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20242026
most citedToward Quantum-Aware Machine Learning: Improved Prediction of Quantum Dissipative Dynamics via Complex Valued Neural Networks

1 citations · 4 across the 5 of their papers we have counts for

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cond-mat.mtrl-sci2025★ 1 cited

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…

cond-mat.mtrl-sci2025★ 1 cited

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

Topological materials, including topological insulators (TIs) and topological semimetals (TSMs), offer promising platforms for quantum, spintronic, and low-dissipation electronic t…