Results 31 to 40 of about 89,234 (277)
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
A polyelectrolyte complex‐based sorbent is produced by scalable, environmentally benign aqueous phase inversion. Its porous, LiCl‐ and GO‐integrated architecture enables hourly adsorption−desorption cycles at low relative humidity (RH < 30%). A large‐scale prototype achieves multicyclic, solar‐driven atmospheric water harvesting of 1.37 L kg−1 day−1 ...
Seung‐Hwan Oh +3 more
wiley +1 more source
Shaping of Biohybrid Functional Living Materials
This work demonstrates a strategy for shaping living mycelium into functional materials by directing its natural growth. Nanoparticles armor hyphae, micron‐scale particles entangle within the network, and printed hydrogel architectures steer expansion, creating defined geometries.
Sarah Schyck +3 more
wiley +1 more source
Implementing Retrieval-Augmented Generation for Academic Libraries
This article details the technical development of a Retrieval-Augmented Generation (RAG) system designed to enhance discovery within an academic library's institutional repository.
Wei Xuan
doaj +1 more source
Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation
Transformer-based models have demonstrated excellent capabilities of capturing patterns and structures in natural language generation and achieved state-of-the-art results in many tasks.
Giovanni Bonetta +3 more
doaj +1 more source
T${}^2$K${}^2$: The Twitter Top-K Keywords Benchmark
Information retrieval from textual data focuses on the construction of vocabularies that contain weighted term tuples. Such vocabularies can then be exploited by various text analysis algorithms to extract new knowledge, e.g., top-k keywords, top-k ...
A Guille +14 more
core +3 more sources
Ultrasmall Platinum Nanoparticles for Radiation‐Enhanced Cancer Therapy
This work proposes a nanomedicine‐based strategy to enhance X‐ray radiotherapy for cancer treatment. Ultrasmall Pt‐NPs exhibit catalase‐like activity that may contribute to modulation of the tumor microenvironment and amplify interactions between radiation and biological matter, leading to increased DNA damage.
Miguel Encinas‐Gimenez +8 more
wiley +1 more source
Data Imputation Based on Retrieval-Augmented Generation
Modern organizations collect increasing volumes of data to drive decision-making, often stored in centralized repositories such as data lakes, which consist of diverse structured and unstructured datasets.
Xiaojun Shi +4 more
doaj +1 more source
Learning Two-Branch Neural Networks for Image-Text Matching Tasks
Image-language matching tasks have recently attracted a lot of attention in the computer vision field. These tasks include image-sentence matching, i.e., given an image query, retrieving relevant sentences and vice versa, and region-phrase matching or ...
Huang, Jing +3 more
core +1 more source
Simvastatin mitigates placental hypoperfusion in OAPS by ameliorating abnormal uteromaternal hemodynamics and enhancing trophoblast invasion via optimized endothelial cell interactions under pathological shear stress, as evidenced by results from a placenta‐on‐a‐chip platform.
Hongli Liu +10 more
wiley +1 more source

