Enhanced Efficiency and Cooling for Power-Intensive Applications Is your power supply ready to meet the demands of the future? The rapid growth of AI is revolutionizing industries, but it’s also driving energy consumption to unprecedented levels. For data center applications, this creates significant power challenges—demanding advanced cooling solutions and greater efficiency. CGD’s P2 Series GaN ICs deliver innovative cooling on both sides of the device, significantly enhancing heat dissipation. Designed as an easy drop-in replacement for MOSFETs, the P2 Series allows you to harness the benefits of GaN—including improved efficiency, higher power density, and superior performance—without the need for a complete design overhaul. 👉 Learn more and download our Application Brief: https://lnkd.in/gqbS23tw #GalliumNitride #GaNTechnology #ICeGaN #PowerElectronics #Innovation #Efficiency #DataCentres
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𝐃𝐫𝐢𝐯𝐢𝐧𝐠 𝐆𝐚𝐍 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐭𝐨 𝐈𝐭𝐬 𝐅𝐮𝐥𝐥 𝐏𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥 In my previous post, I discussed the key features and performance advantages of GaN technology. Now, I’d like to focus on how advanced gate drivers play a critical role in maximizing the efficiency and reliability of GaN transistors. To fully leverage GaN’s potential, high-performance gate drivers are essential. These drivers enable precise control over switching characteristics, minimizing switching losses and enhancing power density. Whether in isolated or non-isolated configurations, high-quality gate drivers are crucial for ensuring consistent and reliable performance in demanding applications. In sectors like telecommunications and server power supplies, efficient power conversion is paramount, particularly in data centers and telecom infrastructure. Additionally, for motor drives and robotics, the combination of GaN technology and sophisticated gate drivers offers superior performance, driving advancements in motor control and automation systems. As GaN technology continues to push the boundaries of power conversion, we’re seeing more compact, efficient, and powerful systems. It will be fascinating to witness how GaN evolves to meet the demands of future applications. What sectors are likely to adopt GaN technology next? Credit to: https://lnkd.in/g-R-KThN https://lnkd.in/e2Nvs9_T #GaNTechnology #PowerConversion #InnovationInTech #AdvancedElectronics
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The #Immersion #Cooling Fluids Market encompasses the industry dedicated to the development and supply of specialized fluids used in immersion cooling systems for #electronic devices. These fluids, often dielectric, enable efficient heat dissipation by submerging components directly, enhancing thermal management in data centers, high-performance computing, and electric vehicles. This market is driven by the growing demand for energy-efficient cooling solutions, advancements in fluid technology, and the increasing prevalence of high-density computing environments, offering significant opportunities for innovation and growth. 📌(𝙐𝙨𝙚 𝘾𝙤𝙧𝙥𝙤𝙧𝙖𝙩𝙚 𝙈𝙖𝙞𝙡 𝙄𝙙 𝙛𝙤𝙧 𝙌𝙪𝙞𝙘𝙠 𝙍𝙚𝙨𝙥𝙤𝙣𝙨𝙚) https://lnkd.in/gCE4nT4t #ImmersionCoolingFluids #DataCenterCooling #SustainableTech #HighPerformanceComputing #GreenDataCenters #EnergyEfficiency #ThermalManagement #FutureOfCooling #TechInnovation #MarketGrowth #DataCenterSolutions #SustainableIT #CoolingTechnology #gis
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Methane sensor technology is moving fast. Here’s how we’ve developed, evolved and refined ours at speed, rigorously testing more than 40 sensor types and using machine learning to calibrate the final candidate: https://lnkd.in/e6GwWgWk The result: a continuous methane monitoring system made for mass deployment. Since publication of this paper last December, we have further improved its sensitivity to 0.4 kg/h. #methane #continuousmonitoring #sensors
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If you do one thing - sort your methane out. Of course to do that, you need to know where your leaks are. - I was asked for examples of AI making a difference last week - here is another example of an AI success.
Methane sensor technology is moving fast. Here’s how we’ve developed, evolved and refined ours at speed, rigorously testing more than 40 sensor types and using machine learning to calibrate the final candidate: https://lnkd.in/e6GwWgWk The result: a continuous methane monitoring system made for mass deployment. Since publication of this paper last December, we have further improved its sensitivity to 0.4 kg/h. #methane #continuousmonitoring #sensors
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#Review Optical Fibre-Based Sensors—An Assessment of Current Innovations by Svetlana N. Khonina, Nikolay L. Kazanskiy and Muhammad A. Butt https://lnkd.in/gKKwuCVG #MDPI #Optical #Biochemical #Fibre #biosensors #sensors #openaccess #Abstract Optical fibre sensors are an essential subset of optical fibre technology, designed specifically for sensing and measuring several physical parameters. These sensors offer unique advantages over traditional sensors, making them gradually more valuable in a wide range of applications. They can detect extremely small variations in the physical parameters they are designed to measure, such as analytes in the case of biosensing. This high sensitivity allows them to detect subtle variations in temperature, pressure, strain, the refractive index of analytes, vibration, and other environmental factors with exceptional accuracy. Moreover, these sensors enable remote sensing capabilities. Since light signals are used to carry information, the sensing elements can be placed at distant or inaccessible sites and still communicate the data back to the central monitoring system without signal degradation. In recent times, different attractive configurations and approaches have been proposed to enhance the sensitivity of the optical fibre-based sensor and are briefly explained in this review. However, we believe that the choice of optical fibre sensor configuration should be designated based on the specific application. As these sensors continue to evolve and improve, they will play an increasingly vital role in critical monitoring and control applications across various industries.
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Economic and packaging constraints typically limit the number of temperature sensors that can fit in a battery pack. Although certain cell module arrangements may enhance the distribution of temperature sensors, most cells will still lack sensors and depend on heat propagation between adjacent cells for detection. With 24/7 cell monitoring, DKCMS can provide temperature fault detection that is at least 5 minutes quicker than battery packs without per cell temperature measurement, allowing for quicker intervention in an overtemperature scenario. Learn more about how we can revolutionize the safety and reliability of your next-generation battery designs: https://lnkd.in/eZW6gsnM #dukosi #batterysafety #evbatteries #electricvehicles #energystorage #technology #BMS
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Energy monitoring made easy with Edge Impulse and the Particle Photon 2! Monitor multiple appliance usage with a single hardware interface, using #edgeAI to detect their unique electrical frequencies. Follow this project to intelligently automate energy management for a variety of valuable use cases. https://lnkd.in/g7C2ubZ2 #ai #technology
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The Senstar Sensor Fusion Engine is a breakthrough technology that synthesizes data from separate systems to generate actionable information. More than just a simple Boolean logic integration, the sensor fusion engine accesses low level data to intelligently characterize potential risks. Data synthesis enables the system to achieve levels of performance that exceed those of the individual sensors. Check out our #SensorFusion brochure to learn more about the features and benefits. ➜ https://buff.ly/475tOkz #Senstar #SecuritySolutions
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Air and Water are fluids and the most common heat transfer method using them is Convection, Since the convection heat transfer depends mainly on the convection heat transfer coefficient which depends on the thermal conductivity of the material, so, the thermal conductivity is the key. Air thermal conductivity is 0.026 W/m-K Water thermal conductivity is 0.61 W/m-K It is striking to see that water is 23.5 times more efficient in transferring heat than air. Further, given a specific volume of water flow over a hot component (the volumetric flow rate), water has a heat carrying capacity nearly 3,500 times that of air . So liquid cooling is opening a new chapter in the data center industry, as it enables the super-servers to be widely used, as liquid cooling has a Huge capability to remove heat. There are two methods of liquid cooling: 1- Direct to chip cooling. 2- Immersion cooling. For example the traditional air cooling method, enables us to use up to 500-750 watts CPU, while liquid cooling offers accelerated performance and ability to scale out to at least 1,500 watts per processor. That’s a key performance point to keep up with the rapid rise of artificial intelligence and a broader adoption of HPC in enterprise data centers. So excited to hear that #Schneiderelectric Acquired #Motivair for liquid cooling, and looking forward to working on this new technology soon. #Datacenter #Liquid_cooling
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-Discover the High Sensitivity of NisshaFIS Semiconductor Refrigerant Sensors- At Nissha FIS, we utilize semiconductor technology in our refrigerant sensors, which are known for their high sensitivity to low concentrations of refrigerants. Here’s how these advanced sensors work: Our gas-sensitive material is primarily composed of a tin dioxide (SnO2)-based metal oxide semiconductor. The electrical conductivity of this material changes depending on the gas concentration in the surrounding environment. In clean air, oxygen molecules from the air absorb onto the surface of the gas-sensitive material, capturing free electrons and maintaining the sensor's resistance at a high level. However, when gas is present around the sensor, it reacts with the adsorbed oxygen, causing the oxygen to desorb. This release of free electrons increases the electrical conductivity, thereby decreasing the sensor's resistance. By reading the changes in sensor resistance, the presence of refrigerants can be detected. Thanks to the semiconductor technology, our refrigerant sensors show high sensitivity to even the lowest concentrations of refrigerants, ensuring that no small leaks go unnoticed. For more details about refrigerant sensors, please visit our website. https://lnkd.in/g6humQAR #NisshaFIS #Refrigerant #Refrigerants #hvac #gas #semiconductor #GasSensor #sensor #sensors #technology #sustainability
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