Utilizing modeling, experiments, and statistics for the analysis of water-splitting photoelectrodes

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Social media studies often collect data retrospectively to analyze public opinion. Social media data may decay over time and such decay may prevent the collection of the complete dataset. As a result, the collected dataset may differ from the complete data ...

Polymeric semiconductors have gained significant attention in the field of organic electronics due to their unique properties and potential applications. Through their ability to transport charge carriers and to absorb or emit light, they have attracted mu ...

Two-dimensional dopant layers (δ-layers) in semiconductors provide the high-mobility electron liquids (2DELs) needed for nanoscale quantum-electronic devices. Key parameters such as carrier densities, effective masses, and confinement thicknesses for 2DELs ...

In recent years, the automotive industry has aspired to bring self-driving vehicles to the general public and light detection and ranging (LiDAR) sensors have emerged as the preferred solution for car vision systems. At present, LiDAR technologies employ e ...

Tungsten oxide-based materials have unique and intriguing properties as photoanode materials for solar energy conversion. The first part of the thesis focuses on the use of WO3 photoanodes for the oxidation of 5-(hydroxymethyl)furfural (HMF). Chapter one l ...

The intrinsic low sensitivity of nuclear magnetic resonance (NMR) experiments limits their utility for structure determination of materials. Dynamic nuclear polarization (DNP) under magic angle spinning (MAS) has shown tremendous potential to overcome this ...

Security system designers favor worst-case security metrics, such as those derived from differential privacy (DP), due to the strong guarantees they provide. On the downside, these guarantees result in a high penalty on the system's performance. In this pa ...

This work presents a study of p-type passivating contacts based on SiCx formed via a rapid thermal processing (RTP) step, using conditions compatible with the firing used to sinter screen-printed metallization pastes in industry. The contributions of the t ...

We present an extended validation of semi-analytical, semi-empirical covariance matrices for the two-point correlation function (2PCF) on simulated catalogs representative of luminous red galaxies (LRGs) data collected during the initial 2 months of operat ...

Enhancing the surface charge density and reducing the output impedance via innovative techniques are essential to accelerate the commercialization of triboelectric nanogenerators (TENGs). However, methods for increasing output performance have numerous lim ...

Deep neural networks have become ubiquitous in today's technological landscape, finding their way in a vast array of applications. Deep supervised learning, which relies on large labeled datasets, has been particularly successful in areas such as image cla ...

Utilizing modeling, experiments, and statistics for the analysis of water-splitting photoelectrodes

Chattez avec Graph Search

The Impact of Data Persistence Bias on Social Media Studies

Drift-Diffusion Simulations of Charge Transport and Trap Dynamics in Organic Semiconductor Materials

Momentum-Space Imaging of Ultra-Thin Electron Liquids in δ-Doped Silicon

GeSn as next-generation material for short-wave infrared single-photon detection

Tungsten oxide-based photoanodes: biomass valorization and the effects of oxygen vacancies

Dynamic Nuclear Polarization of Inorganic Halide Perovskites

Bayes Security: A Not So Average Metric

Understanding and mitigating resistive losses in fired passivating contacts: role of the interfaces and optimization of the thermal budget

Validation of semi-analytical, semi-empirical covariance matrices for two-point correlation function for early DESI data

High-performance triboelectric nanogenerator via photon-generated carriers for green low-carbon system

Deep Learning Generalization with Limited and Noisy Labels