivating contacts based on SiOx/poly-Si stacks are a candida ...

In the context of perovskite solar cells (PSCs), enhancing device performance often involves adding a small excess of lead iodide (PbI2) to the precursor solution. However, the presence of unreacted PbI2 can lead to accelerated degradation compromising lon ...

In recent years statistical physics has proven to be a valuable tool to probe into large dimensional inference problems such as the ones occurring in machine learning. Statistical physics provides analytical tools to study fundamental limitations in their ...

Perovskite-based solar cells are currently the most rapidly advancing photovoltaic technology but concerns about their long-term stability are still impeding full-scale commercialization. This thesis provides computational insights into some of the stabili ...

Photo-electrochemical (PEC) devices allow for converting solar energy into chemical energy and for the production of energetically dense solar fuels. Light absorption, charge separation and transport, electrochemical reactions, and ionic transport are requ ...

We report a simple and effective method for producing lanthanide ion-doped lithium-fluoride-based nanocrystals (YLiF4). We utilized those nanoparticles for up-conversion in fabricated perovskite solar cells. The obtained results shows that the up-conversio ...

A widely used component of high-efficiency perovskite solar cells (PSCs) is the molecular hole-transport material (HTM) spiro-OMeTAD. This organic solid needs to be p-doped to acquire sufficient hole conductivity. However, the conventional doping method us ...

A reversible photo-electrochemical device operating under concentrated irradiation could offer a stand-alone solution for producing solar fuel (in photo-driven electrolysis mode) and power (in fuel cell mode). This strategy would present the advantage of h ...

A city-scale roof shape classification using machine learning for solar energy applications

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Investigating Non-equilibrium Physics in Wide Bandgap Semiconductors and Quantum Materials via Ultrafast Spectroscopy

A comprehensive physical model for the sensitivity of silicon heterojunction photovoltaic modules to water ingress

Machine Learning for Screening Small Molecules as Passivation Materials for Enhanced Perovskite Solar Cells

Microstructural and electrical characterization of high temperature passivating contacts for silicon solar cells

Supramolecular interactions using β-cyclodextrin in controlling perovskite solar cell performance

Sparse representations, inference and learning

Computational Studies on the Stability of Organic-Inorganic Hybrid Halide Lead Perovskites

Modeling, design and economics of PEC devices

Enhanced performance of perovskite solar cell via up-conversion YLiF4:Yb, Er nanoparticles

Photo-doping of spiro-OMeTAD for highly stable and efficient perovskite solar cells

Reversible photo-electrochemical device for solar hydrogen and power generation