MALOQ introduces a scalable SO(2)-equivariant ML framework with custom kernels and edge-wise graph distribution for predicting large-scale quantum transport operators.
Mobility calculation in disordered ws2-al2o3 stacks from first principles,
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The quatrex quantum transport solver achieves up to 51% higher throughput using low-precision formats while maintaining accuracy on realistic semiconductor systems.
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MALOQ: Massively Accelerated Learning of Operators for Quantum Transport
MALOQ introduces a scalable SO(2)-equivariant ML framework with custom kernels and edge-wise graph distribution for predicting large-scale quantum transport operators.
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Optimizing Semiconductor Device Simulations through Low-Precision Arithmetic
The quatrex quantum transport solver achieves up to 51% higher throughput using low-precision formats while maintaining accuracy on realistic semiconductor systems.