EurekAlert!

An AI–DFT integrated framework accelerates materials discovery and design

Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a ...
Mirage News

AI-DFT Framework Speeds Up Materials Discovery

Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a comprehensive review of ...
Semiconductor Engineering

DAC Day Three: UVM, Machine Learning And DFT Come Together

An action packed day at DAC where all extremes of the EDA problem space can be covered under one roof. The industry and users have a love/hate relationship with UVM. It has quickly risen to become the ...
Electronic Design

What’s Next for Physically Aware DFT?

Why isolated flows negatively impact design schedule and PPA. Benefits of unified DFT, synthesis, and physical design flows. Physical implementation optimization methods for test compression and scan ...
EurekAlert!

XAFS Technology Combined with DFT Calculations and Machine Learning for Precision Catalysis (IMAGE)

XAFS technology can characterize metal site structures, perform in situ detection in catalytic reactions, and conduct quantitative analysis. When combined with DFT calculations and machine learning, ...
AZOM

Density Functional Theory Applied to Optoelectronical Properties of Graphene

Due to its high electron mobilities at ambient temperature and peculiar electronic behaviors like the quantum hall effect, which imitates massless transportation and results in high superconductivity, ...