Anna Gonzàlez-Rosell

dblp:326/4568 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0001-6899-8901ORCID · reported

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

Artificial intelligence and machine learning · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021

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.

Artificial intelligence
1 paper
Generative modeling · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Generative modeling
variational autoencoder
0.612022
DNA-Stabilized Silver Nanocluster Design via Regularized Variational Autoencoders · KDD 2022
Bioinformatics and computational biology
DNA nanotechnology
0.612022
DNA-Stabilized Silver Nanocluster Design via Regularized Variational Autoencoders · KDD 2022

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

variational autoencoder · 1.1regularization · 1.1
YearPublicationVenuePosition
2022 DNA-Stabilized Silver Nanocluster Design via Regularized Variational Autoencoders
abstract
DNA-stabilized silver nanoclusters (AgN-DNAs) are a class of nanomaterials comprised of 10-30 silver atoms held together by short synthetic DNA template strands. AgN-DNAs are promising biosensors and fluorophores due to their small sizes, natural compatibility with DNA, and bright fluorescence---the property of absorbing light and re-emitting light of a different color. The sequence of the DNA template acts as a "genome" for AgN-DNAs, tuning the size of the encapsulated silver nanocluster, and thus its fluorescence color. However, current understanding of the AgN-DNA genome is still limited. Only a minority of DNA sequences produce highly fluorescent AgN-DNAs, and the bulky DNA strands and complex DNA-silver interactions make it challenging to use first principles chemical calculations to understand and design AgN-DNAs. Thus, a major challenge for researchers studying these nanomaterials is to develop methods to employ observational data about studied AgN-DNAs to design new nanoclusters for targeted applications.
Fariha Moomtaheen, Matthew Killeen, James T. Oswald, Anna Gonzàlez-Rosell, Peter Mastracco, Alexander Gorovits, Stacy M. Copp, Petko Bogdanov
KDD4