XRCPB27M120F2P00R0

Murata Electronics
81-XRCPB27M120F2P0R0
XRCPB27M120F2P00R0

Mfr.:

Description:
Crystals

Lifecycle:
Obsolete
ECAD Model:
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Murata Electronics XRCGB27M120F2P00R0
Murata Electronics
Crystals 27.12 MHZ 150 OHM MAX +-150

Product Attribute Attribute Value Select Attribute
Murata
Product Category: Crystals
Delivery Restrictions:
 Mouser does not presently sell this product in your region.
RoHS:  
27.12 MHz
6 pF
20 PPM
20 PPM
2 mm x 1.6 mm
- 30 C
+ 85 C
SMD/SMT
150 Ohms
300 uW
2 mm
1.6 mm
0.45 mm
XRCGB
Reel
Cut Tape
MouseReel
Brand: Murata Electronics
Mounting Style: SMD/SMT
Product: Crystals
Product Type: Crystals
Factory Pack Quantity: 3000
Subcategory: Crystals
Type: Crystal Unit
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Attributes selected: 0

Compliance Codes
CNHTS:
8541600000
CAHTS:
8541600020
USHTS:
8541600060
JPHTS:
854160010
KRHTS:
8541609000
TARIC:
8541600000
MXHTS:
8541600100
BRHTS:
85416010
ECCN:
EAR99
Origin Classifications
Country of Origin:
Japan
Assembly Country of Origin:
Not available
Country of Diffusion:
Not available
The country is subject to change at the time of shipment.

Hybrid Crystal Resonator SMD Crystals

Murata Hybrid Crystal Resonators (HCR) Surface-Mount Device (SMD) Crystals are small, cost-effective crystals that feature improved accuracy of less than ±100ppm. This is achieved through a quartz crystal element encased in Murata's proven packaging derived from its ceramic resonator technology. This combination creates a timing device that is smaller and lower cost than standard quartz crystals while maintaining the precision of quartz. Murata HCR SMD Crystals are RoHS compliant.

AI Server Application Solutions

Murata Electronics provides a wide range of products suitable for AI environments and applications. Due to demanding AI requirements, engineers must address challenges like heat management, power efficiency, and signal integrity to keep pace with the increasing complexity of AI workloads. These advanced, reliable components from Murata help meet these challenges head-on. Designed to ensure optimal performance, efficiency, and reliability in AI server infrastructure, these products enable engineers to create systems that can scale with future advancements in AI.