Topological solitons power a chip-scale frequency comb source

Caltech scientists have developed a new way to produce optical frequency combs—important tools in devices that keep time and ...

Electronics of the future: Ultra-efficient graphene switch developed at nanometer scale

A team of researchers from Tel Aviv University, in collaboration with colleagues from Japan, has taken an important step ...
IEEE

Cubic Graph Property Dataset for Machine Learning Models

Abstract: Proper edge 3-coloring of a cubic graph is an NP-complete problem, which is present in number of real-live problems − correct and efficient assigning of variables used in the program to ...
STAREAST

An Introduction to Property Graph Query Language

A set of vertices with each vertex having zero or more labels and zero or more properties/attributes. A set of edges with each edge being directed from one vertex to another vertex. Each edge has zero ...
Asheville Citizen-Times

Asheville Helene debris removal totals 140,000 cubic yards. How to apply for debris removal

The remnants of Tropical Storm Helene still litter the roadsides, parks and homes of Buncombe County as contractors continue to work through collecting, storing and disposing of thousands of pounds of ...
C&EN

Exploration of Deep Learning Models for Accelerated Defect Property Predictions and Device Design of Cubic Semiconductor Crystals

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Semiconductor Engineering

Predicting Defect Properties In Semiconductors With Graph Neural Networks

A technical paper titled “Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks” was published by researchers at Purdue University, Indian Institute of Technology (IIT) Madras, ...