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Maryann C. Tung

dblp:159/9401 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation
hardware verification and test
0.212015
Layout optimization and template pattern verification for directed self-assembly (DSA) · DAC 2015
Electronic design automation › physical design
layout optimization
0.212015
Layout optimization and template pattern verification for directed self-assembly (DSA) · DAC 2015
Electronic design automation › physical design
layout verification
0.212015
Layout optimization and template pattern verification for directed self-assembly (DSA) · DAC 2015
Electronic design automation
physical design
0.212015
Layout optimization and template pattern verification for directed self-assembly (DSA) · DAC 2015

Methods — techniques the papers use, named apart from their topics

directed self-assembly · 0.2block copolymer lithography · 0.2
YearPublicationVenuePosition
2015 Layout optimization and template pattern verification for directed self-assembly (DSA)
abstract
Recently, block copolymer directed self-assembly (DSA) has demonstrated great advantages in patterning contacts/vias for the 7 nm technology node and beyond. The high throughput and low process cost of DSA makes it the most promising candidate in patterning tight pitched dense patterns for the next generation lithography. Since DSA is very sensitive to the shapes and distributions of the guiding templates, it is necessary to develop new EDA algorithms and tools to address the patterning rules and constraints of the process. This paper presents a set of DSA-aware optimization techniques targeting the most urgent problems for DSA technology, including layout optimization and template pattern verification.
Zigang Xiao, Daifeng Guo, Martin D. F. Wong, He Yi, Maryann C. Tung, H.-S. Philip Wong
DAC5
2015 Physical Layout Design of Directed Self-Assembly Guiding Alphabet for IC Contact Hole/via Patterning
abstract
The continued scaling of feature size has brought increasingly significant challenges to conventional optical lithography.[1-3] The rising cost and limited resolution of current lithography technologies have opened up opportunities for alternative patterning approaches. Among the emerging patterning approaches, block copolymer self-assembly for device fabrication has been envisioned for over a decade. Block copolymer DSA is a result of spontaneous microphase separation of block copolymer films, forming periodic microdomains including cylinders, spheres, and lamellae, in the same way that snowflakes and clamshells are formed in nature - by self-assembly due to forces of nature (Fig. 1a). DSA can generate closely packed and well controlled sub-20 nm features with low cost and high throughput, therefore stands out among other emerging lithographic solutions, including extreme ultraviolet lithography (EUV), electron beam lithography (e-beam), and multiple patterning lithography (MPL).[2;6]
H.-S. Philip Wong, He Yi, Maryann C. Tung, Kye Okabe
ISPD3