From atoms to reactors, new modeling approach could sharpen catalyst design

In a recent article, researchers from the University of Jyväskylä, Finland, emphasize the importance of multiscale modeling of catalysis in understanding and developing (electro)chemical processes.
eLife

Defining the Antigenic Topology and Prospective Binding Breadth of Vaccination-induced SARS-CoV-2 Neutralizing Antibodies

This manuscript provides valuable high-resolution structural insights into the interaction between vaccine-elicited antibodies and SARS‑CoV‑2 evolution. The evidence is solid; however, the conclusions ...
IEEE

A Conditional Gaussian Mixture Model-Guided Transformer for Soft Sensing in Multicondition Industrial Processes

Abstract: Soft sensing technology plays a crucial role in the real-time monitoring and optimization of key industrial variables. Recently, Transformers have emerged as a promising tool for soft sensor ...
IEEE

Uncertainty-Aware PCA for Arbitrarily Distributed Data Modeled by Gaussian Mixture Models

Abstract: Multidimensional data is often associated with uncertainties that are not well-described by normal distributions. In this work, we describe how such distributions can be projected to a ...