Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Ghanshyam Pilania"'
Autor:
Md Habibur Rahman, Prince Gollapalli, Panayotis Manganaris, Satyesh Kumar Yadav, Ghanshyam Pilania, Brian DeCost, Kamal Choudhary, Arun Mannodi-Kanakkithodi
Publikováno v:
APL Machine Learning, Vol 2, Iss 1, Pp 016122-016122-18 (2024)
First-principles computations reliably predict the energetics of point defects in semiconductors but are constrained by the expense of using large supercells and advanced levels of theory. Machine learning models trained on computational data, especi
Externí odkaz:
https://doaj.org/article/d69c2a05bee64b1d8b4edec5e91a559c
Publikováno v:
Communications Materials, Vol 4, Iss 1, Pp 1-14 (2023)
Abstract The compositional and structural variety inherent to oxide perovskites spawn wide-ranging applications. In perovskites, the band gap Eg, a key material parameter for these applications, can be optimally controlled by varying the composition.
Externí odkaz:
https://doaj.org/article/0321859fbf5c427d82b5f2c60874ec8f
Autor:
Christopher Kuenneth, Jessica Lalonde, Babetta L. Marrone, Carl N. Iverson, Rampi Ramprasad, Ghanshyam Pilania
Publikováno v:
Communications Materials, Vol 3, Iss 1, Pp 1-10 (2022)
Biodegradable polyhydroxyalkanoates are promising replacements for non-degradable plastics. Here, neural network property predictors are applied to a search space of approximately 1.4 million candidates, identifying 14 polyhydroxyalkanoates that coul
Externí odkaz:
https://doaj.org/article/3c9921783df34dd3ab1b366c1b850d84
Autor:
Binod Paudel, Yogesh Sharma, Benjamin K. Derby, Ghanshyam Pilania, Matthew M. Schneider, Andrew C. Jones, Heinz Nakotte, Michael T. Pettes, Aiping Chen
Publikováno v:
Materials Research Letters, Vol 10, Iss 1, Pp 29-35 (2022)
The influence of lattice strain on magnetism is studied for perovskite rare-earth chromite, YCrO3 (YCO) thin films. A combined theoretical and experimental approach is used to demonstrate the correlation between lattice-strain and magnetic properties
Externí odkaz:
https://doaj.org/article/8cdb1aa29ea241d785164ce5fb782064
Autor:
Jihyeon Kim, Nevin S. Gupta, Lindsey B. Bezek, Jacqueline Linn, Karteek K. Bejagam, Shounak Banerjee, Joseph H. Dumont, Sang Yong Nam, Hyun Woo Kang, Chi Hoon Park, Ghanshyam Pilania, Carl N. Iverson, Babetta L. Marrone, Kwan-Soo Lee
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 8, p 7638 (2023)
Due to increased environmental pressures, significant research has focused on finding suitable biodegradable plastics to replace ubiquitous petrochemical-derived polymers. Polyhydroxyalkanoates (PHAs) are a class of polymers that can be synthesized b
Externí odkaz:
https://doaj.org/article/f21ca7cfc2bc444abc17be305d9d83d1
Autor:
Karteek K. Bejagam, Nevin S. Gupta, Kwan-Soo Lee, Carl N. Iverson, Babetta L. Marrone, Ghanshyam Pilania
Publikováno v:
Polymers, Vol 14, Iss 2, p 345 (2022)
Polyhydroxyalkanoates (PHAs) have emerged as a promising class of biosynthesizable, biocompatible, and biodegradable polymers to replace petroleum-based plastics for addressing the global plastic pollution problem. Although PHAs offer a wide range of
Externí odkaz:
https://doaj.org/article/339429805a834ae6916220ab1a382a34
Publikováno v:
APL Materials, Vol 7, Iss 10, Pp 100904-100904-9 (2019)
In the quest for enhanced functionality of all sorts, nanostructured materials are becoming ever more common. This is particularly true of oxide/oxide heterostructures in which the high density of interfaces has been implicated in enhanced properti
Externí odkaz:
https://doaj.org/article/81152a3e8e5b4e0081d093a4521e1f36
Publikováno v:
Materials, Vol 13, Iss 24, p 5701 (2020)
The purpose of this study was to develop a data-driven machine learning model to predict the performance properties of polyhydroxyalkanoates (PHAs), a group of biosourced polyesters featuring excellent performance, to guide future design and synthesi
Externí odkaz:
https://doaj.org/article/c672c45ff9fd45fc80435bfa316a9e3b
Publikováno v:
AIP Advances, Vol 1, Iss 3, Pp 032129-032129-12 (2011)
The formation of magnetic moment due to the dopants with p-orbital (d-orbital) is named d0 (d −) magnetism, where the ion without (with) partially filled d states is found to be responsible for the observed magnetic properties. To study the origin
Externí odkaz:
https://doaj.org/article/1da6689a84ce488587ffd8af02f069c9
Autor:
Samuel D. Young, Bianca M. Ceballos, Amitava Banerjee, Rangachary Mukundan, Ghanshyam Pilania, Bryan R. Goldsmith
Publikováno v:
The Journal of Physical Chemistry C. 126:12980-12993