Probing Nanoscale Structural Perturbation in a WS2 Monolayer via Explainable Artificial Intelligence

Chemistry, Nanoscience, Materials Science, Information Science, Semiconductors and Information Devices, Artificial Intelligence,
nanoscale   structural perturbation   explainable artificial intelligence   Raman spectroscopy   machine learning  

Background Introduction Two-dimensional (2D) materials exhibit significant potential in fields such as nanoelectronics and optoelectronics due to their unique physical and chemical properties. However, structural perturbations at the nanoscale have a profound impact on their performance. Traditional characterization methods like Raman spectroscopy,...

Structural and Chemical Analysis of C-BN/Diamond Heterostructures

Materials Science, Inorganic Non-Metallic Materials, Information Science, Semiconductors and Information Devices,
C-BN   diamond   heterostructures   chemical vapor deposition   electron microscopy  

Academic Background Cubic boron nitride (C-BN) is an ultra-wide bandgap semiconductor material with high thermal conductivity, low dielectric constant, and high breakdown electric field, making it highly promising for applications in high-temperature, high-power electronic devices. However, the synthesis of C-BN still faces numerous challenges, par...

Learning Semantic Consistency for Audio-Visual Zero-Shot Learning

Information Science, Computer Science, Artificial Intelligence,
Audio-Visual Zero-Shot Learning   Video Classification   Attention Mechanism   Hyperbolic Geometry   Semantic Consistency  

Academic Background In the field of artificial intelligence, Zero-Shot Learning (ZSL) is an extremely challenging task that aims to recognize unseen classes by leveraging knowledge from seen classes. Audio-Visual Zero-Shot Learning (AVZSL), a branch of ZSL, seeks to classify unseen classes by combining audio and visual information. However, many ex...

Fast Machine Learning for Building Management Systems

Engineering, Architecture and Civil Engineering, Electrical Engineering, Information Science, Artificial Intelligence,
Fast Machine Learning   Building Management Systems   Energy Forecasting   Hardware Accelerators   Building Automation  

Academic Background With the intensification of the global energy crisis and the increasing awareness of environmental protection, the intelligence and efficiency of Building Management Systems (BMS) have become a focal point in both academia and industry. Traditional BMS relies on rule-based control methods, which are unable to dynamically adapt t...

Artificial Intelligence in Chemical Exchange Saturation Transfer Magnetic Resonance Imaging

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Oncology,
Artificial Intelligence   Chemical Exchange Saturation Transfer   Magnetic Resonance Imaging   Machine Learning   Medical Image Processing  

Academic Background Chemical Exchange Saturation Transfer (CEST) Magnetic Resonance Imaging (MRI) is an advanced non-invasive imaging technique that provides detailed molecular information about living tissues. CEST MRI works by selectively saturating exchangeable protons of specific metabolites and transferring this saturation to water molecules, ...

Comparative Analysis of Methodologies and Approaches in Recommender Systems Utilizing Large Language Models

Information Science, Computer Science, Artificial Intelligence,
Recommender Systems   Large Language Models   Natural Language Processing   User Modeling   Collaborative Filtering   Parameter-Efficient Fine-Tuning  

Academic Background With the explosive growth of internet information, recommender systems (RSs) have become indispensable in modern digital life. Whether it’s movie recommendations on Netflix or personalized news feeds on social media, recommender systems are reshaping users’ online experiences. However, traditional recommender systems face numero...