A fluoride-assisted strategy improves perovskite nanocrystals embedded in glass, enabling stable, high-efficiency full-spectrum emission, including record blue performance. The material supports tunable RGB output under a single excitation source. Integrated with holographic techniques and spatial light modulation, it achieves ultra-high pixel density (~20,000 PPI). A vertically stacked RGB design further enhances light utilization and resolution, offering a promising route toward energy-efficient, next-generation multicolor display technologies.

This first systematic review on Quality by Design (QbD) in nanocosmetics analyzed 52 original articles, identifying particle size (94.2%), polydispersity index (76.9%), and zeta potential (75%) as the most frequent Critical Quality Attributes. Surfactant concentration or type (46.1%) dominates Critical Material Attributes, while sonication time (15.4%) is the leading Critical Process Parameter. Design of Experiments is widely used, but advanced process controls such as Process Analytical Technology, continuous manufacturing, and real-time release testing remain underexplored. Systematic QbD application can bridge lab-to-industrial gaps, enabling safer and more effective nanocosmetic products.

The use of a quantum-inspired algorithm to calculate the unworkably vast potential properties of quantum materials is an early example of how quantum technology can be used to improve itself.

Recent advances in high-throughput proteomics enable the measurement of thousands of proteins simultaneously, offering unprecedented insight into human health and disease. A new review summarizes how proteomic technologies, combined with artificial intelligence, are transforming biomarker discovery, disease prediction, and drug development, highlighting their growing role in advancing precision medicine.

Printed artificial neurons generate realistic brain-like signals that activate living neurons. Device uses flexible, low-cost electronic inks instead of rigid silicon fabrication. Approach could lead to bioelectronics that communicate directly with the brain and energy-efficient, brain-inspired computing.

Peer-reviewed study confirming strong predictive performance of patient-specific lung digital twins, validated against clinical imaging data

Whole-lung, physics-based modeling enables locally resolved prediction of drug deposition, addressing a central challenge in inhaled drug development

Validated lung digital twin technology forms the foundation of Ebenbuild’s platform applications, supporting translational research today and regulated clinical use in the future

Previously known as Food and Ecological Systems Modelling Journal (FESMJ), the now rebranded journal, Agricultural and Environmental Modelling (AEM), expands its scope and deepens its Open Science commitment, offering a publishing platform to cover the full lifecycle of agricultural, food systems, and environmental modelling research.