AI framework could speed battery, combustion and materials research by automating simulations

Computers have made it easier than ever before to design the perfect material for a given problem: Scientists can create a virtual version and simulate how that material will behave. Building these ...

Machine learning to predict how fast biodegradable plastics break down in nature

Testing how quickly a biodegradable plastic actually breaks down in the environment can take months, sometimes years, of lab ...
Tech Xplore

Flawed chip reliability tests may misjudge insulators' lifetimes, new method suggests

The industry is working on promising new materials and chip architectures. But this also means that novel electronic ...
Tech Xplore

New computational method combines modern density functional with adaptive algorithm to predict semiconductor properties

Semiconductors are central to modern technology. They are used in computer chips, solar cells, sensors, LEDs and ...
IEEE

Data Generation Approach Based on Data Model Fusion: An Application for Rolling Bearings Fault Diagnosis With Small Samples

Abstract: Utilizing fake data (simulated based on mechanism models or generated through data-driven models) for data enhancement is a popular approach to solve the problem of fault diagnosis with ...
IEEE

Distributed Model Predictive Consensus of MASs Against False Data Injection Attacks and Denial-of-Service Attacks

Abstract: This article provides a secure distributed output feedback model predictive control (DOFMPC) solution for the leader-following consensus problems of homogeneous linear disturbed multi-agent ...