SLayerGen generates crystals invariant to any space or layer group via autoregressive lattice and Wyckoff sampling plus equivariant diffusion, achieving gains over bulk models on diperiodic materials after correcting a prior loss inconsistency for hexagonal groups.
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Pattern Recognition 127 (2022), 108611
Canonical reference. 75% of citing Pith papers cite this work as background.
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Every proper minor-closed graph class admits an optimal (1+o(1)) log n bit adjacency labeling scheme.
A directed weighted two-graph model separates feasibility from movement in solution discovery and yields a detailed complexity classification for path and shortest-path discovery.
The method reformulates ALE mesh motion as independent multi-patch spline parameterizations per time step, using barrier functions, tangential-slip reparameterization, and constant-preserving quasi-interpolation to enable large-rotation FSI simulations.
Superconductivity in high-pressure MnB4 is induced by altermagnetic spin fluctuations, yielding extended-s pairing symmetry.
A new qubit-efficient HUBO encoding for graph partitioning problems like minimum coloring uses logarithmic bits and a lexicographic penalty to cut resources while providing provable optimality conditions.
GHGbench is a new multi-entity benchmark for company- and building-level carbon emission prediction that shows building tasks are harder, out-of-distribution gaps dominate, and multimodal data aids generalization.
A flow-adaptive ergodic coverage formulation using MMD that preserves guarantees over evolving domains and supports open-loop planning for robots in flows.
IfcLLM combines relational and graph representations of IFC models with iterative LLM reasoning to deliver 93.3-100% first-attempt accuracy on natural language queries across three test models.
Introduces the Mechanism Plausibility Scale to distinguish generative sufficiency from mechanistic plausibility in LLM-based agent-based models.
Human face perception aligns with neural networks trained on inverse-generative and naturalistic discriminative tasks, as these best predict human dissimilarity judgments on controversial and random face pairs.
A geometry-aligned bi-fidelity surrogate maps low- and high-fidelity wildfire solutions to a common domain for improved reduced-basis reconstruction, lower error near fronts, and practical uncertainty quantification.
A non-trivial UV fixed point for the scalar matter form factor exists in asymptotically safe quantum gravity, with a discrete spectrum of critical exponents and infrared locality restored.
MulTaBench is a new collection of 40 image-tabular and text-tabular datasets designed to test target-aware representation tuning in multimodal tabular models.
Statistical model checking on the K+S model shows macro-financial and structural parameters produce stronger transient effects on unemployment and GDP growth than heuristic-rule parameters under fixed precision policies.
A differentiable physics engine inside a neural network discovers non-Hertzian asperity shapes that produce programmable nonlinear friction-area relations, validated by BEM simulations.
Users experience fast-food intimacy with Soul's AI boyfriend that conflicts with gradual cultural expectations, introduces technical uncertainty, and shifts emotional labor onto women.
A dual-polarity representation in Ising/QUBO models enables computation of short SAT implicants by treating some variables as unassigned, with parameter regimes guaranteeing minimality.
ProtoSSL discovers generalizable prototypes from unlabeled time-series via self-supervision and assigns them to new tasks for interpretable predictions, outperforming supervised baselines in low-data regimes on ECG datasets.
Electrochemical reduction of hydrogen-capped polyynes yields stable amorphous sp-sp2 carbon nanoparticles with tunable diameters, >60% retained sp fraction, and ambient stability exceeding six months.
A physics-aware meta-learning framework retrieves coastal biogeochemical parameters from hyperspectral Rrs by pretraining a base model on synthetic data from a bio-optical forward model and fine-tuning on regional in situ samples, outperforming benchmarks with good temporal agreement.
Establishes the Riesz property for spectral projections of the multi-dimensional harmonic oscillator, Landau Hamiltonian, and Laplace-Beltrami operator on a sphere perturbed by complex L^r potentials when d/2 < r < infinity.
Researchers derived 19 design guidelines for AI-supported adult learning from thematic analysis of real deployments and demonstrated their use via heuristic evaluation and an ideation tool.
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citing papers explorer
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SLayerGen: a Crystal Generative Model for all Space and Layer Groups
SLayerGen generates crystals invariant to any space or layer group via autoregressive lattice and Wyckoff sampling plus equivariant diffusion, achieving gains over bulk models on diperiodic materials after correcting a prior loss inconsistency for hexagonal groups.
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Charge-Transfer Induced Reactivity in sp Carbon Atomic Wires: Towards 0-D sp-sp2 Nanostructures
Electrochemical reduction of hydrogen-capped polyynes yields stable amorphous sp-sp2 carbon nanoparticles with tunable diameters, >60% retained sp fraction, and ambient stability exceeding six months.
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Dynamic Mechanical Response of Spinodal Architectures Across Length and Time Scales
Macroscale spinodal structures exhibit inertia-driven tenfold strength increase at high strain rates unlike microscale counterparts governed by constituent material sensitivity, with regime maps showing length-scale dependence analogous to fluids.
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Microscopic contributions to the deviation from Amontons friction law
MD simulations with ML force fields reveal non-monotonic friction-load curves in MX2/metal heterostructures arising from coexistence of longitudinal, lateral-slip, and zig-zag sliding modes.
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Quantum Limits of Electronic Transport in Nanostructured Macroscopic Conductors
Junction-level quantum interference governs magnetotransport in disordered low-dimensional networks, with positive MR tied to overlap length and negative MR to lattice-mismatched heterojunctions.
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Data-Driven Thermal and Mechanical Modeling of Defective Covalent Organic Frameworks
QCOF ML potentials tuned on COF data outperform general MACE models for defective systems and reveal higher thermal defect sensitivity in CTF-1 versus COF-LZU1 with nearly invariant low-strain mechanics.
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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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Damage dose dependence of deuterium retention in high-temperature self-ion irradiated tungsten
Deuterium retention in 1350 K self-ion irradiated tungsten rises with damage dose to 1.7 at.% at 2.3 dpa without saturation, driven by nm-sized voids that trap D2 gas inside and D atoms on their surfaces.
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Influence of Heterogeneity on the Response of Architected Metamaterials
Stochastic material heterogeneity modeled with Gaussian random fields in a nonlocal framework fundamentally changes phase nucleation, localization, and macroscopic mechanical response in architected metamaterials.
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On stress-assisted boundary migration during recrystallization
Recrystallization boundary migration in high-purity Al is modulated by the anisotropy of local internal stress states, with no observed shear-coupled motion.
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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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Plastic deformation of B19' martensite where -- where it matters in NiTi technology
Kwinking is the mechanism enabling high plastic deformability of B19' martensite in NiTi and rationalizes nine classes of historical observations in the material's technology.
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Oxygen-Mediated Phase Evolution in Sputtered Cu-W-O: Insights into Surface Chemistry Variability
Varying oxygen partial pressure during sputtering of Cu-W-O films produces either pure CuWO4 or CuWO4 plus Cu3WO6 mixtures, with XPS revealing Cu surface segregation and initial-state electronic structure shifts rather than final-state screening changes.