A geometric construction on the quantum state manifold produces an alternative constrained Schrödinger dynamics that yields new Kohn-Sham schemes for TDDFT on finite lattices.
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Symmetry analysis of ZnPc-MOF shows two-fold degenerate bands along Y lines in AB-stacked bilayers due to 2D irreps, polarization-dependent optical conductivity, and quasicrystalline states closer to the Fermi energy than in graphene.
Co2MnSn exhibits intrinsic Berry curvature-driven anomalous Hall conductivity ~500 S/cm and Nernst ~1.3 A/m/K at room temperature from topological Weyl points, enhanced to 1376 S/cm and 1.49 A/m/K at 150 K by Fermi level tuning.
Prediction of robust d-wave altermagnetism in RbCr2Se2O and the XCr2Y2O family with strain-induced net magnetization.
An unsupervised non-fully-connected deep neural network is applied to two-body systems with spin and isospin degrees of freedom and verified on the deuteron bound state.
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Geometric theory of constrained Schr\"odinger dynamics with application to time-dependent density-functional theory on a finite lattice
A geometric construction on the quantum state manifold produces an alternative constrained Schrödinger dynamics that yields new Kohn-Sham schemes for TDDFT on finite lattices.
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Symmetry-directed electronic and optical properties in a two-dimensional square-lattice ZnPc-MOF
Symmetry analysis of ZnPc-MOF shows two-fold degenerate bands along Y lines in AB-stacked bilayers due to 2D irreps, polarization-dependent optical conductivity, and quasicrystalline states closer to the Fermi energy than in graphene.
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Intrinsic Berry Curvature Driven Anomalous Hall and Nernst Effect in Co$_2$MnSn
Co2MnSn exhibits intrinsic Berry curvature-driven anomalous Hall conductivity ~500 S/cm and Nernst ~1.3 A/m/K at room temperature from topological Weyl points, enhanced to 1376 S/cm and 1.49 A/m/K at 150 K by Fermi level tuning.
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Robust $d$-wave altermagnetism in $\mathrm{XCr_2Y_2O}$ (X=K, Rb, Cs; Y=S, Se, Te) family
Prediction of robust d-wave altermagnetism in RbCr2Se2O and the XCr2Y2O family with strain-induced net magnetization.
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A neural network approach for two-body systems with spin and isospin degrees of freedom
An unsupervised non-fully-connected deep neural network is applied to two-body systems with spin and isospin degrees of freedom and verified on the deuteron bound state.