LIRC@SFIT

In modern chemical science, computational modeling and theoretical physics have become indispensable tools for predicting chemical behavior, designing advanced materials, and decoding complex reaction pathways. At the center of this field is Computational and Theoretical Chemistry , an established Elsevier journal publishing peer-reviewed research across quantum chemistry, electronic structure theory, molecular mechanics, and computer-aided molecular design. The publication release for Volume 1264 (Supplement C) presents key contributions leveraging quantum mechanical modeling to solve pressing environmental, materials science, and catalytic challenges. Key Research Themes in Volume 1264 Articles within Volume 1264 emphasize the integration of Density Functional Theory (DFT) with topological and vibrational analysis. Prominent research highlights include: Non-Covalent & Ion-Pair Interactions: Detailed DFT evaluations (using functionals such as M06-2X) exploring hydrogen bonding, t...

(Image Credit: Google Gemini) In the rapidly evolving landscape of artificial intelligence, visual perception systems are undergoing a continuous metamorphosis. At the forefront of this academic transformation is Computer Vision and Image Understanding (CVIU) , one of Elsevier’s primary peer-reviewed journals dedicated to publishing research on image analysis, visual perception, and machine intelligence. The publication release for Volume 270 (Supplement C) presents key contributions addressing persistent computational vision challenges—ranging from visual feature extraction to advanced deep learning architectures. Key Focus Areas of CVIU Volume 270 Articles within this volume highlight the transition toward zero-shot learning, medical image segmentation, dynamic scene analysis, and computational efficiency. Core research themes featured in this volume release include: Prompt-Guided & Attention-Based Architectures: Integrations of state-space models (such as Mamba architectures)...