HfO-based ferroelectric synaptic devices: challenges and engineering solutions.

HfO-based ferroelectric memories have garnered significant attention for their potential to serve as artificial synaptic devices owing to their scalability and CMOS compatibility. This review examines the key material properties and challenges associated with HfO-based ferroelectric artificial synaptic devices as well as the recent advancements in engineering strategies to improve their synaptic performance. The fundamental physics and material properties of HfO-based ferroelectrics are reviewed to understand the theoretical origin of the aforementioned technical issues in ferroelectric HfO-based synaptic devices.

Tandem Catalysis for Plastic Depolymerization: In Situ Hydrogen Generation via Methanol APR for Sustainable PE Hydrogenolysis.

Depolymerizing plastic waste through hydrogen-based processes, such as hydrogenolysis and hydrocracking, presents a promising solution for converting plastics into liquid fuels. However, conventional hydrogen production methods rely heavily on fossil fuels, exacerbating global warming. This study introduces a novel approach to plastic waste hydrogenolysis that utilizes in situ hydrogen generated via the aqueous phase reforming (APR) of methanol, a biomass-derived chemical offering a more sustainable alternative.

Lipid-encapsulated gold nanoparticles: an advanced strategy for attenuating the inflammatory response in SARS-CoV-2 infection.

Background: Nanodrugs play a crucial role in biomedical applications by enhancing drug delivery. To address safety and toxicity concerns associated with nanoparticles, lipid-nanocarrier-based drug delivery systems have emerged as a promising approach for developing next-generation smart nanomedicines. Ginseng has traditionally been used for various therapeutic purposes, including antiviral activity.

Evaluation of a context-aware chatbot using retrieval-augmented generation for answering clinical questions on medication-related osteonecrosis of the jaw.

The potential of large language models (LLMs) in medical applications is significant, and Retrieval-augmented generation (RAG) can address the weaknesses of these models in terms of data transparency and scientific accuracy by incorporating current scientific knowledge into responses. In this study, RAG and GPT-4 by OpenAI were applied to develop GuideGPT, a context aware chatbot integrated with a knowledge database from 449 scientific publications designed to provide answers on the prevention, diagnosis, and treatment of medication-related osteonecrosis of the jaw (MRONJ). A comparison was made with a generic LLM ("PureGPT") across 30 MRONJ-related questions.

Atomic-level Ru-Ir mixing in rutile-type (RuIr)O for efficient and durable oxygen evolution catalysis.

The success of proton exchange membrane water electrolysis (PEMWE) depends on active and robust electrocatalysts to facilitate oxygen evolution reaction (OER). Heteroatom-doped-RuO has emerged as a promising electrocatalysts because heteroatoms suppress lattice oxygen participation in the OER, thereby preventing the destabilization of surface Ru and catalyst degradation. However, identifying suitable heteroatoms and achieving their atomic-scale coupling with Ru atoms are nontrivial tasks.