Researchers in mechanical engineering have introduced a new cooling technology for modern computer chips.
Their system uses specially designed copper cold plates that improve cooling performance while using far less energy than traditional air-cooling systems.
The findings were published in the journal Cell Reports Physical Science.
The team combined mathematical design software with advanced 3D manufacturing techniques to create the cooling system.
According to the researchers, the technology may reduce cooling-related energy use in large data centers to around 1.1% of total consumption. Conventional air-cooling systems can consume more than 30% of a facility’s total power demand.
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Modern computer chips are becoming more powerful every year. As processing power increases, chips generate more heat during operation. This heat must be removed efficiently to prevent damage and maintain performance.
The rapid growth of artificial intelligence, cloud services, and online storage has also increased pressure on global data infrastructure. Data centers already consume huge amounts of electricity, and researchers expect demand to rise sharply over the next few years.
In the US alone, experts estimate that data centers may account for up to 12% of the national grid load by 2028.
Optimized Copper Cold Plates Improve Cooling Efficiency
Traditional computer cooling systems mainly rely on circulating air around electronic components. However, air is no longer efficient enough for many high-performance chips used in AI servers and advanced computing systems. Researchers say liquid cooling offers a more practical solution for handling intense heat loads.
Direct-to-chip liquid cooling systems place a cold plate directly on top of a computer chip. Cooling liquid flows through the plate and absorbs heat from the processor. Inside these plates are tiny metal fins that increase the surface area in contact with the liquid, helping transfer heat more effectively.
Commercial liquid-cooling systems already exist, but many are designed with manufacturing costs as the primary priority. The research team instead focused on maximizing thermal performance and minimizing energy use. They used a method called topology optimization to redesign the cooling fins’ shapes.
The optimization process started with a simple rectangular fin design. A mathematical algorithm then adjusted the shapes repeatedly to improve cooling efficiency while reducing resistance to liquid flow. The software tested each design iteration virtually before selecting the best-performing structure.
The final fin shapes looked very different from conventional designs. Instead of smooth rectangles or cylinders, the optimized fins had pointed tops and jagged surfaces. Researchers said these complex shapes improved heat transfer while reducing the energy needed to pump coolant through the system.
Advanced Manufacturing Enables Pure Copper Design
Producing these detailed fin structures required a different manufacturing approach. The researchers partnered with Fabric8 to build the cold plates using electrochemical additive manufacturing (ECAM). This process creates components layer by layer through electrochemical plating rather than melting metal.
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The use of pure copper was one of the most important parts of the project. Copper transfers heat extremely well, making it ideal for cooling systems. However, pure copper is difficult to manufacture with standard 3D-printing methods.
Many existing cold plates are instead made from aluminum alloys or stainless steel. Those materials are easier to produce but conduct heat less efficiently than copper. The ECAM process allowed the researchers to create detailed copper structures with features as small as 30 to 50 micrometers, thinner than a human hair.
The team tested the new cold plates against standard rectangular-fin designs. Results showed the optimized copper plates improved cooling performance by up to 32%. They also reduced pressure drop by up to 68%, meaning less energy was required to move coolant through the system.
Lower pressure drop is important because cooling systems require pumps to continuously circulate liquid. If pumps need less energy, total operating costs fall significantly. This can make large-scale cooling systems far more energy efficient over time.
Data Centers Face Rising Energy Challenges
The researchers explained the potential impact at the scale of a full data center. A facility with one gigawatt of computing power may currently require about 550 megawatts for air cooling alone. That means the total energy demand rises to roughly 1.55 gigawatts.
With the new copper cold plates, cooling energy demand could fall dramatically. Researchers estimate only about 11 megawatts would be needed for cooling in the same facility. Most of the electricity would then go directly toward computing tasks such as AI processing, search operations, and cloud storage.
This reduction could become increasingly important as AI systems continue to grow larger. Training and operating advanced AI models require massive computing resources that generate intense heat. Efficient cooling systems may therefore become essential for keeping future data centers sustainable and affordable.
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The researchers also believe their design method can be applied beyond computer chips. Similar optimization techniques could improve cooling systems for electric vehicles, industrial electronics, renewable energy systems, and aerospace equipment. The manufacturing process may also support other applications requiring detailed copper structures.
The project highlights how cooling technology is becoming a central issue in modern computing infrastructure. As processors become faster and more power-hungry, managing heat efficiently is now as important as improving raw computing performance. Researchers say advanced liquid cooling systems may play a major role in shaping the next generation of energy-efficient data centers.
