SumlyAI vs Typeset
In the clash of SumlyAI vs Typeset, which AI Summarizer tool emerges victorious? We assess reviews, pricing, alternatives, features, upvotes, and more.
When we put SumlyAI and Typeset head to head, which one emerges as the victor?
Let's take a closer look at SumlyAI and Typeset, both of which are AI-driven summarizer tools, and see what sets them apart. In the race for upvotes, Typeset takes the trophy. Typeset has received 25 upvotes from aitools.fyi users, while SumlyAI has received 6 upvotes.
Don't agree with the result? Cast your vote and be a part of the decision-making process!
SumlyAI
What is SumlyAI?
AI-generated podcast summaries straight into your inbox.
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.
SumlyAI Upvotes
6
Typeset Upvotes
25🏆
SumlyAI Category
- Summarizer
Typeset Category
- Summarizer
SumlyAI Pricing Type
- Freemium
Typeset Pricing Type
- Free
SumlyAI Technologies Used
Bootstrap
GSAP
React
Typeset Technologies Used
Amazon Web Services
jQuery
Bootstrap
SumlyAI Tags
Content Summary
Typeset Tags
Content Summary
AI Whitepapers
AI Emails
SumlyAI Average Rating
No rating availableTypeset Average Rating
4.00
SumlyAI Reviews
No reviews availableTypeset 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