Results 111 to 120 of about 30,335 (256)

Prototypical Graph Contrastive Learning for Recommendation

Applied Sciences
Data sparsity caused by limited interactions makes it challenging for recommendation to accurately capture user preferences. Contrastive learning effectively alleviates this issue by enriching embedding information through the learning of diverse ...
Tao Wei, Changchun Yang, Yanqi Zheng
doaj   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Contrastive learning on high-order noisy graphs for collaborative recommendation

Scientific Reports
The graph-based collaborative filtering method has shown significant application value in recommendation systems, as it models user-item preferences by constructing a user-item interaction graph.
Jiahao Wang, Qingshuai Wang, Noor Farizah Ibrahim, Zurinahni Zainol   +3 more
doaj   +1 more source

Multi-granularity contrastive learning model for next POI recommendation

Frontiers in Neurorobotics
Next Point-of-Interest (POI) recommendation aims to predict the next POI for users from their historical activities. Existing methods typically rely on location-level POI check-in trajectories to explore user sequential transition patterns, which suffer ...
Yunfeng Zhu, Shuchun Yao, Xun Sun
doaj   +1 more source

Graph Contrastive Learning via Spectral Graph Alignment

Given augmented views of each input graph, contrastive learning methods (e.g., InfoNCE) optimize pairwise alignment of graph embeddings across views while providing no mechanism to control the global structure of the view specific graph-of-graphs built from these embeddings. We introduce SpecMatch-CL, a novel loss function that aligns the view specific
Nguyen, Manh, Cape, Joshua
openaire   +2 more sources

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

Dual intent view contrastive learning for knowledge aware recommender systems

Scientific Reports
Knowledge-aware recommendation systems often face challenges owing to sparse supervision signals and redundant entity relations, which can diminish the advantages of utilizing knowledge graphs for enhancing recommendation performance.
Jianhua Guo, Zhixiang Yin, Shuyang Feng, Donglin Yao, Shaopeng Liu   +4 more
doaj   +1 more source

Oxygen Evolution Reaction Catalysts for Acidic‐Media CO2 Electrolyzers

Advanced Materials, EarlyView.
Acidic‐media CO2 electroreduction (CO2R) could decarbonize chemical production, despite relying on rare‐earth elements for anodic oxygen evolution reaction (OER). Transferring the learnings from mature sister technologies (water electrolysis) could accelerate technological development.
Mingcheng Huang, Adnan Ozden
wiley   +1 more source

Two‐Way Shape Memory Polymer Composite Gripper for Adaptive Robotic Applications

Advanced Materials Technologies, EarlyView.
A two‐way shape memory polymer (SMP) composite is developed with intrinsic shape‐changing capability driven solely by temperature, eliminating external actuation loads. Embedding the SMP in a low‐stiffness elastomeric matrix enabled reversible transformations during heating and cooling cycles.
Aamna Hameed, Kamran Ahmed Khan
wiley   +1 more source

Multiscale Acoustic Bubble Actuators Using Bioinspired Liquid‐Repellent Microstructures

Advanced Materials Technologies, EarlyView.
The article presents multiscale acoustic bubble actuators using bioinspired liquid‐repellent microstructures, enabling programmable trapping, pumping, mixing, and precise flow control. Mimicking springtail microstructures, these scalable actuators (200 µm–1 mm) offer multifunctionality in all‐in‐one devices, letter‐shaped arrays, and 3D cube ...
Cem Balda Dayan, Nima Mahkam, Nihal Olcay Dogan, Ville Liimatainen, Defne Hiz, Aleyna Ilgezdi, Daniel Razansky, Amirreza Aghakhani, Metin Sitti   +8 more
wiley   +1 more source