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.
-
On the Symplectic Propagation of the Spin-MInt Algorithm for Non-Adiabatic Quantum 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.
-
A Convex Quasilinearization Method for Solving Nonlinear PDEs with Physics-Informed Neural Networks
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 network compression using fluid dynamics as a testbed: Analytical foundations in one dimension
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.
-
Fast Reconstruction of Exact Maxwell Dynamics from Sparse Data
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.
-
How Fusion-Born Alpha Particles Suppress Microturbulence in Burning Plasmas
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.
-
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.
-
Magnetic Brightening and Nanoscale Imaging of Spin-Polarized Helical Edge Modes
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.
-
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.
-
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.
-
A Fast Spectral Formulation of the Multiscale Proper Orthogonal Decomposition
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 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.
-
Geometric QCD II: The Confining Twistor String and Meson Spectrum
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.
-
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.
-
Design and Realization of Broadband Magnonic Spectrometers With Local Electrical Outputs
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.
-
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.
-
Substitution-Based Analysis of Structural Novelty for Generative Models of Materials
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.
-
Flow mechanisms governing oscillation in a sonic fluidic oscillator
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.
-
On the Structure and Stability of Boundary Mixed Steady States in Evolutionary Games on Networks
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.
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Impact of energetic alpha particles on core turbulence in an ARC-class fusion power plant
CGYRO simulations find alpha particles suppress core turbulence in ARC tokamak via multiscale effects and raise the ITG critical gradient nonlinearly.
-
Arch\^e, an orbital-free molecular dynamics code for fast production of equations of state
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.
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Stein Kernelized Molecular Dynamics for Active Learning of Interatomic Potentials
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.
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Reduced Order Model for a Convective Rotating Annulus with Localized Forcing
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.
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Ultra-Low-Noise Brillouin Hybrid Synthetic Laser for Sub-Hertz Lattice Clock Spectroscopy
Hybrid cryogenic-cavity plus chip-scale Brillouin laser delivers <1 Hz linewidth and 0.2 Hz²/Hz noise above 10 MHz, enabling sub-Hz spectroscopy in a 3D 87Sr clock.
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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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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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On-Chip Interferometric Excitation of an Infinity-Loop Microresonator
An on-chip interferometric excitation method for infinity-loop microresonators enables phase-controlled doubling of circulating optical power in linear and nonlinear regimes.
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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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Superelastic Heating in Treanor-Gordiets Plasmas: A Unified Analytic Closure
A thermodynamically consistent analytic closure with an anharmonic correction factor recovers state-to-state benchmark accuracy for superelastic heating in Treanor-Gordiets plasmas.
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Interpretable Kolmogorov-Arnold Network with Feature-Isolated Temporal Attention Mechanism for Electricity Load Forecasting
LoadKAN combines feature-isolated temporal attention with KAN to produce competitive load forecasts on three U.S. markets and enables quantitative analysis of non-linear mobility-load relationships via learned activation functions.
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Quasi-one-dimensional motion of an active MXene sheet driven by chemo-hydrodynamic waves
Chemo-hydrodynamic waves drive the quasi-1D self-propulsion of an asymmetrically catalase-coated MXene sheet in H2O2, with the driving force identified as surface shear stress from the waves.
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Deep Learning Surrogates for Emulating Stochastic Climate Tipping Dynamics
A dynamics-informed Temporal Fusion Transformer surrogate emulates stochastic tipping events in global ocean transport simulations with 465x speedup and high-fidelity timing predictions.
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The impact of observation density on Bayesian inversion of latent dynamics in shock-dominated flows
A latent-space reduced-order model using autoencoders and learned dynamics enables Bayesian recovery of initial density and pressure in Sod shock tube simulations, with posterior uncertainty contracting substantially as observation density increases.
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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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Model synthesis and identifiability analysis of stiff chemical reaction systems with inVAErt networks
Neural emulators and inVAErt networks enable fast forward modeling of stiff chemical kinetics and recovery of non-identifiable reaction-rate manifolds from species concentrations.
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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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Temperature in Glass Slides: measurement using Phase Sensitive Optical Coherence Tomography and Computational Modeling
PhS-OCT measures temperature in soda-lime glass slides via optical path difference with 12.4 nm/°C sensitivity, matching thermo-optic models and finite-volume simulations within 5%.
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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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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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Stochastic simulation of partial discharge inception
Monte Carlo method simulates electron avalanches with feedback to estimate discharge inception probability and time lag per initial electron position across 2D and 3D electrode geometries.
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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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Machine Learning Interatomic Potentials: Advancing Open-Source Software for Efficient and Scalable Molecular Simulation
mlip v2 is a new software release that integrates API redesign, e3j backend, eSEN model, improved charge modeling, and expanded simulation capabilities to support larger-scale molecular modeling.
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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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Long range proximity effects in planar structures involving the halfmetal ferromagnet La0.7Sr0.3MnO3 and Pt interlayers
Zero-resistance states are reached at 2 μm electrode spacing in LSMO nanostrips with NbTi/Pt electrodes, indicating long-range triplet proximity effects.
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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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Device-scaling constraints imposed by the van der Waals gap formed in two-dimensional materials
Quantification of vdW gap trade-offs in 2D transistors reveals scaling limits for insulators and contacts, with zipper-like interfaces proposed to remove the gap.