
Scientists have created 3D printed surfaces featuring intricate textures that can be used to bounce unwanted gas particles away from quantum sensors, allowing useful particles like atoms to be delivered more efficiently, which could help improve measurement accuracy.
The researchers from the University of Nottingham’s School of Physics and Astronomy created intricate, fine-scale surface textures that preferentially bounce incident particles in particular directions. This can help to keep unwanted particles out of the way. The team, led by L. Hackermueller, demonstrated this by applying it to a surface-based vacuum pump and tripled the rate at which it removed nuisance gas particles.
The research - Exploiting complex 3D-printed surface structures for portable quantum technologies, has been published in the journal Physical Review Applied.
Quantum sensors use microscopic quantum objects to measure magnetism, gravity and other effects with unprecedented precision. They are set to revolutionize medical diagnostics, navigation and scientific research. The extreme sensitivity of these quantum objects means that they mustn’t be bumped or jostled by air molecules, so they only work under vacuum. The air around us is dense enough that gas particles bump into each other all the time, but in a strong vacuum particles can travel meters or even kilometres before hitting another gas particle.
Controlling high-vacuum gas dynamics is critical to ensure the accuracy of measurements and although quantum sensors typically operate in highly controlled, strong vacuums, undesirable particles still occasionally get in and introduce noise.
To combat this the Nottingham team created an ice hockey puck-sized system by 3D printing titanium alloy into different patterned surfaces—hexagonal pockets and conical protrusions—designed to increase the number of times an incident atom made contact with the surface. The system fits into the ports of a commercial vacuum chamber.
The authors tested how strongly the structured surfaces could enhance surface-based vacuum pumps, measuring up to 3.8 times the pumping rate per unit area for the samples tested. Simulations have found achievable surface patterns that may offer up to a ten-fold increase.
PhD student, Ben Hopton, co-author on the paper said: “What’s exciting about this work is that relatively simple surface engineering can have a surprisingly large effect. By shifting some of the burden from active pumping to passive surface-based pumping, this approach has the potential to significantly reduce, or even remove, the need for bulky pumps in some vacuum systems, allowing quantum technologies to be far more portable.”
Reference
Exploiting complex 3D-printed surface structures for portable quantum technologies
N. Cooper, D. Johnson, B. Hopton, M. Overton, D. Stupple, A. Bratu, E. Wilson, J. Robinson, L. Coles et al.
https://journals.aps.org/prapplied/abstract/10.1103/rg8y-rpsc

In a landmark achievement at the confluence of artificial intelligence and fundamental physics, a team of researchers from Tongji University, the Chinese university of Hong Kong and Nanyang Technological University has developed an AI algorithm capable of classifying complex topological phases of matter without relying on the mathematical tools that have limited human scientists for decades. This breakthrough, which tackles the notoriously difficult realm of non-Hermitian systems, suggests th...

ORNL scientists design a magnetic material as a stepping stone toward revealing new quantum phenomena.

Electronic order in quantum materials often emerges not uniformly, but through subtle and complex patterns that vary from place to place. One prominent example is the charge density wave (CDW), an ordered state in which electrons arrange themselves into periodic patterns at low temperatures. Although CDWs have been studied for decades, how their strength and spatial coherence evolve across a phase transition has remained largely inaccessible experimentally. Now, a team led by Professor Yongso...
This week in nanotech
$271M raised
6 funding rounds · 27 deals tracked
New products
Nion-compatible In Situ STEM Holders for Electrical BiasingHummingbird Scientific Featured
Orion Sputtering Deposition SystemsAJA International Featured
Aether®Lam ResearchMarket insights
Last 30 days: Quantum Technologies drew the most money: $3.17B.
Money raised per month
Behind the deal
Who invested in Photon Bridge’s $11.2M Series A?
See the investors with Insights Pro →