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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Electrically-injected room-temperature waveguide polariton laser
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.
-
Ultrafast Magneto-Pressure Spectroscopy and Control of Correlated Phases in a Trilayer Nickelate
A magneto-pressure ultrafast spectroscopy platform shows pressure collapse of CDW order and possible non-bulk superconducting correlations in Pr4Ni3O10 via quasiparticle relaxation dynamics.
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Quantum and classical processing with photonic quantum machine learning
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.
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Discovery of Sparse Invariant Subgrid-Scale Closures via Dissipation-Controlled Training for Large Eddy Simulation on Anisotropic Grids
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.
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Conditional Score-Based Modeling of Effective Langevin Dynamics
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.
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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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Operator algebra and algorithmic construction of boundaries and defects in (2+1)D topological Pauli stabilizer codes
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.
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Demonstration of a compact optical resonator-based displacement sensing technique with sub-femtometer precision
A centimeter-scale dynamic optical cavity with heterodyne readout achieves sub-femtometer per square root Hertz displacement sensitivity above 8 Hz and tracks motions over ten orders of magnitude in range.
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Generalised Symmetries and Swampland-Type Constraints from Charge Quantisation via Rational Homotopy Theory
Refines charge quantization via homotopy type A whose homotopy groups classify brane charges and homology groups classify higher-form symmetries, deriving swampland-like constraints that rule out noncompact gauge groups and non-nilpotent Lie algebras for field strengths.
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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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N-fold topological mode replication in hierarchical honeycomb lattices
Hierarchical resonators in quantum spin Hall lattices replicate the fundamental topological mode n-fold in frequency while preserving its spatial profile and suppressing crosstalk.
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Seniority-zero Quadratic Canonical Transformation Theory
SZ-QCT relaxes the small-generator limit of prior seniority-zero methods by retaining approximate four-body operators, yielding sub-millihartree accuracy for strongly correlated systems at O(N^8) scaling.
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Accurate starting points for one-shot $G_0W_0$ and Bethe-Salpeter Equation calculations via effective tuning of range-separated hybrid functionals
Effective tuning of range-separated hybrid functionals supplies accurate starting orbitals for one-shot G0W0 and BSE calculations that match reference ionization potentials and neutral excitation energies across molecules and clusters.
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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.
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Engineering Multi-wavelength Emission in All-Fiber Laser Mode-Locked Through Nonlinear Polarization Rotation
A compact all-fiber ring laser mode-locked by nonlinear polarization rotation supports stable, reversible single- to seven-wavelength emission with birefringence-controlled channel selection.
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Correlated Quantum Phenomena in Confined Two-Dimensional Hexagonal Crystals
Quantum confinement in 2D hexagonal crystals like graphene and TMDs produces discrete electronic and excitonic spectra with strongly amplified interactions that enable correlated quantum states.
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Dynamic properties in a collisional model for confined granular fluids. A review
The Δ-model adds a fixed Δ to collision velocities in vibrated granular fluids to enable Enskog kinetic theory predictions of temperature, equation of state, Navier-Stokes coefficients, mixture nonequipartition, and unconditional stability of homogeneous states.