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.
A mixture model with adaptive KDE and per-image cross-validation raises estimated human fixation consistency by 5-15% median log-likelihood and up to 2 AUC points over fixed-bandwidth Gaussian baselines.
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Fast-Food Intimacy: How Chinese Women Navigate Soul's AI Boyfriend
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.
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A Roadmap of Mixed Reality Body Doubling for Adults with ADHD
A 12-dimensional framework for mixed reality body doubling that maps motivation, agent, interaction, context, and efficacy factors to guide research on ADHD task support.
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Emergent Technology, Emergent Critique: Students and Teachers Developing Critical AI Literacy through Participatory Design around Generative AI
Participatory design with high school students and teachers around generative AI produced three practices for critical AI literacy: unsettling assumptions, mutual learning via complementary expertise, and grounding critique in cultural knowledge and creative practice.
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The Effect of Idea Elaboration on the Automatic Assessment of Idea Originality
LLM originality raters exhibit self-preference bias toward artificial responses that disappears after controlling for idea elaboration in the Alternate Uses Task.
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Privacy Perceptions in Sensor-Powered Smart Vehicle Cabins
Semi-structured interviews with 18 participants identify both shared and group-specific factors shaping privacy preferences of vehicle owners versus non-owners in smart cabins.
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Towards Low-Cost Low-Power Activity-Aware Soil Moisture Sensing Platform for Large-scale Farming
A solar-powered battery-free soil moisture sensing platform costing under $35 per node uses vehicle-mounted basestations to enable scalable, persistent data collection across large farms.
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Understanding Password Preferences, Memorability, and Security through a Human-Centered Lens
Eye-tracking shows visual attention to contextual cues during password creation correlates with higher entropy, even as users favor self-generated passwords over stronger AI-generated alternatives.
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Shaping Plant-Like Shape-Changing Interfaces as Vertical Charts: Maximizing Readability, Aesthetics, and Naturalness
Physical plant-like shape-changing charts deliver promising readability and superior naturalness for environmental data, enabling public installation without explanations when folded shapes encode rates from zero to a maximum value.
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Towards Designing for Resilience: Community-Centered Deployment of an AI Business Planning Tool in a Small Business Center
An AI business planning tool deployed in community workshops lowers barriers to capital access but requires peer support to preserve sensemaking and build collective resilience in AI use.
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Enhance Comprehension of Over-the-Counter Drug Instructions for the General Public and Medical Professionals through Visualization Design
Tailored visualizations for OTC drug instructions improve response time and usability over text-only formats for both lay users and professionals, supported by a new taxonomy and generalizable design workflow.
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Twitch Third-Party Developers' Support Seeking and Provision Practices on Discord
Twitch third-party developers' support practices on Discord create platform labor via dependence on Twitch, cross-platform switching, and the need for bridging roles between informal community help and formal platform channels.
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RoboBlockly Studio: Conversational Block Programming with Embodied Robot Feedback for Computational Thinking
RoboBlockly Studio integrates block programming, AI conversation, and robot execution to create a feedback loop that supports student agency, transparency, and reflection in computational thinking education, as tested with 32 high school students.
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Exploring Instant Photography using Generative AI: A Design Probe with the UnReality Camera
The UnReality Camera augments instant photos with generative AI from spoken input, and a design probe found users balancing artistic control with appreciation for unpredictability, suspense during printing, and ownership from the physical form.
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Exploring the Feasibility and Acceptability of AI-Mediated Serious Illness Conversations in the Emergency Department
A voice-based AI conversational agent for serious illness conversations in the ED was feasible and acceptable to most of 55 patients, with comparable feeling-heard ratings to clinicians but with risks of hallucinated diagnostic statements.
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Comparative Analysis of Human vs. AI-powered Support in VRChat Communities on Discord: User Engagement, Response Dynamics and Interaction Patterns
Comparative study of VRChat Discord finds distinct engagement, response dynamics, and attitudes in human versus AI support channels.
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Refresher Training through Digital and Physical, Card-Based Game for Accredited Social Health Activists (ASHAs) and Anganwadi Workers (AWWs) in India
A quasi-experimental study with 368 participants found that a combined physical card-based and digital game significantly improved knowledge gain and retention of child immunization practices among ASHAs and AWWs in India.
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Enabling users to work sustainably on shared institute computing resources
VISPA adds voluntary energy monitoring, green-window job scheduling, and user feedback systems to a physics cluster to cut greenhouse-gas emissions through greater resource awareness.
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Mapping Child Malnutrition and Measuring Efficiency of Community Healthcare Workers through Location Based Games in India
A location-based game significantly improved measuring efficiency and retention among community healthcare workers collecting child anthropometric data compared to standard methods.