Aeronáutica y espacio

Range-Aware Bayesian Optimization for Discovering Diverse Designs within Target Property Windows
- In many materials and product design problems, desirable candidates exhibit properties that fall within an acceptable range rather than achieve a single optimum. Recovering multiple, distinct...
Coupling Complementary Simulations for Combined Performance and Energy Optimization
- Polymer simulations are among the most computationally demanding workloads in soft-matter research, often requiring days of execution and high energy consumption to achieve physically meaningful...
Bridging nanoparticle morphology and viscoelastic behavior in epoxy nanocomposites: A coarse-grained simulation-informed constitutive model
- Accurate prediction of the material behavior of polymer nanocomposites under various thermomechanical loading conditions is increasingly demanded for engineering applications. This study proposes an...
Detective scaffolding for within-session reasoning development: a three-phase framework evaluated in polymer engineering and pre-university outreach
- This paper presents a detective scaffolding framework -- a three-phase instructional sequence (Hypothesis Activation -> Evidence Structuring -> Causal Integration) in which engineering students...
Fast and perfect sampling of subgraphs and polymer systems
- We give an efficient perfect sampling algorithm for weighted, connected induced subgraphs (or graphlets) of rooted, bounded degree graphs. Our algorithm utilizes a vertex-percolation process with a...
Decision-Aware Evaluation of Physics-Informed Surrogates
- Physics-informed machine learning is often assessed by curve error, although engineering use depends on downstream decisions: ranking candidates, avoiding infeasible designs and limiting regret. We...
Multi-Scale Feature Attention Network for Polymer Classification using THz Dual-Comb Spectroscopy
- Reliable polymer identification is essential for ensuring the quality and safety of recycled plastics, yet conventional sorting and spectroscopic techniques often struggle to deliver robust...
Learning Permutation-invariant Macroscopic Dynamics
- Accurately modeling the macroscopic dynamics of high-dimensional microscopic systems is of broad interest across the sciences. Many data-driven approaches learn a low-dimensional latent state through...
Periodic Topological Deep Learning for Polymer Design and Discovery
- Polymers underpin applications across energy, healthcare, and materials science, yet their vast chemical space makes systematic discovery challenging. Most machine learning approaches represent...
PolyFusionAgent: A Multimodal Foundation Model and Autonomous AI Assistant for Polymer Property Prediction and Inverse Design
- Polymer discovery is central to fields ranging from energy storage to biomedicine, but it is hindered by an astronomically large chemical design space and fragmented representations of structure,...
Data-Driven Structural Health Monitoring of Short Carbon Fiber-Reinforced Polymer Composites via Multiphysics Phase-Field Simulation
- Short carbon fiber-reinforced polymer (SCFRP) composites exploit the intrinsic conductivity of the carbon fiber network for self-sensing, yet no predictive model couples their anisotropic,...
GreenSeg: Ground Segmentation Algorithm for Agricultural Robots in Mediterranean Greenhouses using RGB-D Point Clouds
- Greenhouse agriculture in the Mediterranean region faces significant automation challenges due to its unique structural and environmental constraints. These environments are characterized by...
Learning regime-dependent governing equations: A symbolic decision tree approach
- Many chemical engineering systems are governed by mechanisms that switch across operating regimes, making the data-driven discovery of regime-dependent governing equations essential for predictive...
The influence of added components on light and color characteristics of an LED luminaire
- The paper studies the influence of additional structural elements on the light and color characteristics of an LED luminaire. The main attention is paid to the analysis of the role of specialized...
Achieving Material Robustness via Symmetric Stress Finite Element Discretizations
- When discretizing symmetric stress tensors in variational problems arising in continuum mechanics, one has to choose how to enforce the symmetry of the stress tensor: (i) strongly by requiring the...
WaveGraphNet: Physics-Consistent Guided-Wave Damage Localization through Coupled Inverse-Forward Graph Learning
- Guided-wave structural health monitoring enables damage localization in composite plates using sparse networks of bonded piezoelectric transducers. However, inferring the spatial location of defects...
MoleCode unlocks structural intelligence in large language models
- Molecules are graphs, but large language models~(LLMs) are usually asked to reason about them through linear strings. The most popular molecular representation, SMILES, compresses atoms, bonds,...
OSSMM: An Open-Source Sleep Monitor and Modulator
- We present the Open-Source Sleep Monitor and Modulator (OSSMM), an open-source hardware and software platform for accessible sleep research. The OSSMM comprises a small wearable headband built from...
This popular fermented food may help flush microplastics from the body
18/05/2026 - Scientists in South Korea have discovered that a probiotic bacterium found in kimchi may help the body flush out tiny plastic particles before they can build up in organs. In lab tests, the...