PARAGRAF GRAPHENE HALL SENSORS DELIVER HIGH-ACCURACY OPERATION IN FIELDS EXCEEDING 30 TESLA AND AT CRYOGENIC TEMPERATURES

Paragraf™ has leveraged its expertise in the manufacturing & implementation of graphene technology to make another major advance in Hall-sensor performance. The company has announced the availability of a new sensor range capable of unmatched sensitivity and linearity when placed in low-temperature environments and in strong magnetic fields. Tested at the High Field Magnetic Laboratory (HFML) at Radboud University Nijmegen, the GHS-C sensors support operation in magnetic fields up to 30 T and at cryogenic temperatures (down to 1.5 K). The sensors deliver a degree of accuracy that has not previously been achievable under these conditions, sustaining non-linearity errors of significantly less than 1 % across the full measurement range. The transformative magnetic-field measurement capabilities of the GHS-C devices are due to the graphene sensor elements. Graphene’s inherent high electron mobility directly translates into high sensitivity capability, which is maintained across the entire magnetic-field range – making these devices far simpler to calibrate. The two-dimensional nature of graphene also means high quality, repeatable, and accurate data is provided by the GHS-C sensor, with no hysteresis and immunity to in-plane stray fields. This is a step beyond conventional Hall sensors which have demonstrated asymmetry, producing different measurements depending on field direction. A further advantage of the GHS-C range is their very low power operation resulting in power dissipation in the below nW range, compared to µW or mW associated with non-graphene Hall sensors. Examples of suitable applications include low-temperature quantum computing, high-field magnet monitoring in next-generation MRI systems, fusion-energy field control, particle accelerators, and other scientific and medical instrumentation. The sensors can also be directly used in fundamental physics experiments, e.g., quantum physics research, superconductivity, and spintronics.