Results 171 to 180 of about 5,812 (264)
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
A critical transformation from hydrogen‐bonded trimers to π–π stacked tetramers is unveiled by microwave spectroscopy, highlighting dispersion as a key force in directing carboxylic acid aggregation. ABSTRACT Carboxylic acids critically influence atmospheric chemistry by modulating acidity, new particle formation, and aerosol growth.
Jingling Hong +3 more
wiley +2 more sources
Inertia-driven amphibious robot with asymmetric microundulatory fin arrays. [PDF]
Tang L +6 more
europepmc +1 more source
Soft Artificial Ciliary Brush with Integrated Haptic Feedback for Efficient Airway Mucus Cleaning
A fundamental mucus cleaning mechanism is reported, which utilizes both artificial cilia mechanical sweeping and suction‐based mucus cleaning. A novel haptic feedback interface for the artificial cilia provides touch feedback on tissue contact, enhancing operator control and safety.
Zhongming Lyu +7 more
wiley +1 more source
Extended Fused Carbazole‐BODIPY, High Brightness NIR Organic Dyes
Highly fused boron‐dipyrromethene (BODIPY) with a strong donor group has been synthesized, and their photophysical behaviors fully characterized. They exhibit outstanding brightness for fluorophores emitting in the NIR region. Water‐soluble nanoparticles filled with one of these dyes demonstrate high efficiency as the NIR II visualization agent ...
Fabien Ceugniet +9 more
wiley +2 more sources
Study on fault vibration characteristics of shield cutters based on FEM-MBD. [PDF]
Chen J, Zhang P, Li S, Qiu S, Zhang T.
europepmc +1 more source
A modular eight‐legged robot exploits anisotropically oriented soft I‐beam backbones to transmit vibration from a single unbalanced‐mass actuator, producing frequency‐dependent multimodal gaits. A pseudo‐rigid‐body model enables high‐fidelity MuJoCo simulation, while Bayesian parameter identification and reinforcement learning yield robust control ...
Yiğit Yaman +4 more
wiley +1 more source
Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models
AI‐empowered catalysis research via integrated database platform, universal machine learning interatomic potentials (MLIPs), and large language models (LLMs). ABSTRACT The integration of artificial intelligence (AI) into catalysis is fundamentally reshaping the research paradigm of catalyst discovery.
Di Zhang +7 more
wiley +2 more sources
Effects of Unbalance Identification Locations on Transient Dynamic Balancing Without Trial Weights Performance of Power Turbine Rotor. [PDF]
Zhao J +6 more
europepmc +1 more source
Nanomaterial‐Mediated Near‐Infrared Photothermal Neuromodulation for Neurologic Disorders
This review summarizes how near‐infrared light activates photothermal nanomaterials to enable noninvasive neuromodulation with high spatiotemporal precision. It elucidates the underlying mechanisms, explores targeted therapeutic applications for neurological disorders, discusses integration with optogenetics and biosensors, and addresses future ...
Ting‐Ting Zeng +9 more
wiley +1 more source

