A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

Researchers developed a machine-learning model that can predict the structures of transition states of chemical reactions in less than a second, with high accuracy. Their model could make it easier ...

Quantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed networking. But they're so different from today's computers that ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

The preliminary value for the CE Plant Cost Index (CEPCI) for February 2025 (most recent available) fell by a small margin compared to the previous ...

The preliminary value for the CE Plant Cost Index (CEPCI) for February 2025 (most recent available) fell by a small margin compared to the previous ...

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

In a major step toward more reliable AI-assisted molecular design, researchers from National Taiwan University have ...

Abstract: Fault diagnosis of complex industrial processes becomes challenging due to temporal and spatial dependencies in process data. This means that the emergence ... multiattention spatiotemporal ...

Well, that makes the whole competitive energy buzz even stronger As the fire-bird prepares to spread its wings again, Team XplOriCa, the official techno-management club of Future Institute of ...