C&EN

Modular syntheses: Putting function first

And Schafmeister isn’t the only chemist turning to modular methods of synthesis to explore vast regions of chemical space. It ...
AZoNano

Researchers Propose Eco-Nanozymology to Power Greener Energy and Pollution Cleanup

This review proposes eco-nanozymology as a framework for designing nanozymes that act as catalytic regulators in energy conversion, pollutant degradation, biomass valorization, and biogeochemical ...
AZoM

Berkeley Lab Uses Advanced Machine Learning to Optimize Chiral Perovskites

Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...
Fabbaloo

Deep Learning Spots 3D Print Defects In Process

A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.
IEEE

Differential High Order Control Barrier Function-Based Safe Reinforcement Learning

Abstract: Safe reinforcement learning (RL) aims to learn policy while also ensuring the safety constraints. An increasingly common approach is to design a safety filter based on control barrier ...
IEEE

Federated Scientific Machine Learning for Approximating Functions and Solving Differential Equations With Data Heterogeneity

Abstract: By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs) ...
International Banker

Rethinking Bank Risk: From Control Functions to Strategic Resilience

The nature of risk is undergoing a structural shift in the global banking industry. Traditional categories, such as credit, market, liquidity and operational risk, remain essential, but they no longer ...