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Permanent URI for this communityhttps://hdl.handle.net/20.500.14288/2
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Publication Restricted Development of carbon dots for security inks(Koç University, 2022) Akın, Pelda; Acar, Havva Funda Yağcı; 0000-0001-5601-8814; Koç University Graduate School of Sciences and Engineering; Materials Science and Engineering; 178902Publication Restricted Development of luminescent carbon nanoparticles for authentication of petroleum products and investigation of phototherapy potential of nanoparticles(Koç University, 2022) Sertçelik, Kübra Nur Özvural; Acar, Havva Funda Yağcı; 0000-0001-5601-8814; Koç University Graduate School of Sciences and Engineering; Materials Science and Engineering; 178902Publication Restricted Energy scaling of a multi-pass cavity femtosecond bulk laser mode-locked with graphene and carbon nanotube saturable absorbes(Koç University, 2012) Baylam, Işınsu; Sennaroğlu, Alphan; 0000-0003-4391-0189; Koç University Graduate School of Sciences and Engineering; Physics; 23851Publication Restricted Layer-by-layer spin assembly of carbon nanotube incorporated H-bonded multilayer films(Koç University, 2012) Karahan, Hüseyin Enis; Demirel, Adem Levent; 0000-0002-1809-1575; Koç University Graduate School of Sciences and Engineering; Materials Science and Engineering; 6568Publication Restricted Mesoporous graphitic carbon nitride supported CoPd alloy nanoparticles as catalysts for various reactions of terpense(Koç University, 2022) Yalın, Ahsen Sare; Metin, Önder; 0000-0003-1622-4992; Koç University Graduate School of Sciences and Engineering; Chemistry; 46962Publication Restricted Nanoscale wireless optical communication receivers with graphene and carbon nanotube(Koç University, 2012) Gülbahar, Burhan; Akan, Özgür Barış; 0000-0003-2523-3858; Koç University Graduate School of Sciences and Engineering; Electrical and Electronics Engineering; 6647
Publication Metadata only Optimization of capacitance in supercapacitors by constructing an experimentally validated hybrid artificial neural networks-genetic algorithm framework(Elsevier Ltd, 2023) Kaya, D.; Koroglu, D.; Uralcan, B.; Department of Chemical and Biological Engineering; Aydın, Erdal; Faculty Member; Department of Chemical and Biological Engineering; Koç University Tüpraş Energy Center (KUTEM) / Koç Üniversitesi Tüpraş Enerji Merkezi (KÜTEM); College of Engineering; 311745Supercapacitors are high power electrochemical energy storage systems that are attractive candidates for use in high power applications. Yet, their widespread adoption has been restricted due to their relatively low energy density. Improving the energy storage performance of supercapacitors is linked to rationally optimizing the key descriptors that affect capacitance. This work presents a systematic approach based on a hybrid artificial neural network (ANN) and genetic algorithm (GA) integrated with the Big M method to efficiently and rationally design carbon-based supercapacitors with improved energy storage performance. By performing structural and electrochemical characterization on systems we fabricate, we experimentally validate the robustness and generalizability of the developed ANN-GA framework. This study takes a step towards the rational design of supercapacitors by implementing the hybrid ANN-GA framework as an optimization tool to provide guidelines for rationally tuning material properties and operational conditions for improved capacitance. © 2023 Elsevier B.V.Publication Restricted Preparation of carbon supported single Pd, Pt and bimetallic Pd-Pt nanoparticles using supercritical CO2 deposition(Koç University, 2009) Cangül, Betül; Erkey, Can; 0000-0001-6539-7748; Koç University Graduate School of Sciences and Engineering; Materials Science and Engineering; 29633