Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Scott, Broderick"'
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9196 (2024)
The recent advancements in the field of superconductivity have been significantly driven by the development of nitride superconductors, particularly niobium nitride (NbN). Multicomponent nitrides offer a promising platform for achieving high-temperat
Externí odkaz:
https://doaj.org/article/a0a22d49f08848c4ae8697583790fa5f
Data-driven design for enhanced efficiency of Sn-based perovskite solar cells using machine learning
Autor:
Abdul Hamid Rumman, Miah Abdullah Sahriar, Md Tohidul Islam, Kazi Md Shorowordi, Joaquin Carbonara, Scott Broderick, Saquib Ahmed
Publikováno v:
APL Machine Learning, Vol 1, Iss 4, Pp 046117-046117-13 (2023)
In this study, a novel three-step learning-based machine learning (ML) methodology is developed utilizing 26 000 experimental records from The Perovskite Database Project. A comprehensive set of 29 features encompassing both categorical and numerical
Externí odkaz:
https://doaj.org/article/085f0edebdac4fcf9aacaf318bb689db
Autor:
Yong Hu, Jennifer L. Gottfried, Rose Pesce-Rodriguez, Chi-Chin Wu, Scott D. Walck, Zhiyu Liu, Sangeeth Balakrishnan, Scott Broderick, Zipeng Guo, Qiang Zhang, Lu An, Revant Adlakha, Mostafa Nouh, Chi Zhou, Peter W. Chung, Shenqiang Ren
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022)
Chemical energy ferroelectrics show limited control of the energy release rate. Here, the authors design spatially programmed energetic ferroelectrics with controlled energy release rates from machine learning-directed additive manufacturing and ice-
Externí odkaz:
https://doaj.org/article/8fdc70319e974d06ae7d97deaa62cb54
Autor:
Teresia W. Maina, Elizabeth A. Grego, Scott Broderick, Randy E. Sacco, Balaji Narasimhan, Jodi L. McGill
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
Human respiratory syncytial virus (HRSV) is a leading cause of death in young children and there are no FDA approved vaccines. Bovine RSV (BRSV) is antigenically similar to HRSV, and the neonatal calf model is useful for evaluation of HRSV vaccines.
Externí odkaz:
https://doaj.org/article/4862bdbf045344c295e5fbcdff3781de
Autor:
Yong Hu, Scott Broderick, Zipeng Guo, Alpha T. N’Diaye, Jaspal S. Bola, Hans Malissa, Cheng Li, Qiang Zhang, Yulong Huang, Quanxi Jia, Christoph Boehme, Z. Valy Vardeny, Chi Zhou, Shenqiang Ren
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Compared to inorganic materials, the magnetoelectric coupling in macromolecules is still hidden. Here, the authors describe machine learning coupled with additive manufacturing to accelerate the discovery of multiferroic macromolecules with a proton-
Externí odkaz:
https://doaj.org/article/b7abc587a4a540e8853a147fe026625b
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract This paper introduces the use of topological data analysis (TDA) as an unsupervised machine learning tool to uncover classification criteria in complex inorganic crystal chemistries. Using the apatite chemistry as a template, we track throug
Externí odkaz:
https://doaj.org/article/9134fcce99cf4ca2ad1ff3ff24fd1ef6
Autor:
Yashdeep Phanse, Supraja Puttamreddy, Duan Loy, Julia Vela Ramirez, Kathleen A. Ross, Ignacio Alvarez-Castro, Mark Mogler, Scott Broderick, Krishna Rajan, Balaji Narasimhan, Lyric C. Bartholomay
Publikováno v:
Vaccines, Vol 10, Iss 9, p 1428 (2022)
In the last 15 years, crustacean fisheries have experienced billions of dollars in economic losses, primarily due to viral diseases caused by such pathogens as white spot syndrome virus (WSSV) in the Pacific white shrimp Litopenaeus vannamei and Asia
Externí odkaz:
https://doaj.org/article/4f8e29c5e985486a8229ccf124c67149
Publikováno v:
Journal of the American Ceramic Society.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0e01ae7b7af898d634125b7322ae05a
https://doi.org/10.1111/jace.19133
https://doi.org/10.1111/jace.19133
Publikováno v:
MRS Communications. 11:811-817
This paper describes an unsupervised exploratory data mining strategy for identifying significant chemistry-structure–property relationships in complex crystal chemistries. Using the formalism of Topological Data Analysis (TDA), we show how hierarc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de2fedf4caf76d5208843733ede3eabd
https://doi.org/10.1557/s43579-021-00097-x
https://doi.org/10.1557/s43579-021-00097-x
Autor:
Yong Hu, Jennifer L. Gottfried, Rose Pesce-Rodriguez, Chi-Chin Wu, Scott D. Walck, Zhiyu Liu, Sangeeth Balakrishnan, Scott Broderick, Zipeng Guo, Qiang Zhang, Lu An, Revant Adlakha, Mostafa Nouh, Chi Zhou, Peter W. Chung, Shenqiang Ren
Publikováno v:
Nature communications. 13(1)
Chemical energy ferroelectrics are generally solid macromolecules showing spontaneous polarization and chemical bonding energy. These materials still suffer drawbacks, including the limited control of energy release rate, and thermal decomposition en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6e8d46ad715e54de1f72bffb3e852f0
https://pubmed.ncbi.nlm.nih.gov/36379949
https://pubmed.ncbi.nlm.nih.gov/36379949