In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley +1 more source
Near-Field Imaging of Hybrid Surface Plasmon-Phonon Polaritons on n-GaN Semiconductor. [PDF]
Janonis V+5 more
europepmc +1 more source
We developed two generative adversarial network models that correspond to nucleation and directional solidification, using data collected from real materials. By combining these models, we created a method to virtually replicate real‐world crystal growth experiments and generate a variety of 3D multicrystalline silicon models in cyberspace.
Takumi Deshimaru+7 more
wiley +1 more source
Novel 4H-SiC Double-Trench MOSFETs with Integrated Schottky Barrier and MOS-Channel Diodes for Enhanced Breakdown Voltage and Switching Characteristics. [PDF]
Wang P+10 more
europepmc +1 more source
AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley +1 more source
Corrigendum: Advances in Doxorubicin-based nano-drug delivery system in triple negative breast cancer. [PDF]
Zeng W+5 more
europepmc +1 more source
First-principles design of GaN-VHC (H = Cl, Br; C = Se, Te) van der Waals heterostructures for advanced optoelectronic applications. [PDF]
Ahmad S+4 more
europepmc +1 more source
Optimization of Low-Voltage p-GaN Gate HEMTs for High-Efficiency Secondary Power Conversion. [PDF]
Zhai L+13 more
europepmc +1 more source
MeVGAN: GAN-based plugin model for video generation with applications in colonoscopy. [PDF]
Struski Ł+6 more
europepmc +1 more source