Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Benyamin Motevalli"'
Autor:
Longbing Qu, Peiyao Wang, Benyamin Motevalli, Qinghua Liang, Kangyan Wang, Wen-Jie Jiang, Jefferson Zhe Liu, Dan Li
Pairing the positive and negative electrodes with their individual dynamic characteristics properly matched is essential to the optimal design of electrochemical energy storage devices. However, the complex relationship between the performance data m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66459f1789ee792102b474c72ee77607
https://doi.org/10.21203/rs.3.rs-831006/v1
https://doi.org/10.21203/rs.3.rs-831006/v1
Publikováno v:
The Journal of Physical Chemistry C. 124:7404-7413
Machine learning is a powerful way of uncovering hidden structure/property relationships in nanoscale materials, and it is tempting to assign structural causes to properties based on feature rankin...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6d9d0222d1a14944829d512d43d0fd5
https://doi.org/10.1021/acs.jpcc.9b10615
https://doi.org/10.1021/acs.jpcc.9b10615
Publikováno v:
MRS Communications. 9:730-736
Unlike other data intensive domains, understanding distributions, trends, correlations, and relationships in materials data sets typically involves navigating high-dimensional spaces with only a limited number of observations. Under these conditions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::813f397ae73873c8639475314aa67bcc
https://doi.org/10.1557/mrc.2019.36
https://doi.org/10.1557/mrc.2019.36
Autor:
Stefan Wuttke, Wei Zhu, Jin Shang, Benyamin Motevalli, Zihao Wang, Eric N. Coker, Jimin Guo, C. Jeffrey Brinker, Andreas Zimpel, Jonas G. Croissant, Jacob O. Agola
Publikováno v:
Journal of the American Chemical Society. 141:7789-7796
The development of hybrid nanomaterials mimicking antifreeze proteins that can modulate/inhibit the growth of ice crystals for cell/tissue cryopreservation has attracted increasing interests. Herein, we describe the first utilization of zirconium (Zr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f4169c2aa3bcdb8da6b3f486436f123
https://doi.org/10.1021/jacs.9b00992
https://doi.org/10.1021/jacs.9b00992
Publikováno v:
Nanoscale Horizons. 4:983-990
Using a combination of electronic structure simulations and machine learning we have shown that the characteristic negative electron affinity (NEA) of hydrogenated diamond nanoparticles exhibits a class-dependent structure/property relationship. Usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1019020544fafb6a1ad3f721dca49f0
https://doi.org/10.1039/c9nh00060g
https://doi.org/10.1039/c9nh00060g
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b83846d3edbd6441b4bb42a44c86a12d
https://doi.org/10.2139/ssrn.3951684
https://doi.org/10.2139/ssrn.3951684
Publikováno v:
Advanced Theory and Simulations. 5:2270013
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ba283f13e15501aadf90a28948262c1
https://doi.org/10.1002/adts.202270013
https://doi.org/10.1002/adts.202270013
Publikováno v:
Applied Surface Science. 422:557-565
The adsorption of di-meta-cyano azobenzene (DMC) cis and trans isomers on non-passivated and passivated Si (111) (7 × 7) surfaces is studied using density functional theory (DFT) calculations. Our results reveal that on the non-passivated surface th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e409c5f496e671c24a52ee5abfa7d93c
https://doi.org/10.1016/j.apsusc.2017.05.240
https://doi.org/10.1016/j.apsusc.2017.05.240
Publikováno v:
International Journal of Mechanical Sciences. 121:187-198
Telescopic oscillation of nested carbon nanotubes is capable of generating GHz frequency. A main challenge against their practical applications is how to control and tune such oscillations. In this paper, we demonstrate that by displacing the tip of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b379f467c1d4582c5a0e44933c02d91
https://doi.org/10.1016/j.ijmecsci.2016.12.008
https://doi.org/10.1016/j.ijmecsci.2016.12.008
Autor:
Benyamin Motevalli, Julia Melisande Theresa Agatha Fischer, George Opletal, Amanda J. Parker, Amanda S. Barnard, C. Feigl
Publikováno v:
Nanoscale. 11(41)
The combination of computational chemistry and computational materials science with machine learning and artificial intelligence provides a powerful way of relating structural features of nanomaterials with functional properties. However, combining t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dd01179c803fe8d589b341255a919c2
https://pubmed.ncbi.nlm.nih.gov/31397835
https://pubmed.ncbi.nlm.nih.gov/31397835