Theorizing competition: An interdisciplinary framework. [PDF]
Altreiter C +4 more
europepmc +1 more source
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
Development and Evaluation of a Deep Learning Model for Ovarian Cancer Histotype Classification Using Whole-Slide Imaging. [PDF]
Pulido D, Arias-Mendoza N.
europepmc +1 more source
Additive Manufacturing of Ordered Polymer Nanostructures
A new 3D printing strategy, Polymerization‐Induced Arrangement of Nanostructures with Order‐tunability (PIANO), enables the formation of ordered nanostructures in polymer materials by enhancing chain mobility during photopolymerization, overcoming the kinetic arrest that leads to disordered morphologies in the conventional Polymerization‐Induced ...
Di Wu +6 more
wiley +1 more source
Transformer-enhanced deep ensemble for multi-class liver disease classification using computed tomography images. [PDF]
Bhardwaj S +5 more
europepmc +1 more source
Lead Halide Perovskite Photoelectrocatalysis
Lead halide perovskite semiconductors have emerged as highly promising materials for solar fuel and chemical synthesis. This perspective discusses advances made in the rational photoelectrode design to improve solar‐to‐chemical conversion, product scope, and scalability.
Virgil Andrei
wiley +1 more source
Deep learning driven colorectal polyp analysis: a review of detection, classification and segmentation methods. [PDF]
S D, M S.
europepmc +1 more source
Advances in Magnesium‐Based Thermoelectrics: A Critical Review
Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang +5 more
wiley +1 more source
Innovative Multi-View Strategies for AI-Assisted Breast Cancer Detection in Mammography. [PDF]
Abdikenov B +4 more
europepmc +1 more source
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source

