Lifeboat Foundation

A novel quantum sensor with exceptional resolution transforms atomic-level material analysis, paving the way for advancements in quantum technologies and sciences.

In a scientific breakthrough, an international research team from Germany’s Forschungszentrum Jülich and Korea’s IBS Center for Quantum Nanoscience (QNS) developed a quantum sensor capable of detecting minute magnetic fields at the atomic length scale. This pioneering work realizes a long-held dream of scientists: an MRI-like tool for quantum materials.

Quantum Sensor Development

Minimally invasive cellular-level target-specific neuromodulation is needed to decipher brain function and neural circuitry. Here nano-magnetogenetics using magnetic force actuating nanoparticles has been reported, enabling wireless and remote stimulation of targeted deep brain neurons in freely behaving animals.

In a scientific breakthrough, an international research team from Germany’s Forschungszentrum Jülich and Korea’s IBS Center for Quantum Nanoscience (QNS) developed a quantum sensor capable of detecting minute magnetic fields at the atomic length scale. This pioneering work realizes a long-held dream of scientists: an MRI-like tool for quantum materials.

The research team utilized the expertise of bottom up single-molecule fabrication from the Jülich group while conducting experiments at QNS, utilizing the Korean team’s leading-edge instrumentation and methodological know how, to develop the world’s first quantum sensor for the atomic world.

The diameter of an atom is a million times smaller than the thickest human hair. This makes it extremely challenging to visualize and precisely measure physical quantities like electric and magnetic fields emerging from atoms. To sense such weak fields from a single atom, the observing tool must be highly sensitive and as small as the atoms themselves.

The project, led by Professor Zhiqin Chu from the Department of Electrical and Electronic Engineering at the University of Hong Kong (HKU), and Professor Qiang Wei from Sichuan University, utilized label-free quantum sensing technology to measure cellular force at the nanoscale. This advancement surpasses the limitations of traditional cellular force measurement tools and provides new insights into cellular mechanics, particularly regarding how cellular adhesion forces affect cancer cell spreading.

The research team has developed a new Quantum-Enhanced Diamond Molecular Tension Microscopy (QDMTM) that offers an effective approach for studying cell adhesion forces. Compared to cell force measurement methods that utilize fluorescent probes, QDMTM has the potential to overcome challenges such as photobleaching, limited sensitivity, and ambiguity in data interpretation. Furthermore, QDMTM sensors can be cleaned and reused, enhancing the absolute accuracy of comparing cell adhesion forces across various samples.

Acetic acid, also known as acetate, and other products that can be developed from acetic acid are used in a variety of industries, from food production to medicine to agriculture. Currently, acetate production uses a significant amount of energy and results in harmful waste products. The efficient and sustainable production of acetate is an important target for researchers interested in improving industrial sustainability.

A paper published in Carbon Future (“CO 2 electroreduction to acetate by enhanced tandem effects of surface intermediate over Co 3 O 4 supported polyaniline catalyst”) outlines a method using a polyaniline catalyst with cobalt oxide nanoparticles to produce acetate through carbon dioxide electroreduction.

This image shows a polyaniline catalyst coated in cobalt oxide nanoparticles and demonstrates how the catalyst facilitates the conversion of carbon dioxide to carbon monoxide to acetate. (Image: Carbon Future)

Carbon nanotube networks made with high purity and ultraclean interfaces can be used to make a tensor processing unit that contains 3,000 transistors in a systolic array architecture to improve energy efficiency in accelerating neural network tasks.

An international research collaboration, including a group from Cornell Engineering, has applied a new X-ray-based reconstruction technique to observe, for the first time, topological defects in a nanoscale self-assembly-based cubic network structure of a polymer-metal composite material imaged over a relatively large sample volume.

Large-volume high-resolution X-ray nanotomography is used to identify topological defects emerging in a self-assembled triblock terpolymer single-diamond network.