Vote for your favorite mineral in #MinCup25! - Stibnite vs. Perovskite
It's all about how minerals interact with humans as dramatic #stibnite faces off against futuristic #perovskite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Capman, Nyssa S. S., Chaganti, V. R. Saran Kumar, Simms, Laura E., Hogan, Christopher J., Koester, Steven J. (2024) Using Machine Learning to Overcome Interfering Oxygen Effects in a Graphene Volatile Organic Compound Sensor. ACS Applied Materials & Interfaces, 16 (6) 7554-7564 doi:10.1021/acsami.3c16157

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleUsing Machine Learning to Overcome Interfering Oxygen Effects in a Graphene Volatile Organic Compound Sensor
JournalACS Applied Materials & Interfaces
AuthorsCapman, Nyssa S. S.Author
Chaganti, V. R. Saran KumarAuthor
Simms, Laura E.Author
Hogan, Christopher J.Author
Koester, Steven J.Author
Year2024 (February 14)Volume16
Issue6
PublisherAmerican Chemical Society (ACS)
DOIdoi:10.1021/acsami.3c16157Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID17164058Long-form Identifiermindat:1:5:17164058:0
GUID0
Full ReferenceCapman, Nyssa S. S., Chaganti, V. R. Saran Kumar, Simms, Laura E., Hogan, Christopher J., Koester, Steven J. (2024) Using Machine Learning to Overcome Interfering Oxygen Effects in a Graphene Volatile Organic Compound Sensor. ACS Applied Materials & Interfaces, 16 (6) 7554-7564 doi:10.1021/acsami.3c16157
Plain TextCapman, Nyssa S. S., Chaganti, V. R. Saran Kumar, Simms, Laura E., Hogan, Christopher J., Koester, Steven J. (2024) Using Machine Learning to Overcome Interfering Oxygen Effects in a Graphene Volatile Organic Compound Sensor. ACS Applied Materials & Interfaces, 16 (6) 7554-7564 doi:10.1021/acsami.3c16157
In(2024, February) ACS Applied Materials & Interfaces Vol. 16 (6) American Chemical Society (ACS)

See Also

These are possibly similar items as determined by title/reference text matching only.

Saran Kumar Chaganti, V. R., Golani, Prafful, Truttmann, Tristan K., Liu, Fengdeng, Jalan, Bharat, Koester, Steven J. (2021) Optimizing Ohmic contacts to Nd-doped n-type SrSnO3. Applied Physics Letters, 118 (14) 142104pp. doi:10.1063/5.0027470
Zhang, Zhiyi, Zhao, Zhihua, Chen, Chen, Wu, Lan (2024) Chemiresistive Gas Sensors Made with PtRu@SnO2 Nanoparticles for Machine Learning-Assisted Discrimination of Multiple Volatile Organic Compounds. ACS Applied Materials & Interfaces, 16 (49). doi:10.1021/acsami.4c14120
Izquierdo, Nezhueyotl; Li, Ruixue; Christenson, Peter R.; Oh, Sang-Hyun; Koester, Steven J. (2025) Dielectrophoresis-Enhanced Graphene Field-Effect Transistors for Nano-Analyte Sensing. ACS Applied Materials & Interfaces, 17 (22). doi:10.1021/acsami.4c22829
Rathore, Lokesh Kumar, Bera, Ashok (2024) Photo-Fenton-Active MIL-88A/CNT-Based PVA Hydrogel for Solar-Driven Water Evaporation and Simultaneous Volatile Organic Compound Removal. ACS Applied Materials & Interfaces, 16 (33). 43670-43681 doi:10.1021/acsami.4c10367
Sharma, Rahul Kumar, Jena, Milan Kumar, Minhas, Harpriya, Pathak, Biswarup (2024) Machine-Learning-Assisted Screening of Nanocluster Electrocatalysts: Mapping and Reshaping the Activity Volcano for the Oxygen Reduction Reaction. ACS Applied Materials & Interfaces, 16 (46). doi:10.1021/acsami.4c14076
Barik, Ranjan Kumar, Woods, Lilia M (2024) Frictional Properties of Two-Dimensional Materials: Data-Driven Machine Learning Predictive Modeling. ACS Applied Materials & Interfaces, 16 (30) 40149-40159 doi:10.1021/acsami.4c05532
K, Niketa A., Kumar, Shishir (2024) Ion Selectivity in Multilayered Stacked Nanoporous Graphene. ACS Applied Materials & Interfaces, 16 (4) 5294-5301 doi:10.1021/acsami.3c15044
Zhang, Yao, Ma, Rui, Zhen, Xue V., Kudva, Yogish C., Bühlmann, Philippe, Koester, Steven J. (2017) Capacitive Sensing of Glucose in Electrolytes Using Graphene Quantum Capacitance Varactors. ACS Applied Materials & Interfaces, 9. 38863-38869 doi:10.1021/acsami.7b14864
Olson, Eric J., Ma, Rui, Sun, Tao, Ebrish, Mona A., Haratipour, Nazila, Min, Kyoungmin, Aluru, Narayana R., Koester, Steven J. (2015) Capacitive Sensing of Intercalated H2O Molecules Using Graphene. ACS Applied Materials & Interfaces, 7. 25804-25812 doi:10.1021/acsami.5b07731
Aliev, Timur A., Belyaev, Vadim E., Pomytkina, Anastasiya V., Nesterov, Pavel V., Shityakov, Sergey, Sadovnichii, Roman V., Novikov, Alexander S., Orlova, Olga Yu., Masalovich, Maria S., Skorb, Ekaterina V. (2023) Electrochemical Sensor to Detect Antibiotics in Milk Based on Machine Learning Algorithms. ACS Applied Materials & Interfaces, 15 (44) 52010-52020 doi:10.1021/acsami.3c12050
Khatua, Rudranarayan, Das, Bibhas, Mondal, Anirban (2024) Physics-Informed Machine Learning with Data-Driven Equations for Predicting Organic Solar Cell Performance. ACS Applied Materials & Interfaces, 16 (42). doi:10.1021/acsami.4c10868
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 18, 2025 00:34:02
Go to top of page