Comment by J. P. Hansen and D. L. Aksnes

Kleidon, Axel

doi:10.5194/esd-2017-93-ec1

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…The decay rates 𝛽1 and 𝛽2 are set to the same values as those used in the original literature. [35] After pre-training, the weights are fine-tuned for 100 epochs, using a learning rate of 2.7E-7, while keeping the other parameters the same as in…”

Section: Transfer Learningmentioning

confidence: 99%

Elucidating Morphology‐Mobility Relationships of Organic Thin Films Through Transfer Learning‐Assisted Multiscale Simulation

Tan,

Duan,

Wang

2024

Adv Funct Materials

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Understanding the relationship between morphology and charge transport capability in organic thin films is vital for advancements in organic electronics. However, accurately predicting charge mobility in these films is challenging due to the extensive evaluations of transfer integral required. To address this challenge, transfer learning techniques are employed to develop machine learning models capable of efficiently and accurately calculating transfer integrals in organic thin films with grain boundaries and polymorphs. Through machine learning‐assisted multiscale simulations of charge transport, the impact of solution shearing conditions is investigated on the morphology and mobility of organic thin films. The findings reveal that shearing‐induced molecular orientation and pre‐aggregation have a significant influence on film morphology, and a moderate shearing speed combined with a suitable solvent promotes the formation of extended transport networks, leading to higher mobility. The utilization of transfer learning‐accelerated simulation techniques opens up new possibilities for exploring the relationship between solution‐processing conditions, morphology, and charge transport properties of organic thin films. This research provides valuable insights that can be applied to optimize solution‐processing techniques in organic electronics.

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Section: Transfer Learningmentioning

confidence: 99%

Elucidating Morphology‐Mobility Relationships of Organic Thin Films Through Transfer Learning‐Assisted Multiscale Simulation

Tan,

Duan,

Wang

2024

Adv Funct Materials

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“…Jenis penelitian yang digunakan dalam penelitian ini yaitu penelitian kualitatif. Penelitian kualitatif merupakan suatu penelitian yang memiliki tujuan untuk memahami fenomena yang dialami oleh subjek baik berupa perilaku, motivasi, dan tindakan yang dideskripsikan kedalam katakata maupun bahasa secara holistic pada suatu konteks khusus alamiah sehingga berbagai metode alamiah bisa dimanfaatkan (Moleong M.A., 2017).…”

Section: Metodologi Penelitian Jenis Penelitianunclassified

Analisis Penerapan Psak 72 Tentang Revenue Contract Pada Cv. Maju Berjaya

Saputra,

Putri

2022

CASH

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Saat ini PSAK 72 telah resmi menggantikan seluruh standar yang terkait dengan pengakuan pendapatan sehingga PSAK 72 ini dapat menjadi standar tunggal yang mengatur tentang pengakuan pendapatan dari kontrak dengan pelanggan. Tujuan dari penelitian ini adalah untuk mengetahui bagaimana penerapan PSAK 72 tentang revenue contract pada CV. Maju Berjaya. Penelitian ini menggunakan data pendapatan kontrak pada CV. Maju Berjaya untuk periode tahun 2019 dan 2020. Metode yang digunakan dalam penelitian ini adalah metode kualitatif. Teknik pengumpulan data dilakukan dengan empat cara yaitu wawancara, obervasi, dokumentasi, dan studi kepustakaan. Hasil penelitian ini menunjukkan bahwa pada tahapan mengidentifikasi kontrak dengan pelanggan, mengidentifikasi kewajiban pelaksanaan, dan menentukan harga transaksi CV. Maju Berjaya telah sesuai dengan PSAK 72. Sedangkan pada tahapan mengakui pendapatan ketika entitas telah menyelesaikan kewajiban pelaksanaan tidak sesuai dengan PSAK 72. Sementara itu CV. Maju Berjaya tidak menerapkan satu tahapan yaitu mengalokasikan harga transaksi terhadap kewajiban pelaksanaan

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“…In addition, solid acid catalyst is an alternative to conventional liquid acid, as it is recyclable, non-corrosive and eco-friendly [5,6]. In past decades, many types of solid acid, such as zeolites, heteropoly-acids, metal oxides and sulfonated carbon-based materials, have been successfully developed and utilized in the petroleum industry and bio-refinery processes [7][8][9]. However, solid acid also has disadvantages, such as uncertain acid types, various acid strengths, uneven surface acid sites and poor stability [10].…”

Section: Introductionmentioning

confidence: 99%