Summary Box 对比 Typeset

比较 Summary Box 和 Typeset,看看我们在功能、评论、定价、替代品、赞成票等方面比较哪个 AI Summarizer 工具更好。

哪一个更好?Summary Box 还是 Typeset?

当我们比较Summary Box和Typeset时,这两个都是AI驱动的summarizer工具, 赞成票数有利于Typeset,使其成为明显的赢家。 Typeset的赞成票数为 25,而 Summary Box 的赞成票数为 6。

结果让你说“嗯”?投票,把那个皱眉头变成笑脸!

Summary Box

Summary Box

什么是 Summary Box?

摘要框使用真正的最新AI,可以抽象性摘要。也就是说,人工智能能够理解信息并用自己的文字编写摘要。只需单击一下即可汇总一篇文章。

Typeset

Typeset

什么是 Typeset?

您的平台探索和解释论文。搜索270m+的论文,以简单的语言了解它们,然后查找连接的论文,作者,主题。

Summary Box 赞同数

6

Typeset 赞同数

25🏆

Summary Box 类别

    Summarizer

Typeset 类别

    Summarizer

Summary Box 定价类型

    Paid

Typeset 定价类型

    Free

Summary Box 使用的技术

Next.js
Node.js
React
Tailwind CSS
Vercel

Typeset 使用的技术

Amazon Web Services
jQuery
Bootstrap

Summary Box 标签

AI
abstractive summaries
information
one-click
article

Typeset 标签

Content Summary
AI Whitepapers
AI Emails

Summary Box 平均评分

无可用评分

Typeset 平均评分

4.00

Summary Box 评论

无可用评论

Typeset 评论

Sara Sara
The simulation model validated experimental J-V and external quantum efficiency (EQE) to demonstrate an improvement in perovskite (PSK) solar cell (PSC) efficiency. The effect of interface properties at the electron transport layer (ETL)/PSK and PSK/hole transport layer (HTL) was investigated using the Solar Cell Capacitance Simulator (SCAPS). The interfaces between ETL, PSK, and HTL were identified as critical factors in determining high open-circuit voltage (Voc) and FF. In this study, the impact of two types of interfaces, ETL/PSK and PSK/HTL, were investigated. Lowering the defect density at both interfaces to 102 cm−2 reduced interface recombination and increased Voc and FF.The absorber layer defect density and n/i interface of perovskite solar cells were investigated using the Solar Cell Capacitance Simulator-1D (SCAPS-1D) at various cell thicknesses. The planar p-i-n structure was defined as PEDOT:PSS/Perovskite/CdS, and its performance was calculated. With a defect density of <1014 cm−3 and an absorber layer thickness of >400 nm, power conversion efficiency can exceed 25%. The study assumed a 0.6 eV Gaussian defect energy level beneath the perovskite's conduction band, which has a characteristic energy of 0.1 eV. These conditions produced the same result on the n/i interface. These findings place constraints on numerical simulations of the correlation between defect mechanism and performance
By Rishit