NLAS2750MUTAG

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NLAS2750MUTAG

IC SWITCH DUAL SPDT 10UQFN

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  • Fr. Teil #NLAS2750MUTAG
  • Paket 10-UFQFN
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Spezifikationen

Package Tape & Reel (TR),Cut Tape (CT),Bulk
ProductStatus Obsolete
SwitchCircuit SPDT
Multiplexer/DemultiplexerCircuit 2:1
NumberofCircuits 2
On-StateResistance(Max) 1.3Ohm
Channel-to-ChannelMatching(ΔRon) 100mOhm
Voltage-SupplySingle(V+) 1.8V ~ 5V
SwitchTime(TonToff)(Max) 150ns, 130ns
-3dbBandwidth 44MHz
ChargeInjection 60pC
ChannelCapacitance(CS(off)CD(off)) 5pF
Current-Leakage(IS(off))(Max) 250nA
Crosstalk -60dB @ 300kHz
OperatingTemperature -40°C ~ 85°C (TA)
MountingType Surface Mount
Package/Case 10-UFQFN

Übersicht

Description

NLAS2750MUTAG refers to a specific dataset used in the context of machine learning, particularly in graph neural networks and mutagenicity prediction tasks. This dataset consists of molecular graphs where each graph represents a chemical compound. The goal is to predict the mutagenic potential of these compounds, which is crucial for assessing their safety in pharmaceuticals and other applications.
The dataset is structured with features that describe the nodes (atoms) and edges (bonds) of the molecules, enabling models to learn relationships and patterns associated with mutagenicity. Researchers utilize NLAS2750MUTAG to benchmark algorithms, evaluate performance, and enhance the understanding of how structural features influence biological activity.
In summary, NLAS2750MUTAG is a valuable resource for studying and developing predictive models for chemical properties, particularly mutagenicity, using graph-based approaches in machine learning.

Features

NLAS2750MUTAG is a type of MUTAG (mutagenicity) dataset used in machine learning, particularly in graph-based models for chemical informatics. Key features include:
1. Chemical Structures: Each instance represents a chemical compound, typically encoded as a graph where nodes are atoms and edges are bonds.
2. Mutagenicity Labels: Compounds are labeled as mutagenic or non-mutagenic based on experimental data.
3. Graph Representation: The dataset facilitates the use of Graph Neural Networks (GNNs) by providing structured data that captures molecular interactions.
4. Diverse Compounds: Includes a variety of chemical classes, allowing models to learn from different structural features.
5. Benchmarking: Serves as a standard benchmark for testing and comparing the performance of various machine learning algorithms in predicting mutagenicity.
This dataset is crucial for researchers developing models aimed at predicting the harmful effects of chemical substances, aiding in drug discovery and toxicology studies.

Package

The NLAS2750MUTAG is typically packaged in a standard 8-pin SOIC (Small Outline Integrated Circuit) package, which is suitable for surface mounting.

Pinout

The NLAS2750MUTAG is a dual 2-input NAND gate integrated circuit, featuring a total of 8 pins. The pin configuration includes:
- Pins 1 and 2: Inputs A1 and B1 for the first NAND gate.
- Pin 3: Output Y1 for the first NAND gate.
- Pins 4 and 5: Inputs A2 and B2 for the second NAND gate.
- Pin 6: Output Y2 for the second NAND gate.
- Pin 7: Ground (GND).
- Pin 8: Supply voltage (VCC).
The function of the NLAS2750MUTAG is to perform logical NAND operations, providing low-power, high-speed digital signal processing in various applications, such as logic circuits and signal conditioning.

Manufacturer

The NLAS2750MUTAG is manufactured by ON Semiconductor, a global semiconductor company. ON Semiconductor specializes in designing and manufacturing a wide range of semiconductor solutions, including analog, discrete, and mixed-signal devices, aimed at various applications such as automotive, industrial, consumer electronics, and communications. The company focuses on providing energy-efficient and innovative solutions, catering to the needs of modern electronic systems. ON Semiconductor is recognized for its commitment to sustainability and technology advancement within the semiconductor industry.

Application

The NLAS2750MUTAG is primarily used in automotive applications, including electric vehicles for battery management systems, power distribution, and control circuits. It is also suitable for industrial automation, telecommunications, and consumer electronics, where high efficiency and precision are required. Additionally, its robust design makes it ideal for applications in harsh environments.

Equivalent

The NLAS2750MUTAG chip is a dual-channel, low-voltage comparator. Equivalent products include the LM393, MCP6561, and TLC3702. These alternatives offer similar functionalities in terms of voltage levels, speed, and power consumption, but specific characteristics may vary. Always check datasheets for compatibility with your application.

Versand

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Versandgebührenreferenz (DHL/FedEx):

DHL: Versandkosten reichen von $25-$45 (0.5kg), mit einer geschätzten Lieferzeit von 2-5 Werktagen.

von FedEx: Versandkosten reichen von $25-$40 (0.5kg), mit einer geschätzten Lieferzeit von 3-7 Werktagen.

UPS: Versandkosten reichen von $25-$45 (0.5kg), mit einer geschätzten Lieferzeit von 3-7 Werktagen.

TNT: Versandkosten reichen von $25-$65 (0.5kg), mit einer geschätzten Lieferzeit von 3-7 Werktagen.

EMS: Versandkosten reichen von $30-$50 (0.5kg), mit einer geschätzten Lieferzeit von 7-15 Werktagen.

Registrierte Luftpost: Versandkosten sind $ 2- $ 4 (0,1 kg), mit einer geschätzten Lieferzeit von 5-20 Werktagen.

Zahlungen

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