EurekAlert!

Solid-state ionics: Review article reveals structural blueprint for superionic conductors

A 2024 review by Sau, Orimo, and co-workers reveals universal design principles for fast ion conductors by organizing ...
The Coronado Eagle & Journal

Learning By Doing: The Engineering Pathway At CHS

I think I’m gonna do aerospace engineering,” Senior Kylie Peterson said about her future career. “I also like quantum physics, which is a lot of engineering [as well].” ...
Nanowerk

Machine Learning model predicts protein binding on gold nanoclusters for biomedicine

A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design ...

Machine learning model predicts protein binding on gold nanoclusters

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Neel Somani on How Privacy-Preserving Machine Learning Is Changing the Digital Landscape

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
EurekAlert!

Machine Learning Model predict protein binding on gold nanoclusters - Opens doors for next-generation biomedical nanomaterials

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Inside Higher EdOpinion

Stop Making Bad Research Posters

Research posters should be more than academic advertisements—or, conversely, overwhelming data dumps that attempt to compress ...

Why Corporate Learning Is Failing, And The Neuroscience That Could Fix It

According to the LEADx Leadership Development Benchmark Report 2025, the majority of leadership development teams still ...
IEEE

Deep Learning Assisted Inverse Design of High-Power Microwave Devices

Abstract: To expedite the design of high-power microwave (HPM) devices, we developed a knowledge forward network (KFN) which will be trained using a specially generated dataset obtained through the ...
IEEE

Graph Attention Network-Based Unified TCAD Modeling Enabling Fast Design Technology Co-Optimization Through Transfer Learning

Abstract: An innovative framework that leverages artificial intelligence (AI) and graph representation for semiconductor device encoding in TCAD device simulation is proposed. A graph-based universal ...