output
20022026
most citedParameterized total cross sections for pion production in nuclear collisions

38 citations

56 papers

q-bio.OT2026

Energy per base pair model from NN parameters and its applications in genomic research

Shwe Sin Oo, Khin Maung Maung

Nearest-neighbor(NN) free energy parameters for DNA are well studied and reliable values of these parameters exist in the literature. They have been found to be very useful in stud…

math.DS2025★ 1 cited

Symmetric Central Configurations in the Concave 4-Body Problem with Two Pairs of Equal Masses

Yangshanshan Liu, Zhifu Xie

We establish the existence of a single-parameter family of the concave kite central configurations in the 4-body problem with two pairs of equal masses. In such configurations, one…

cond-mat.mtrl-sci2025★ 1 cited

Machine Learning Framework for Characterizing Processing-Structure Relationship in Block Copolymer Thin Films

Bradley Lamb, Saroj Upreti, Yunfei Wang +5

The morphology of block copolymers (BCPs) critically influences material properties and applications. This work introduces a machine learning (ML)-enabled, high-throughput framewor…

cs.CV2025

Embedding Shift Dissection on CLIP: Effects of Augmentations on VLM's Representation Learning

Ashim Dahal, Saydul Akbar Murad, Nick Rahimi

Understanding the representation shift on Vision Language Models like CLIP under different augmentations provides valuable insights on Mechanistic Interpretability. In this study,…

cs.CL2025★ 1 cited

Multi-Lingual Cyber Threat Detection in Tweets/X Using ML, DL, and LLM: A Comparative Analysis

Saydul Akbar Murad, Ashim Dahal, Nick Rahimi

Cyber threat detection has become an important area of focus in today's digital age due to the growing spread of fake information and harmful content on social media platforms such…

cs.LG2025★ 9 cited

Analysis of Zero Day Attack Detection Using MLP and XAI

Ashim Dahal, Prabin Bajgai, Nick Rahimi

Any exploit taking advantage of zero-day is called a zero-day attack. Previous research and social media trends show a massive demand for research in zero-day attack detection. Thi…