Machine learning-guided construction of MoS/MoO heterostructures on hollow carbon shells for polysulfide mitigation in lithium-sulfur batteries.

The commercialization of lithium‑sulfur (LiS) batteries faces fundamental issues from polysulfide shuttling to inefficient redox kinetics, compounded by the absence of systematic methods for catalyst design. Herein, we present a machine learning (ML)-driven strategy to design MoS/MoO heterostructures anchored on nitrogen-doped hollow carbon shells (NCS) via gradient boosting decision trees modeling. The ML-guided optimization identifies critical synthesis parameters (e.

Split-Standing Molecular Engineering for Textured Silicon/Perovskite Tandems.

To effectively minimize reflection losses and achieve compatibility with industrial-scale silicon production lines, textured silicon/perovskite tandem solar cells have garnered significant attention in recent research. However, achieving uniform and stable coverage of the textured silicon substrate with hole-selective layer (HSL) remains a significant challenge. Herein, a HSL material, DPAICz ((indolo[2,3-a]carbazole-11,12-diylbis(ethane-2,1-diyl))bis(phosphonic acid)), is reported specifically designed for textured silicon substrate.

Inductive effects in molecular contacts enable wide-bandgap perovskite cells for efficient perovskite/TOPCon tandems.

Organic molecules that serve as hole-selective contacts, known as self-assembled monolayers (SAMs), play a pivotal role in ensuring high-performance perovskite photovoltaics. Optimal energy alignment between the SAM and the perovskite is essential for desired photovoltaic performance. However, many SAMs are studied in optimal-bandgap perovskites, with limited energy level modification specifically catering to wide-bandgap perovskites.

Molecular contacts with an orthogonal π-skeleton induce amorphization to enhance perovskite solar cell performance.

Perovskite solar cells represent a promising class of photovoltaics that have achieved exceptional levels of performance within a short time. Such high efficiencies often depend on the use of molecule-based selective contacts that form highly ordered molecular assemblies. Although this high degree of ordering usually benefits charge-carrier transport, it is disrupted by structure deformation and phase transformation when subjected to external stresses, which limits the long-term operational stability of perovskite solar cells.

Unraveling the Degradation Mechanisms of Perovskite Solar Cells under Mechanical Tensile Loads.

The short longevity of perovskite solar cells (PSCs) is the major hurdle toward their commercialization. In recent years, mechanical stability has emerged as a pivotal aspect in enhancing the overall durability of PSCs, prompting a myriad of strategies devoted to this issue. However, the mechanical degradation mechanisms of PSCs remain largely unexplored, with corresponding studies mainly limited to perovskite single crystals, neglecting the complexity and nuances present in PSC devices based on polycrystalline perovskite thin films.

peri-Fused polyaromatic molecular contacts for perovskite solar cells.

Molecule-based selective contacts have become a crucial component to ensure high-efficiency inverted perovskite solar cells. These molecules always consist of a conjugated core with heteroatom substitution to render the desirable carrier-transport capability. So far, the design of successful conjugation cores has been limited to two N-substituted π-conjugated structures, carbazole and triphenylamine, with molecular optimization evolving around their derivatives.

Parallel processing model for low-dose computed tomography image denoising.

Low-dose computed tomography (LDCT) has gained increasing attention owing to its crucial role in reducing radiation exposure in patients. However, LDCT-reconstructed images often suffer from significant noise and artifacts, negatively impacting the radiologists' ability to accurately diagnose. To address this issue, many studies have focused on denoising LDCT images using deep learning (DL) methods.

Oriented nucleation in formamidinium perovskite for photovoltaics.

The black phase of formamidinium lead iodide (FAPbI) perovskite shows huge promise as an efficient photovoltaic, but it is not favoured energetically at room temperature, meaning that the undesirable yellow phases are always present alongside it during crystallization. This problem has made it difficult to formulate the fast crystallization process of perovskite and develop guidelines governing the formation of black-phase FAPbI (refs. ).

Regulating Cation Interactions for Zero-Strain and High-Voltage P2-type Na Li Co Mn O Layered Oxide Cathodes of Sodium-Ion Batteries.

Deep sodium extraction/insertion of sodium cathodes usually causes undesired Jahn-Teller distortion and phase transition, both of which will reduce structural stability and lead to poor long-cycle reliability. Here we report a zero-strain P2- Na Li Co Mn O cathode, in which the lithium/cobalt substitution contributes to reinforcing the host structure by reducing the Mn /Mn redox, mitigating the Jahn-Teller distortion, and minimizing the lattice change. 94.

A self-supervised guided knowledge distillation framework for unpaired low-dose CT image denoising.

Low-dose computed tomography (LDCT) can significantly reduce the damage of X-ray to the human body, but the reduction of CT dose will produce images with severe noise and artifacts, which will affect the diagnosis of doctors. Recently, deep learning has attracted more and more attention from researchers. However, most of the denoising networks applied to deep learning-based LDCT imaging are supervised methods, which require paired data for network training.

Localized Hydrophobicity in Aqueous Zinc Electrolytes Improves Zinc Metal Reversibility.

The rechargeability of aqueous zinc metal batteries is plagued by parasitic reactions of the zinc metal anode and detrimental morphologies such as dendritic or dead zinc. To improve the zinc metal reversibility, hereby we report a new solution structure of aqueous electrolyte with hydroxyl-ion scavengers and hydrophobicity localized in solvent clusters. We show that although hydrophobicity sounds counterintuitive for an aqueous system, hydrophilic pockets may be encapsulated inside a hydrophobic outer layer, and a hydrophobic anode-electrolyte interface can be generated through the addition of a cation-philic, strongly anion-phobic, and OH-reactive diluent.

Engineering Bimetallic NiFe-Based Hydroxides/Selenides Heterostructure Nanosheet Arrays for Highly-Efficient Oxygen Evolution Reaction.

Developing cost-effective and high-efficiency electrocatalysts toward alkaline oxygen evolution reaction (OER) is crucial for water splitting. Amorphous bimetallic NiFe-based (oxy)hydroxides have excellent OER activity under alkaline media, but their poorly electrical conductivity impedes the further improvement of their catalytic performance. Herein, a bimetallic NiFe-based heterostructure electrocatalyst that is composed of amorphous NiFe(OH) and crystalline pyrite (Ni, Fe)Se nanosheet arrays is designed and constructed.

Study on the Electrochemical Reaction Mechanism of ZnFe2O4 by In Situ Transmission Electron Microscopy.

A family of mixed transition-metal oxides (MTMOs) has great potential for applications as anodes for lithium ion batteries (LIBs). However, the reaction mechanism of MTMOs anodes during lithiation/delithiation is remain unclear. Here, the lithiation/delithiation processes of ZnFe2O4 nanoparticles are observed dynamically using in situ transmission electron microscopy (TEM).

In Situ Transmission Electron Microscopy Observation of the Lithiation-Delithiation Conversion Behavior of CuO/Graphene Anode.

The electrochemical conversion behavior of metal oxides as well as its influence on the lithium-storage performance remains unclear. In this paper, we studied the dynamic electrochemical conversion process of CuO/graphene as anode by in situ transmission electron microscopy. The microscopic conversion behavior of the electrode was further correlated with its macroscopic lithium-storage properties.

[Mental and behavioral abnormalities after arthroplasty and incomplete cerebral fat embolism].

Objective: To investigate the relationship between mild consciousness and mental disorders after arthroplasty and incomplete cerebral fat embolism.

Methods: A retrospective analysis of 12 patients with incomplete cerebral fat embolism after arthroplasty was performed from June 2004 to December 2011. There were 5 males and 7 females,ranging in age from 36 to 82 years old,averaged 56.