Results 51 to 60 of about 22,716 (251)

Computational Simulations of Metal–Organic Frameworks to Enhance Adsorption Applications

Advanced Materials, EarlyView.
This review highlights the significance of molecular simulations in expanding the understanding of metal–organic frameworks (MOFs) and improving their gas adsorption applications. The historical development and implementation of molecular simulations in the MOF field are given, high‐throughput computational screening studies used to unlock the ...
Hilal Daglar, Hasan Can Gulbalkan, Gokhan Onder Aksu, Seda Keskin   +3 more
wiley   +1 more source

Cross-linking BioThings APIs through JSON-LD to facilitate knowledge exploration

BMC Bioinformatics, 2018
Background Application Programming Interfaces (APIs) are now widely used to distribute biological data. And many popular biological APIs developed by many different research teams have adopted Javascript Object Notation (JSON) as their primary data ...
Jiwen Xin, Cyrus Afrasiabi, Sebastien Lelong, Julee Adesara, Ginger Tsueng, Andrew I. Su, Chunlei Wu   +6 more
doaj   +1 more source

Auto-CORPus: A Natural Language Processing Tool for Standardizing and Reusing Biomedical Literature

Frontiers in Digital Health, 2022
To analyse large corpora using machine learning and other Natural Language Processing (NLP) algorithms, the corpora need to be standardized. The BioC format is a community-driven simple data structure for sharing text and annotations, however there is ...
Tim Beck, Tim Beck, Tom Shorter, Yan Hu, Yan Hu, Zhuoyu Li, Shujian Sun, Casiana M. Popovici, Casiana M. Popovici, Nicholas A. R. McQuibban, Nicholas A. R. McQuibban, Filip Makraduli, Cheng S. Yeung, Thomas Rowlands, Joram M. Posma, Joram M. Posma   +15 more
doaj   +1 more source

Temporal JSON Keyword Search

Proc. ACM Manag. Data
JSON keyword search searches the current versions of documents in a collection. However, JSON documents change over time due to edits. Some applications, such as data forensics and auditing, need to search past versions of documents and for changes to ...
Curtis E. Dyreson, Amani M. Shatnawi, S. Bhowmick, Vishal Sharma   +3 more
semanticscholar   +1 more source

Auto‐Routing Fluidic Printed Circuit Boards

Advanced Robotics Research, EarlyView.
This work introduces (STREAM) software tool for routing efficiently advanced macrofluidics, an open‐source software tool for automating the design of 3D‐printable fluidic circuit boards. STREAM streamlines tube routing and layout, enabling the rapid fabrication of fluidic networks for soft robotics, lab‐on‐a‐chip devices, microfluidics, and biohybrid ...
Savita V. Kendre, Lehong Wang, Haotian Liu, Markus P. Nemitz   +3 more
wiley   +1 more source

LLMER: Crafting Interactive Extended Reality Worlds with JSON Data Generated by Large Language Models [PDF]

IEEE Transactions on Visualization and Computer Graphics
The integration of Large Language Models (LLMs) like GPT-4 with Extended Reality (XR) technologies offers the potential to build truly immersive XR environments that interact with human users through natural language, e.g., generating and animating 3D ...
Jiangong Chen, Xiaoyi Wu, Tian Lan, Bin Li   +3 more
semanticscholar   +1 more source

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

Advanced Intelligent Discovery, EarlyView.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Hierarchical Language Models for Semantic Navigation and Manipulation in an Aerial‐Ground Robotic System

Advanced Intelligent Systems, EarlyView.
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu, Zhaoqi Ma, Yunong Li, Junichiro Sugihara, Yicheng Chen, Jinjie Li, Moju Zhao   +6 more
wiley   +1 more source

Serialización/deserialización de objetos y transmisión de datos con JSON: una revisión de la literatura

Tecnología en Marcha, 2016
En este artículo se presentan los resultados de la revisión de literatura sobre uno de los métodos de serialización/deserialización de objetos que usa la notación JSON (siglas en inglés de JavaScript Object Notation, o Notación de Objetos de JavaScript). 
Juan Antonio Mora-Castillo
doaj   +1 more source