Small (Weinheim an der Bergstrasse, Germany)
Feb 15, 2026
The formation of extended sulfur vacancies in MoS2 monolayers is closely associated with catalytic activity and may also be the basis for its memristive behavior. Nanosecond-scale molecular dynamics simulations using machine learning interatomic pote... read more
High-order anapoles present strongly concentrated energy and narrow resonance widths and thus become burgeoning candidates in nonlinear optical conversion and strong coupling fields. Nevertheless, existing studies are rarely focused on strong couplin... read more
In this Letter, a remote sensing method for measuring the fluorescence lifetime of aerosols is proposed, which combines the Mie-fluorescence lifetime-scattering (MFLS) model, established based on Mie and fluorescence lidar theory, with the golden sec... read more
Accurate carbon concentration monitoring is vital for climate change mitigation and environmental management. While laser-induced breakdown spectroscopy (LIBS) offers rapid, non-destructive detection, it is affected by plasma fluctuations and environ... read more
To overcome the single-modal limitations of Laser-Induced Breakdown Spectroscopy (LIBS) for identifying diverse metal corrosion types in industrial settings, we introduce a multi-modal approach by incorporating acoustic signals, termed Laser-Induced ... read more
Pesticide biochemistry and physiology
Feb 15, 2026
Currently, effective antiviral drugs against Bombyx mori nucleopolyhedrovirus (BmNPV) are still lacking, which has caused significant economic damage to the sericulture industry. Virtual screening and artificial intelligence provide opportunities for... read more
Recent years have witnessed remarkable progress in multimodal learning within computational pathology. Existing models primarily rely on vision and language modalities; however, language alone lacks molecular specificity and offers limited pathologic... read more
Data-driven approaches like deep learning are rapidly advancing planetary science, particularly in Mars exploration. Despite recent progress, most existing benchmarks remain confined to closed-set supervised visual tasks and do not support text-guide... read more
Diffusion Transformers (DiT) have demonstrated remarkable generative capabilities but remain highly computationally expensive. Previous acceleration methods, such as pruning and distillation, typically rely on a fixed computational capacity, leading ... read more
Personalized text-to-image generation aims to integrate specific identities into arbitrary contexts. However, existing tuning-free methods typically employ Spatially Uniform Visual Injection, causing identity features to contaminate non-facial region... read more
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