Feature recognition and manufacturability analysis from computer-aided design (CAD)
models are indispensable technologies for better decision making in manufacturing …

Mobile edge computing (MEC) has been considered as a promising technology to handle
computation-intensive and delay-sensitive tasks in the Internet of Things (IoT) ecosystem …

An evident challenge ahead for the integrated circuit (IC) industry is the investigation and
development of methods to reduce the design complexity ensuing from growing process …

Detecting layout hotspots is one of the key problems in physical verification flow. Although
machine learning solutions show benefits over lithography simulation and pattern matching …

With the advancement of very large scale integrated circuits (VLSI) technology nodes,
lithographic hotspots become a serious problem that affects manufacture yield. Lithography …

Physical design process commonly consumes hours to days for large designs, and routing is
known as the most critical step. Demands for accurate routing quality prediction raise to a …

With the continuous shrinking of technology nodes, lithography hotspot detection and
elimination in the physical verification phase is of great value. Recently machine learning …

Detecting and preventing routing violations has become a critical issue in physical design,
especially in the early stages. Lack of correlation between global and detailed routing …

As the physical design of semiconductors continues to shrink, the lithography process is
becoming more sensitive to layout design. Identifying lithography hotspots (HSs) in the …

Under the low-k1 lithography process, lithography hotspot detection and elimination in the
physical verification phase have become much more important for reducing the process …