A Sparse Hierarchical <i>hp</i>-Finite Element Method on Disks and Annuli. [PDF]
Papadopoulos IPA, Olver S.
europepmc +1 more source
Architected Inverse Nacre Hydrogels With High Strength and Crack‐Insensitive Toughness
Hydrogels hold promise for biomedical and engineering applications, yet their practical use is fundamentally limited by the strength‐toughness trade‐off and poor fatigue resistance. In this study, a bioinspired inverse nacre architecture constructed via a scalable thermo‐calendering process is introduced, which overcomes these classic limitations ...
Haidi Wu +10 more
wiley +1 more source
Understanding the Impact of Individual Nucleotide on Oxford Nanopore Current Signals With Interpretable Prediction Models. [PDF]
Wang Y, Wu Z, Meng J.
europepmc +1 more source
Isosteric Substitution Enables Rational Design of Two‐Dimensional Energetic Crystals
Isosteric substitution transforms a classical nitro–amine motif into two‐dimensional aminofurazans with performance beyond TATB. ABSTRACT Two‐dimensional (2D) energetic crystals dissipate mechanical insult via interlayer slip, yet their molecular design space remains narrow.
Linyuan Wen +6 more
wiley +1 more source
Non-parametric Regression Among Factor Scores: Motivation and Diagnostics for Nonlinear Structural Equation Models. [PDF]
Grønneberg S, Irmer JP.
europepmc +1 more source
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source
Reduced rank regression for mixed predictor and response variables. [PDF]
de Rooij M, Cotugno L, Siciliano R.
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Reassessing the foundations of metric-affine gravity. [PDF]
François J, Ravera L.
europepmc +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source

