Computational chemistry describes the use of computer modelling and simulation – including ab initio approaches based on quantum chemistry, and empirical approaches – to study the structures and ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Abstract: Thermal and reliability are important concerns with the back-side power delivery network (BSPDN) technology. For evaluations of the essential reliability characteristics, this work develops ...
Abstract: In vehicular power systems, DC-DC converters are one of the primary sources of electromagnetic interference (EMI), making their EMI characteristics a subject of significant concern. This ...