Results 81 to 90 of about 48,760 (297)

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Dynamic subgraph pruning and causal-aware knowledge distillation for temporal knowledge graphs

Journal of King Saud University: Computer and Information Sciences
Temporal Knowledge Graph (TKG) reasoning has attracted attention for its ability to capture temporal evolution patterns and improve computational efficiency. However, existing methods still encounter challenges in entity and relation prediction tasks. To
Qian Liu, Siling Feng, Mengxing Huang
doaj   +1 more source

Resolving Heterogeneity of Targeted Lipid Nanoparticles Through Solution‐Based Biophysical Analyses

Advanced Materials, EarlyView.
AF4‐UV‐DLS‐MALS‐SAXS resolves previously inaccessible targeted lipid nanoparticle (tLNP) subpopulations that differ in size, shape, and composition. Correlation of subpopulation‐resolved biophysical properties with in vivo RNA delivery reveals that targeted placental transfection is associated with distinct tLNP subpopulations rather than ensemble ...
Hannah C. Geisler, Hannah C. Safford, Ajay S. Thatte, Marshall S. Padilla, Elisa Battistini, Hannah M. Yamagata, Violet M. Ullman, Alex Chan, Benjamin E. Nachod, Anushka Agrawal, Maxwell B. Watkins, Jesse B. Hopkins, Andrew Tsourkas, Kushol Gupta, Michael J. Mitchell   +14 more
wiley   +1 more source

ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs [PDF]

, 2023
Question answering over temporal knowledge graphs (TKGQA) has recently found increasing interest. TKGQA requires temporal reasoning techniques to extract the relevant information from temporal knowledge bases.
Wu, Jingpei, Tresp, Volker, Han, Zhen, Ding, Zifeng, Liao, Ruotong, Chen, Shuo, He, Bailan, Qi, Ruoxia, Li, Zongyue, Meng, Zhao, Ma, Yunpu   +10 more
core   +1 more source

Optoelectronic Nanofluidic Neural Networks for Ionic Computing

Advanced Materials, EarlyView.
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang, Zhiyuan Du, Changjin Wu, Binglin Zeng, Yingnan Cao, Mingliang Li, Liren Zhang, Qingxin Guo, Chao Huang, Can Li, Jinyao Tang   +10 more
wiley   +1 more source

Leveraging Pre-trained Language Models for Time Interval Prediction in Text-Enhanced Temporal Knowledge Graphs [PDF]

, 2023
Most knowledge graph completion (KGC) methods learn latent representations of entities and relations of a given graph by mapping them into a vector space. Although the majority of these methods focus on static knowledge graphs, a large number of publicly
Chekol, Mel, Velegrakis, Yannis, Islakoglu, Duygu Sezen   +2 more
core   +1 more source

MTS-RE-GCN: Multi-Task Methods for Enhanced Spatio-Temporal Reasoning in Temporal Knowledge Graphs

ISPRS International Journal of Geo-Information
Temporal knowledge graphs aim to enhance the dynamic and evolutionary representation of knowledge while enabling time-based reasoning. However, the reasoning based on temporal knowledge graphs in real geographic environments suffers from low accuracy due
Yuhao Huo, Guangyuan Zhang, Bing Han, Xiaochong Tong, Chengqi Cheng   +4 more
doaj   +1 more source

Stimuli‐Responsive Hierarchical Structuring Controls Survival and Programs Hydrogelation of Supramolecular Metallofibers

Advanced Materials, EarlyView.
Aqueous Zn(II) Salphen metallofibers decorated with PNIPAM undergo reversible, multi‐stimuli‐responsive hierarchical bundling. This higher‐order structuring kinetically stabilizes the otherwise fragile assemblies against dilution, acidic hydrolysis, and transmetallation, enables selective sorting of responsive fibers, and programs hydrogelation at ...
Merlin R. Stühler, László Mérai, Kai Ludwig, Rainer Haag, Quinn A. Besford, Alex J. Plajer   +5 more
wiley   +1 more source

APPTeK: Agent-Based Predicate Prediction in Temporal Knowledge Graphs [PDF]

, 2022
In temporal Knowledge Graphs (tKGs), the temporal dimension is attached to facts in a knowledge base resulting in quadruples between entities such as (Nintendo, released, Super Mario, Sep-13-1985), where the predicate holds within a time interval or at a
Frey, Christian M. M., Schubert, Matthias, Ma, Yunpu   +2 more
core   +1 more source

Dynamic Evolution and Relation Perception for Temporal Knowledge Graph Reasoning

Future Internet
Temporal knowledge graphs (TKGs) incorporate temporal information into traditional triplets, enhancing the dynamic representation of real-world events.
Yuan Huang, Pengwei Shi, Xiaozheng Zhou, Ruizhi Yin   +3 more
doaj   +1 more source