Results 181 to 190 of about 34,971 (213)

Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery

Materials Genome Engineering Advances, EarlyView.
ElementBERT extracts semantic embeddings of chemical elements from 1.29 million alloy‐related abstracts, providing robust descriptors that improve prediction accuracy by up to 23% across titanium, high‐entropy, and shape memory alloys, with demonstrated generalization on alloy compositions reported in 2025.
Yunze Jia, Yuehui Xian, Yangyang Xu, Pengfei Dang, Xiangdong Ding, Jun Sun, Yumei Zhou, Dezhen Xue   +7 more
wiley   +1 more source

DeepSeek‐Lattice‐KG: A Compact Language Model With Knowledge Graph Augmentation for Lattice Structure Design

Materials Genome Engineering Advances, EarlyView.
DeepSeek‐Lattice‐KG integrates a domain‐adapted 14B LLM with a Neo4j lattice knowledge graph distilled from 50,000 papers. It analyzes queries, retrieves supporting subgraphs, and generates grounded answers; on a 2100‐question, six‐domain benchmark, it achieves 94.8% accuracy.
Zhiyang Shu, Chao Wang, Changsheng Feng, Feiyu Zhou, Xueyan Chen, Yan Chen, Yilun Liu   +6 more
wiley   +1 more source

QGeoSEP: A Novel Multi‐Task Learning Framework Integrating Quantum, Geometric, and Semantic Features for Collaborative Prediction of Multiple Properties With Potential Application to Energetic Materials

Materials Genome Engineering Advances, EarlyView.
We introduce QGeoSEP, a multi‐task learning framework for accurate energetic material property prediction, with competitive performance against mainstream baselines and an accessible online tool for efficient molecular evaluation. ABSTRACT Accurate physicochemical property prediction is critical for the rational design of energetic materials (EMs), yet
Mingchi Gao, Zhijiang Yang, Tengxin Huang, Yingjun Zhang, Liangliang Wang, Junjie Ding, Mingtian Li   +6 more
wiley   +1 more source

Assessing ChatGPT for taxonomic and floristic studies

Nordic Journal of Botany, EarlyView.
The advancement of biological sciences has long been closely linked to technological progress. ChatGPT, a generative artificial intelligence chatbot capable of producing human‐like conversational responses, has recently attracted attention as a potential support tool for scientific research.
Mykyta Peregrym, Olena Kozak, Ahmet Emre Yaprak, Alan Elliott, Pedro Bond Schwartsburd, Karime Abidkulova, Anna Voytsekhovich, Olena Danylevska   +7 more
wiley   +1 more source

Stochastic Instability of Multimodal Large Language Models in Dermoscopic Triage: A Reproducibility Study

JEADV Clinical Practice, EarlyView.
Stefano Pasi, Caterina Marchini, Emanuela Passoni, Angelo V. Marzano   +3 more
wiley   +1 more source

Epistemic diversity and the politics of knowledge in plant disease management: Insights from the Xylella fastidiosa epidemic in southern Italy

PLANTS, PEOPLE, PLANET, EarlyView.
Xylella fastidiosa is a major plant pathogen affecting crops such as grapes, citrus, almonds, and olives, with potentially severe consequences for agricultural production and rural livelihoods worldwide. This paper examines the conflict around the management of the X. fastidiosa outbreak affecting olive trees in southern Italy.
Fabio Gatti, David Ludwig, Phil Macnaghten   +2 more
wiley   +1 more source

Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning

Journal of Field Robotics, EarlyView.
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi, Alberto Topini, Alessandro Bucci, Alessandro Ridolfi   +3 more
wiley   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source

Engaging the Complexities of Energy Transitions: Sociotechnical and Dualistic Insights From Crossdisciplinary Undergraduates

Science Education, EarlyView.
ABSTRACT Discourses of energy and energy transition have become increasingly prevalent in informal and formal learning spaces. Energy transitions differ across regions, contexts, and technologies. The contextual nature of energy is an opportunity for a sociotechnical approach to its study.
Desen S. Özkan, Todd Campbell, Pamela Detrois   +2 more
wiley   +1 more source

Hybrid text mining models for investigative keyword expansion on child sexual abuse in the dark web. [PDF]

PLoS One
Kim JG, Kim J.
europepmc   +1 more source