Kagome metal ScV6Sn6: weak correlations
Mass enhancement ~1.3 and flat spin susceptibility point to electron-phonon coupling as the CDW driver.
· “Magnetism and weak electronic correlations in Kagome metal ScV₆Sn₆”
Computational Physics
All aspects of computational science applied to physics.
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Mass enhancement ~1.3 and flat spin susceptibility point to electron-phonon coupling as the CDW driver.
· “Magnetism and weak electronic correlations in Kagome metal ScV₆Sn₆”
The 13-task benchmark scores 6.3/7 executability at $0.15 per case, versus 0% for the earlier single-pass pipeline.
On a mechanics benchmark, active parameters drop from 1020 to as few as 17 while accuracy holds.
· “Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networks”
Accurate nonlocal functionals become practical for large-scale simulations with accuracy nearly unchanged.
A trained graph model classifies rigidity in milliseconds, but correlated gel networks still defeat it.
A geometric volume-of-fluid method keeps interfaces sharp and stable, so 128x128 runs rival 1024x1024 diffusive solvers.
Stochastic modulation lets flows capture exact and broken lattice symmetries with near-perfect sampling.
· “SESaMo: Symmetry-Enforcing Stochastic Modulation for Normalizing Flows”
Superposing the best measured strings pushes 3-regular MaxCut toward the 0.9326 classical bound.
· “Iterative quantum optimisation with a warm-started quantum state”
A human-AI loop distills 14-layer graphene-WS2 designs into an equation and pinpoints the phonons each parameter blocks.
· “Human-AI collaboration for modeling heat conduction in nanostructures”
A low-rank PSF decomposition corrects coma and barrel distortion in single-metalens cameras.
· “EigenCWD: a spatially-varying deconvolution algorithm for single metalens imaging”
A 1D fractional Ising model makes H_D = q classically, unlocking phase transitions in one dimension
A thermodynamically consistent entropy calculation reconciles the REOS3 and MH13 Jupiter adiabats.
One software package now handles ground states, quench dynamics, and finite-temperature benchmarks against quantum Monte Carlo.
Browser-based tool spans silicon, perovskite, and organic cells with built-in tunneling, exciton, and ion-migration models.
· “SolarDesign: An Online Photovoltaic Device Simulation and Design Platform”
A machine-learning surrogate plus MBAR reweighting keeps energies within 1 meV/atom of AIMD at a fraction of the cost.
Machine-learned tensors reproduce NMR spectra for silica, zeolites, and a phase transition.
· “Graph-neural-network predictions of solid-state NMR parameters from spherical tensor decomposition”
Mode assignment lists simulate partially distinguishable photons with loss at a fraction of the Fock-space size.
· “Simulating imperfect quantum optical circuits using unsymmetrized bases”
First-principles calculations show the altermagnetic metal's anomalous transport is set by the spin-axis orientation.
· “N\'eel vector-dependent anomalous transport in altermagnetic metal CrSb”
RG-inspired flow keeps ESS/N above 80 percent in symmetric and broken phases for 2D phi4.
· “Super-Resolving Normalising Flows for Lattice Field Theories”
All-optical Ising machine samples low-energy states fast, with pump setting the temperature.
· “Emergent Equilibrium in All-Optical Single Quantum-Trajectory Ising Machines”
A fully differentiable JAX pipeline makes mock galaxy maps cheap enough for simulation-based inference.
· “Fast GPU-Powered and Auto-Differentiable Forward Modeling of IFU Data Cubes”
The second WKB field component's phase rises with distance inside the layer, recasting where reflection occurs.
· “Generation of a reflected wave in an inhomogeneous medium”
Sampling projectors whose average is the identity removes truncation bias and shrinks statistical error exponentially.
· “Markov Chain Monte Carlo in Tensor Network Representation”
Goupil simulates environmental radiation from a huge source to a tiny detector while keeping photopeaks intact.
· “Goupil: A Monte Carlo engine for the backward transport of low-energy gamma-rays”
Rebuilt for exascale, a gas-solids simulator matches its predecessor and experiments, with two known outliers.
Unpaired image translation matches speckle reconstructions and stays cleaner when the reference fails.
· “Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations”
A full kinetic burn of shot N210808 matches alpha knock-on neutrons but never reaches the measured 50-60 keV shift.
· “Particle-in-Cell Simulations of Burning ICF Capsule Implosions”
A nightly HEALPix sky map plus precise orbit interpolation matches brute-force detections in a fraction of the time.
Swapping DSMC's simplified surface model for atomistic molecular dynamics in chosen cells cuts mean error from 730% to 4.4%.
· “A Concurrent Multiscale Framework Coupling Direct Simulation Monte Carlo and Molecular Dynamics”
A latent diffusion model pretrained on 2600 velocity models produces starting parameters that beat random and meta-learned initializations.
Harbor Island spills reach seashore and inner bays; offshore releases mostly stay offshore in every scenario modeled.
· “Potential Effects of Loading Terminal Locations on Surface Trajectories of Oil Spill Transport”
On fine grids it runs about twice as fast as explicit time stepping while taking steps roughly 500 times larger.
An energy-embedding layer manufactures trial wavefunctions, so excited states emerge without labeled training data.
· “Energy-Embedded Neural Solvers for One-Dimensional Quantum Systems”
Trained on thermocouple readings alone, it extrapolates to new heat loads and materials with under 1% error.
Two frozen LLM agents pick and check sparse text features, adding interpretable rationales to better predictions.
· “xChemAgents: Agentic AI for Explainable Quantum Chemistry”
Optimising the correlator against CASSCF or FCIQMC references removes the transcorrelated method's bond-stretching artefacts.
Double vs quadruple arithmetic produces different receptivity, growth, and decay in the Taylor-Green vortex.
· “DNS and role of round-off error: Two-Dimensional Taylor-Green vortex problem”
Valence-preserving graph diffusion beats larger rivals on molecular realism with a fraction of the parameters.
Worst-case losses grow with stage count, and the medium boiler's vapor pressure is the decisive property, across three ideal mixtures.
Many-body theory predicts binding 650 times stronger than scattering estimates, and weaker than in benzene.
· “Many-body theory calculations of positron binding to parabenzoquinone”
Verified solvers and conserved quantities for Harris-sheet reconnection with finite Larmor radius effects in one open-source code.
In small groups with q>=3, extra initial support stops raising the odds of full consensus.
· “Modeling biases in binary decision-making within the generalized nonlinear q-voter model”
Method puts 20-year tower-base fatigue reliability at 0.855 and blade-root at 0.864.
Surface CO2 forms carbonic acid at bulk-like speed, adding an extra channel to ocean acidification.
· “CO2 Hydration at the Air-Water Interface: A Surface-Mediated 'In and Out' Mechanism”
Relaxing velocity, pressure, density, and internal energy together keeps momentum and energy exact.
New DMFT-based scheme treats diagonal and off-diagonal disorder on equal footing and widens the metallic window.
· “Auxiliary dynamical mean-field approach for Anderson-Hubbard model with off-diagonal disorder”
When the true mixing law is unknown, the augmented digital shadow cuts both error and uncertainty.
The same deterministic sampler handles stabilizer entropy in 1D and coherence in 2D, where no other efficient algorithm exists.
· “Computing Quantum Resources using Tensor Cross Interpolation”
Rational fits turn the kinetic dispersion relation into a matrix problem for wave accessibility.
· “Developing a Linear Fluid Plasma Model with Accurate Kinetic Bernstein Waves: A First Step”
A controller trained once funnels arbitrary input states to a fixed state, then targets the Hamiltonian's ground state.
· “Machine Learning for Ground State Preparation via Measurement and Feedback”
Sparsified splines become compact symbolic strain-energy laws without losing accuracy or extrapolation.
Open-source package combines LCAO couplings, tight-binding models, and Lindblad noise for fast DNA screening.
Body order four turns star-polymer and methanol CG simulations into quantitative matches of all-atom RDFs and ADFs.
· “Many-Body Coarse-Grained Molecular Dynamics with the Atomic Cluster Expansion”
Conformal prediction on PDE residuals delivers marginal and joint coverage with no ground-truth data needed.
Solvent-mediated vs adsorbed electron transfer in explicit atomistic simulations of the ORR.
Simulations show undamped, inertia-driven walls that keep moving once the drive stops.
· “Undamped Soliton-like Domain Wall Motion in Sliding Ferroelectrics”
Element-loop formulas for edge vectors and dual volumes simplify edge-based solvers and open a route to four-dimensional space-time grids.
· “An Efficient Implementation of Edge-Based Discretization without Forming Dual Control Volumes”
A low-fidelity base model plus two correctors yields accurate surrogates from few high-fidelity samples.
Slower decay with longer waiting time shows a 3D dissipative gas remembers its past velocities.
A dense, low-energy polymorph loses to a looser one once configurational entropy is included.
· “Implications of the multi-minima character of molecular crystal phases onto the free energy”
Even moments stay within 1%; thermal fluctuations shield them from quantum interference.
Library signals teach a mapper to build and cold-start forecasters for short, unlabeled snippets.
· “Tailored Forecasting from Short Time Series via Meta-learning”
Monte Carlo study maps how tensile, compressive, and shear strain change magnetic order in flexible 2D materials.
It recovers dense-matter EoS parameters from mass, radius, and tidal deformability, with uncertainty bands.
· “Explainable autoencoder for neutron star dense matter parameter estimation”
Irrational frequency ratios give a directed momentum current; rational ratios give damped oscillation.
A scale-transformation argument makes classical two-fluid SPH reproduce quantum-like vortex and counterflow behavior.
Code-generated CUDA solver matches CPU results to roundoff and runs 2-4x faster in double precision.
· “Accelerating Numerical Relativity with Code Generation: CUDA-enabled Hyperbolic Relaxation”
A 46.7-billion-point simulation on 3360 GPUs renders boundary-layer turbulence every 100 steps at 42 percent overhead.
With T-move, DLA, or DTM schemes, eleven codes agree to ~3 meV; the old locality approximation spreads ~25 meV.
Joint optimization of coil positions and background fields reaches 0.06 percent field error in four stellarators.
· “Optimization of passive superconductors for shaping stellarator magnetic fields”
Above aspect ratio ~1.3 the mobility slope jumps, then saturates; a logistic fit yields a shape-aware friction law.
· “Effects of particle elongation on dense granular flows down a rough inclined plane”
Direct free-energy minimization with neural-network wavefunctions finds a solid where simulations had predicted liquid.
· “Deep variational free energy prediction of dense hydrogen solid at 1200K”
It also steers crystal symmetry, so users can request a target point group for inverse materials design.
The binless method matches reported microsecond unfolding rates using only nanosecond-scale cumulative simulation time.
Trained on computed spectra, the model transfers to real X-ray and electron energy-loss maps of battery cathodes
· “Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy”
Fine grains at the surface preserve traction accuracy while cutting particle count and solver time.
· “Local particle refinement in terramechanical simulations”
Best open-source model trails at 56 percent, setting a baseline for fine-tuning open models.
Evolving CoK-PCA manifolds in time captures ignition-zone species and heat release rate better than PCA.
Shape optimization that spans Knudsen numbers from 0.001 to 10 and converges in about a dozen steps.
· “Adjoint shape optimization from the continuum to free-molecular gas flows”
Pick the algebra to match the question; one tensor network then counts, ranks, and samples solutions.
· “Programming guide for solving constraint satisfaction problems with tensor networks”