Enhancing Specific Stiffness of Nano‐Architected Materials Through Generative AI and Active Learning
A structure‐centric generative framework searches voxelated design space directly, coupling a variational autoencoder with multi‐objective optimization and active learning to progressively expand the validated design domain. The discovered nano‐architectures, realized as pyrolytic carbon by two‐photon lithography, deliver 18–23% higher stiffness and 26–
Jinwook Yeo +4 more
wiley +1 more source
A Genetic Algorithm-Optimized Kernel Density Estimation and D-S Evidence Fusion Classification for Predicting the Stability of Double Perovskite Materials. [PDF]
Liang G, Zhang J.
europepmc +1 more source
Immune Biomarkers of Islet Transplant Rejection Revealed by Synthetic Immunological Niche
A subcutaneous synthetic immunological niche (IN) enables serial, minimally invasive monitoring of immune responses after islet transplantation. Flow cytometry and transcriptomic profiling of the IN reveal immune‐cell programs associated with graft acceptance and distinct types of rejection.
Jyotirmoy Roy +8 more
wiley +1 more source
A Fractional-Derivative Multi-Kernel Adaptive Learning Approach for Remaining Useful Life Prediction of Rotating Machinery. [PDF]
Pan L, Xu J, Peng L, Bi D, Xie Y.
europepmc +1 more source
Massively Multiplexed Photonic Chip With Cross‐Channel Fusion For Harmonized Biosensing
We introduce a transformative sensing platform integrating photonic multiplexing with over 10 000 sensors and a deep‐learning framework that combines domain adaptation and cross‐channel fusion for harmonized operation across heterogeneous chips. The platform achieves 99.3% identification accuracy and relative prediction errors of 10−4$^{-4}$ for ...
Ivan Saetchnikov +3 more
wiley +1 more source
From Common Information to Canonical Correlation Analysis and Beyond: Bridging Information Theory, Signal Processing, and Machine Learning. [PDF]
Karakasis PA, Saad W.
europepmc +1 more source
LLM‐Assisted Design of Ultralow‐κ$\kappa$ Chalcogenides
An AI assisted, physics guided workflow accelerates the discovery of ultralow thermal conductivity materials by combining Bayesian optimization, evidence conditioned LLM reasoning, and automated physics‐based validation. The framework uncovers dynamically stable Ag based chalcogenides with ultralow thermal conductivity and promising thermoelectric ...
Yujie Liu +9 more
wiley +1 more source
RCI is associated with functional suppression of oxytocinergic neurons in the PVN. Reduced PVNOXT neuronal activity contributes to altered sympathetic regulation involving the IML–sympathetic chain pathway, accompanied by changes in norepinephrine signaling at the BTI.
Liyang Wan +8 more
wiley +1 more source
Unsupervised Feature Selection via Self-Supervised HSIC and Elastic Net Regularization. [PDF]
Chen Y, Wang T, Zou L.
europepmc +1 more source
Based on a multi‐omics cohort of 2002 individuals comprising high‐depth whole‐genome and metagenomic sequencing data, blood metabolites, and detailed questionnaires, we identified 138 859 high‐confidence SVs, uncovering 36 significant SV–microbiome associations and 48 SV–blood metabolite associations.
Qun Zhou +13 more
wiley +1 more source

