Uncertainty analysis of field trials of low-cost Bi-TiO_2 -P25 solar photocatalyst for sustainable water treatment

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Based on a sample of (2712 . 4 ± 14 . 3) × 10 6 ψ (3686) events collected with the BESIII detector, a partial wave analysis of the decay

\psi (3686)\to \Lambda {\overline{\Sigma}}^0{\pi}^0

+ c . c . is performed to investigate Λ * and Σ * resonances in ...

Artificial photosynthesis system to realize Solar overall water splitting has been regarded as sustainable and renewable solution for energy and environmental issues. While artificial photosynthesis system (efficiency of 12.4%) greatly exceeds efficiency o ...

In this thesis, we address a fundamental challenge in modern deep learning: uncertainty estimation. While deep neural networks have achieved remarkable success across diverse and impactful applications-from robotics to large language models and advanced in ...

Methylammonium lead iodide (MAPbI(3)) perovskite solar cells were made using an all-vapor process, including two-step close space vapor transport-processed MAPbI(3) absorber and evaporated copper phthalocyanine (CuPC) hole transport layer (HTL). N-i-p sola ...

This paper extends recent methods of native space embedding for adaptive control by deriving event-driven controllers that modify the basis used for approximation of the functional uncertainty. Using the power function for the native space, trigger conditi ...

Silicon solar cells are approaching their theoretical efficiency limit of 29%. This limitation can be exceeded with advanced device architectures, where two or more solar cells are stacked to improve the harvesting of solar energy. In this work, we devise ...

We propose a machine learning-based method to build a system of differential equations that approximates the dynamics of 3D electromechanical models for the human heart, accounting for the dependence on a set of parameters. Specifically, our method permits ...

Due to their exceptional photovoltaic properties, metal halide perovskites (MHPs) are extensively studied for their potential applications in solar cells. In recent years, the power conversion efficiencies of MHPs-based solar cells rapidly increased from t ...

A tracking-integrated hybrid micro-concentrator module is presented that can harvest direct, diffuse, and albedo irradiance components. It uses biconvex 180x lens arrays to concentrate direct light on high-efficiency III-V solar cells (29% module efficienc ...

Organic semiconductors (OSs) are emerging candidates as light-harvesting materials in photoelectrochemical (PEC) cells for direct solar-to-chemical conversion. Despite significant recent progress with OS-based photocathodes, the development of efficient an ...

Uncertainty analysis of field trials of low-cost Bi-TiO_2 -P25 solar photocatalyst for sustainable water treatment

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Partial wave analysis of $ \psi (3686)\to \Lambda {\overline{\Sigma}}^0{\pi}^0 $ + c.c

Single junction CsPbBr3 solar cell coupled with electrolyzer for solar water splitting

Uncertainty in Modern Deep Learning

The Role of Oxygen Exposure on the Performance of All-Vapor-Processed Perovskite Solar Cells With CuPC Hole Transport Layers

Newton Bases and Event-Triggered Adaptive Control in Native Spaces

Interface passivation for 31.25%-efficient perovskite/silicon tandem solar cells

A machine learning method for real-time numerical simulations of cardiac electromechanics

Ultralong Charge Carrier Recombination Time in Methylammonium Lead Halide Perovskites

Industrialization of hybrid Si/III-V and translucent planar micro-tracking modules

A hybrid bulk-heterojunction photoanode for direct solar-to-chemical conversion dagger