Results 111 to 120 of about 123,539 (262)

AI‐Based Digital Rocks Augmentation and Assessment Metrics

Water Resources Research
Reliable uncertainty model calculation in subsurface engineering from pore‐ and grain‐scale to field‐scale relies on sufficient data, but subsurface data set acquisition remains a challenge, particularly in domains where data collection is expensive or ...
Lei Liu, Bernard Chang, Maša Prodanović, Michael J. Pyrcz   +3 more
doaj   +1 more source

Graph Feature Refinement and Adaptive Matching Network for Cross-Scene Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Cross-scene hyperspectral image (HSI) classification faces significant challenges due to domain shifts caused by variations in imaging conditions and environmental factors across different scenes.
Chenyang Jin, Xiaodong Yu, Hongbin Dong, Shuying Zang   +3 more
doaj   +1 more source

Augmenting graphs to partition their vertices into a total dominating set and an independent dominating set [PDF]

Opuscula Mathematica
A graph \(G\) whose vertex set can be partitioned into a total dominating set and an independent dominating set is called a TI-graph. There exist infinite families of graphs that are not TI-graphs. We define the TI-augmentation number \(\operatorname{ti}(
Teresa W. Haynes, Michael A. Henning
doaj   +1 more source

Edge-Connectivity Augmentation of Simple Graphs

SIAM Journal on Discrete Mathematics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kasper Skov Johansen, Eva Rotenberg, Carsten Thomassen   +2 more
openaire   +2 more sources

Arresting Microphase Separation Encodes Material Mechanics by Sculpting Microarchitectures and Local Polymer Enrichment

Advanced Materials, EarlyView.
Microarchitecture sculpting via phase separation programs hydrogel mechanics by creating globular, inverse globular, and spinodal structures. Spinodal architectures deliver superior toughness and energy dissipation, while ionic modulation through single polymer phase separation offers a simple, scalable route to tune mechanical properties ...
Castro Johnbosco, Floris Dalenoord, Jarno Hiemstra, Yu Na, Alexis Wolfel, Cécile Bosmans, Christine Gering, Niels Willemen, Su Ryon Shin, Jeroen Leijten   +9 more
wiley   +1 more source

A Negative Sample-Free Graph Contrastive Learning Algorithm

Mathematics
Self-supervised learning is a new machine learning method that does not rely on manually labeled data, and learns from rich unlabeled data itself by designing agent tasks using the input data as supervision to obtain a more generalized representation for
Dongming Chen, Mingshuo Nie, Zhen Wang, Huilin Chen, Dongqi Wang   +4 more
doaj   +1 more source

Machine Learning‐Informed Nano Co‐Assembly Inhibits Fibroblast Activation Protein and Improves Drug Delivery in Fibrotic Tissue

Advanced Materials, EarlyView.
We present SP‐13786 (SP), a fibroblast activation protein (FAP) inhibitor, as a universal excipient for co‐assembling stable drug nanoparticles (SCAN). Assembly mechanism deciphered by molecular dynamics and explainable machine learning, SCAN attenuate fibrosis‐induced stromal barriers, enhances lesional drug accumulation, and improves therapeutic ...
Zehua Liu, Qiang Long, Yihao Liu, Xiuqiao Sun, Baoding Zhang, Binxin Liao, Weibin Wu, Wangxi Hai, Pei Zhang, Wenhua Lian, Yuewen Zhu, Zheng Wang, Caisheng Wu, Xianming Deng, Hélder A. Santos, Xiaofeng Ye   +15 more
wiley   +1 more source

Large‐Area 2D Metasurface‐Based Triboelectric E‐Skin Arrays: Contact & Proximity Tactile Mapping with Broadband Acoustic Readouts

Advanced Materials, EarlyView.
Metasurface‐engineered NC‐TENG arrays integrate tactile pressure mapping, non‐contact gesture sensing, and acoustic signal readouts in one ultrathin module, and outperforms pristine PDMS in terms of electrical output and real‐time spatial mapping for next‐gen wearables.
Injamamul Arief, Swagato Sarkar, Anik Kumar Ghosh, Osvalds Verners, Kamal Kumar Meena, Su‐Hyeong Lee, Soosang Chae, Tobias A. F. König, Beate Krause, Andreas Fery, Mehmet Sait Özer, Anindya Nag, Amit Das   +12 more
wiley   +1 more source

Generative Models for Crystalline Materials

Advanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni, Laura Ruple, Lauren N. Walters, Luca Torresi, Jonas Teufel, Henrik Schopmans, Jona Östreicher, Yumeng Zhang, Marlen Neubert, Yuri Koide, Kevin Steiner, Paul Link, Lukas Bär, Mariana Petrova, Gerbrand Ceder, Pascal Friederich   +15 more
wiley   +1 more source

Graph Contrastive Learning With Personalized Augmentation

IEEE Transactions on Knowledge and Data Engineering
Graph contrastive learning (GCL) has emerged as an effective tool for learning unsupervised representations of graphs. The key idea is to maximize the agreement between two augmented views of each graph via data augmentation. Existing GCL models mainly focus on applying \textit{identical augmentation strategies} for all graphs within a given scenario ...
Xin Zhang, Qiaoyu Tan, Xiao Huang, Bo Li
openaire   +2 more sources