From the 1 of 4 linked papers with an AI index.
4 papers
TXL Fusion: A Hybrid Machine Learning Framework Integrating Chemical Heuristics and Large Language Models for Topological Materials Discovery
Arif Ullah, Rajibul Islam, Yangming Huang +4
The paper presents TXL Fusion, a hybrid machine‑learning system that combines chemical heuristics, physics‑based descriptors, and large language model embeddings to classify and pr…
Quantum-inspired Chemical Rule for Discovering Topological Materials
Xinyu Xu, Rajibul Islam, Ghulam Hussain +5
Topological materials exhibit unique electronic structures that underpin both fundamental quantum phenomena and next-generation technologies, yet their discovery remains constraine…
Toward Quantum-Aware Machine Learning: Improved Prediction of Quantum Dissipative Dynamics via Complex Valued Neural Networks
Muhammad Atif, Arif Ullah, Ming Yang
Accurately modeling quantum dissipative dynamics remains challenging due to environmental complexity and non-Markovian memory effects. Although machine learning provides a promisin…
From short-sighted to far-sighted: A comparative study of recursive machine learning approaches for open quantum systems
Arif Ullah
Accurately modeling open quantum system dynamics is crucial for advancing quantum technologies, yet traditional methods struggle to balance accuracy and efficiency. Machine learnin…