8 citations · 18 across the 10 of their papers we have counts for
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cond-mat.mtrl-sci2026
Data-driven discovery and rapid, direct synthesis of MXenes
Ali Saffar Shamshirgar, Guilherme Ribeiro Portugal, Soheil Ershadrad +9
MXenes, two-dimensional transition-metal carbides and nitrides, are typically obtained from MAX phases, yet historical reports suggest a broader, largely unexplored chemical space.…
cs.IR2026
Dual-Level Atomic and Coordination Geometry Learning for Crystal Property Prediction Using Graph Neural Networks
Sanjay Chakraborty
Accurate prediction of crystal properties remains a key challenge in computational materials science. While graph neural networks (GNNs) such as CGCNN, MEGNet, ALIGNN, and SchNet h…
cs.IR2026
A Quantum-Classical Hybrid Framework for Multivariate Time-Series Forecasting Complexity-Fidelity Trade-offs and Limitations
Sanjay Chakraborty, Fredrik Heintz
This paper presents a unified quantum-classical hybrid framework for multi-horizon time-series forecasting, introducing two model variants Quantum Reservoir Forecaster (QRC-F) and…