An electrically-injected GaN waveguide polariton laser operates at room temperature in mode-locked regime, breaking the transparency condition and enabling short cavities with partial injection.
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BeyondBOLSIG+:MonteCarlosimulation of electron and ion swarms to obtain transport and rate coefficients forplasmamodeling
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A magneto-pressure ultrafast spectroscopy platform shows pressure collapse of CDW order and possible non-bulk superconducting correlations in Pr4Ni3O10 via quasiparticle relaxation dynamics.
The Spin-MInt algorithm is proven symplectic for general K electronic states via explicit verification of the condition MJM^T = J on the coadjoint orbit of the su(K) Lie-Poisson algebra.
LiL-Q applies quasilinearization to nonlinear PDEs and solves each resulting linear problem by convex least-squares collocation on Linear-in-Learnables trial spaces, achieving fast convergence and high accuracy on multiple benchmarks.
Tensor networks enable tunable, objective compression of 1D fluid data with lossless reconstruction at high bond dimension and efficient in-compressed-space operations like periodic convolution.
FLASH-MAX embeds exact Maxwell solutions as neurons in a neural network to reconstruct homogeneous EM fields from sparse data with guaranteed zero PDE residual and proven universal approximation on arbitrary domains.
Alpha particles suppress microturbulence in burning plasmas via TAE-driven zonal flow enhancement, improving confinement and alpha heating by up to 25% in a positive feedback loop.
A programmable silicon photonic chip excited with single photons implements quantum reservoir computing for quantum state tomography, entanglement measurement via negativity, and classical tasks, with an imperfection mitigation technique that improves accuracy over the classical regime.
Magnetic fields induce near-field conductivity at step edges in topological materials, enabling nanoscale imaging of spin-polarized helical edge modes whose infrared response scales linearly with atomic layer thickness.
Sparse regression yields explicit invariant polynomial SGS closures for LES on anisotropic grids that achieve neural-network accuracy with simpler forms and lower computational cost.
A novel identity connects reduced-model drift and diffusion to the conditional score of the finite-time transition density, turning calibration into a least-squares problem over stationary lagged pairs that preserves invariant statistics and dynamical correlations.
A spectral mPOD reformulation uses compact disjoint frequency masks to block-diagonalize the correlation operator, shrinking eigenvalue problems to per-band sizes while recovering identical modes and singular values.
Ultrafast nonlinear Hall effect is observed in centrosymmetric black phosphorus via femtosecond laser pulses polarized along the armchair direction, persisting beyond 300 fs.
A twistor-string quantization of internal Majorana fermions on minimal surfaces solves the Makeenko-Migdal equations and yields parametric Regge trajectories matching light meson data.
An algorithm converts topological data of 2D bulk stabilizer codes into 1D boundary subsystem codes via operator algebra and normal forms, enabling automatic generation of boundaries and defects demonstrated on toric, color, and other codes.
A YIG-based Rowland circle magnonic spectrometer with local electrical readout is fabricated via sputter deposition and etching and verified by electrical and magneto-optical measurements.
Rigorous NMP model for DLTS demonstrates that Henry-Lang approximations cause up to six orders of magnitude errors in temperature dependence of capture cross sections due to neglected phonon-lattice correlations.
81-92% of chemically valid and metastable crystals from generative models are training duplicates or substitution-derived, with low-symmetry cases showing interpolation and high-symmetry cases showing memorization.
Experimental measurements reveal that outlet flow restrictions in sonic fluidic oscillators decouple upstream jet attachment from downstream mass flux split, sustaining oscillations at small apertures.
Boundary mixed steady states in networked evolutionary games are characterized by boundary Nash equilibria in two-strategy cases and are generically unstable unless degenerate due to interaction structure among mixed players.
CGYRO simulations find alpha particles suppress core turbulence in ARC tokamak via multiscale effects and raise the ITG critical gradient nonlinearly.
Archê implements accelerated SCF in OFMD to generate plasma EOS with linear scaling and GPU speedup, validated on aluminum against Abinit after adding a pseudopotential correction from an average-atom model.
SKMD adapts Stein variational gradient descent into molecular dynamics with asynchronous updates and global atomic descriptor kernels to acquire non-redundant training configurations while preserving the Boltzmann distribution, yielding higher MLIP accuracy with fewer samples than baselines.
A 10-variable Galerkin model with Bessel basis functions for a rotating convective annulus reproduces Nu ~ Ra^(1/4) scaling, rotational suppression, and explicit critical Rayleigh numbers.
citing papers explorer
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Ultrafast nonlinear Hall effect in black phosphorus
Ultrafast nonlinear Hall effect is observed in centrosymmetric black phosphorus via femtosecond laser pulses polarized along the armchair direction, persisting beyond 300 fs.
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Nonradiative Multiphonon Model of Deep-Level Transient Spectroscopy: Beyond Henry-Lang Model
Rigorous NMP model for DLTS demonstrates that Henry-Lang approximations cause up to six orders of magnitude errors in temperature dependence of capture cross sections due to neglected phonon-lattice correlations.
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An extended ab initio theory of the V$_{\text{B}}^-$ center in hBN: excited states, Jahn-Teller distortion, and pressure dependence
CASSCF-NEVPT2 calculations map the excited-state fine structure, pseudo-Jahn-Teller distortion, singlet-triplet crossings, and pressure dependence of the V_B^- center in hBN.
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Predicting co-segregation in multicomponent alloys with solute-solute interactions
An extended dual-solute framework predicts co-segregation bounds in multicomponent alloys by machine-learning pairwise segregation energies that include solute-solute interactions and is validated on magnesium systems.
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Zr-based bulk metallic glass clamp cell for high-pressure inelastic neutron scattering
A Zr-BMG clamp cell delivers higher neutron transmission and clean background for high-pressure INS compared to conventional CuBe cells.
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Optical, vibrational, and electronic properties of semiconducting YbN
YbN thin films are insulating with a 1.7 eV band gap, showing LO and TO phonon modes plus a defect-induced absorption tail indicating the Fermi level lies in a disordered conduction band minimum.
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A critical assessment of bonding descriptors for predicting materials properties
Quantum-chemical bonding descriptors improve machine learning predictions of materials properties and enable symbolic regression to recover intuitive expressions for force constants and thermal conductivity.
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Machine-Learned Force Fields for Lattice Dynamics at Coupled-Cluster Level Accuracy
Machine-learned force fields trained on coupled-cluster potential energy surfaces produce phonon dispersions and vibrational densities of states for solids that agree better with experiment than DFT-based models.
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From Defects to Devices: Design Guidelines for High-Performance Diamond-Based Solar Cells and Single-Dopant Diodes
First-principles modeling shows BVB defects create intermediate bands for solar cells and PV defects enable high room-temperature conductivity via impurity bands in diamond diodes without harming mobility or thermal conductivity.