Machine learning surrogates trained on 1,221 DFT compounds identify five DFT-validated stable lead-free double perovskites from 13,088 candidates using genome-guided descriptors.
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MscaleFNO learns mappings from oscillatory media to wavefields for Helmholtz inverse problems and pairs it with diffusion regularization for partial-aperture 2D reconstructions.
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Genome-Guided Interpretable Screening of Phase-Stable, Lead-Free Double Perovskite Absorbers for All-Inorganic Semiconductors, Sensors, and Photovoltaics with DFT-Validated Design Rules
Machine learning surrogates trained on 1,221 DFT compounds identify five DFT-validated stable lead-free double perovskites from 13,088 candidates using genome-guided descriptors.
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Multiscale Fourier Neural Operator for Inverse Wave Scattering in Highly Oscillatory Media
MscaleFNO learns mappings from oscillatory media to wavefields for Helmholtz inverse problems and pairs it with diffusion regularization for partial-aperture 2D reconstructions.