NevadaNano

NevadaNano Sensors

How MPS™ Sensors Outperform Traditional Technologies

Advancements in Gas Detection: Overcoming the Limitations of Traditional Technologies For decades, the gas detection industry has relied on two key technologies: the Catalytic Bead Sensor (CAT/Pellistor) and Non-Dispersive Infrared Sensor (NDIR). These sensors have significantly increased safety in environments where flammable gases like methane, hydrocarbons, and hydrogen are present. However, while these technologies have […]

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MPS A2L Refrigerant Gas Sensor

NevadaNano Launches New A2L Refrigerant Gas Sensors

Molecular Property Spectrometer™ (MPS™) A2L Refrigerant Gas Sensors Now Available for both Industrial and Residential HVAC Applications   Today we announced the release of our MPS™ A2L Refrigerant Gas Sensors, available in two packaging options. The A2L IS is safety certified and hardened for industrial applications; the A2L Mini has the same performance specs of its bigger brother

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AHR Expo

NEVADANANO TO SHOWCASE INDUSTRY-LEADING COMBUSTIBLE REFRIGERANT GAS SENSOR AT AHR EXPO 2020

NevadaNano joins more than 1,900 exhibitors at the International Air Conditioning, Heating, Refrigeration Exposition (AHR Expo) February 3 to February 5, 2020, in Orlando, Florida. We will be exhibiting our new MPS A2L Refrigerant Gas Sensor at the West Hall, booth #1474. The AHR Expo is the world’s largest HVACR event, attracting the most comprehensive

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NevadaNano, Nevada Nanotech Systems, microcantilever, news, team

NevadaNano Partners with Sager Electronics to Offer New Flammable Gas Sensors

Sager Electronics Selects Industry Leader In NavadaNano NevadaNano, a leader in LEL and flammable gas sensors , announced it will be a preferred provider to Sager Electronics, a leading North American distributor of interconnect, power, and electromechanical components. As a result, NevadaNano will be able to provide their products to a larger audience. “Sager is

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Machine Learning

Machine Learning at NevadaNano: Powered by DataRobot

Automated Machine Learning To test our state-of-the-art air quality sensors in different environments, we use automated machine learning from DataRobot in order to build powerful predictive data science models. Because of DataRobot, NevadaNano sensors are accurate and reliable.  “We’re not well informed about the environments that we live, work and play in. We are here to respond

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