Summary Box vs Typeset

Compare Summary Box vs Typeset and see which AI Summarizer tool is better when we compare features, reviews, pricing, alternatives, upvotes, etc.

Which one is better? Summary Box or Typeset?

When we compare Summary Box with Typeset, which are both AI-powered summarizer tools, The upvote count favors Typeset, making it the clear winner. The number of upvotes for Typeset stands at 24, and for Summary Box it's 6.

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Summary Box

Summary Box

What is Summary Box?

Summary Box uses true state-of-the-art AI, which is capable of abstractive summaries. That is, the AI is able to understand information and write summaries in its own words. All it takes is one click to summarize an article.

Typeset

Typeset

What is Typeset?

Your platform to explore and explain papers. Search for 270M+ papers, understand them in simple language, and find connected papers, authors, topics.

Summary Box Upvotes

6

Typeset Upvotes

24🏆

Summary Box Category

    Summarizer

Typeset Category

    Summarizer

Summary Box Pricing Type

    Paid

Typeset Pricing Type

    Free

Summary Box Technologies Used

Next.js
Node.js
React
Tailwind CSS
Vercel

Typeset Technologies Used

Amazon Web Services
jQuery
Bootstrap

Summary Box Tags

AI
abstractive summaries
information
one-click
article

Typeset Tags

Content Summary
AI Whitepapers
AI Emails

Summary Box Average Rating

No rating available

Typeset Average Rating

4.00

Summary Box Reviews

No reviews available

Typeset Reviews

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