Results 121 to 130 of about 69,316 (271)
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto +3 more
wiley +1 more source
An Artificial Molecular Pump Powered by Light
A minimal rotaxane‐based supramolecular system functions as a light‐powered molecular pump, capturing macrocycles from solution and concentrating them within an intramolecular compartment. Repeated azobenzene photoisomerization modulates the binding and kinetic barriers of threading and shuttling, generating a photon‐driven energy ratchet that sustains
Federico Nicoli +7 more
wiley +2 more sources
Cross-Lingual Image Caption Generation [PDF]
Takashi Miyazaki, Nobuyuki Shimizu
openaire +1 more source
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
Image captioning is a fascinating and fast-evolving research project that integrates two domains: Natural Language Processing and Computer Vision. Creating appropriate captions is a difficult task due to the many activities portrayed in the backdrop ...
P. V. Kavitha, V. Karpagam
doaj +1 more source
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +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
Tell Me What You See: Text-Guided Real-World Image Denoising
Image reconstruction from noisy sensor measurements is challenging and many methods have been proposed for it. Yet, most approaches focus on learning robust natural image priors while modeling the scene’s noise statistics.
Erez Yosef, Raja Giryes
doaj +1 more source

