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REF2025AIDDCR
IC VREF SERIES 0.05% SOT23-5
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- Fr. Teil #REF2025AIDDCR
- Paket SOT23-5
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- Auf Lager4966
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Spezifikationen
| Package | Tape & Reel (TR),Cut Tape (CT),Bulk |
| ProductStatus | Active |
| ReferenceType | Series |
| OutputType | Fixed |
| Voltage-Output(Min/Fixed) | 1.24V, 2.5V |
| Current-Output | 20 mA |
| Tolerance | ±0.05% |
| TemperatureCoefficient | 8ppm/°C |
| Noise-01Hzto10Hz | 12ppmp-p |
| Voltage-Input | 2.52V ~ 5.5V |
| Current-Supply | 460µA |
| OperatingTemperature | -40°C ~ 125°C (TA) |
| MountingType | Surface Mount |
| Package/Case | SOT-23-5 Thin, TSOT-23-5 |
Übersicht
Description
For the 2025 iteration, the inclusion of AIDDCR suggests a targeted emphasis on the growing importance and impact of computational and data-driven research fields. This involves assessing how institutions are leveraging AI technologies, utilizing digital and data tools, and advancing computational science to produce significant research outcomes.
The framework aims to encourage innovation and excellence in these rapidly evolving areas by recognizing and rewarding institutions that demonstrate leadership and impact. It also seeks to ensure that the funding reflects the strategic importance of AIDDCR disciplines, aligning with broader objectives such as technological advancement and societal impact.
Features
1. Automated Analysis: Utilizing AI algorithms to assess large volumes of research content efficiently.
2. Data-Driven Insights: Leveraging analytics to provide quantitative assessments of research impact and quality.
3. Objectivity and Consistency: AI tools help minimize human bias, ensuring consistent evaluation standards across different submissions.
4. Interdisciplinary Evaluation: Capable of assessing research across various disciplines, recognizing interdisciplinary contributions.
5. Real-Time Feedback: Providing researchers with rapid insights and feedback on their submitted work.
6. Advanced Metrics: Incorporating diverse metrics beyond traditional citations, such as social media impact and collaborative networks.
7. Scalability: Efficiently handling large-scale data, making it suitable for national-level assessments.
8. Customizable Criteria: Allowing institutions to set specific evaluation criteria based on research goals.
These features aim to enhance the fairness, accuracy, and efficiency of research evaluations. It is important to consult official sources for precise details, as these are generalized predictions based on trends in AI and data-driven evaluations.
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Versand
VersandmethodenWir
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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
Payment Methods
Die Zahlungsfrist ist 100% Prepaid.
Derzeit akzeptieren wir nur die folgenden Zahlungsmethoden:
1. PayPal
2. Kredit- / Debitkarte
3. Überweisung
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