Researchers from the University of Surrey have revealed their new biodegradable motion sensor—paving the way for implanted nanotechnology that could help future sports professionals better monitor their movements to aid rapid improvements, or help caregivers remotely monitor people living with dementia.
In order to find and treat cancerous tumors, a team of scientists is working on an aggressive new approach that involves a swarm of tiny, cancer-killing robots.
The idea is to inject the nanobots, which are engineered to look and travel like white blood cells, into a patient’s veins and move them around inside the body with powerful magnets.
“Our vision was to create the next-generation vehicle for minimally invasive targeted drug delivery that can reach even deeper tissues inside the body with even more difficult access routes than what was previously possible,” Metin Sitti, Director of Physical Intelligence at the Max Planck Society, said in a press release.
The development of next-generation solar power technology that has potential to be used as a flexible ‘skin’ over hard surfaces has moved a step closer, thanks to a significant breakthrough at The University of Queensland.
UQ researchers set a world record for the conversion of solar energy to electricity via the use of tiny nanoparticles called ‘quantum dots’, which pass electrons between one another and generate electrical current when exposed to solar energy in a solar cell device.
Continue reading “Solar Technology Breakthrough: World Record Quantum Dot Solar Cell Efficiency” »
Interesting articles on theranostic iron nanowires. I’m interested in watching all aspects of development of nanobots, because I think it may lead to new forms of treatments for superlongevity and superintelligence.
Phys.org: Iron nanorobots go undercover to do surveillance on living cells in real time:
https://phys.org/…/2020–05-iron-nanorobots-undercover-surve…
Continue reading “Magnetic core–shell nanowires as MRI contrast agents for cell tracking” »
Strong coupling between cavity photon modes and donor/acceptor molecules can form polaritons (hybrid particles made of a photon strongly coupled to an electric dipole) to facilitate selective vibrational energy transfer between molecules in the liquid phase. The process is typically arduous and hampered by weak intermolecular forces. In a new report now published on Science, Bo Xiang, and a team of scientists in materials science, engineering and biochemistry at the University of California, San Diego, U.S., reported a state-of-the-art strategy to engineer strong light-matter coupling. Using pump-probe and two-dimensional (2-D) infrared spectroscopy, Xiang et al. found that strong coupling in the cavity mode enhanced the vibrational energy transfer of two solute molecules. The team increased the energy transfer by increasing the cavity lifetime, suggesting the energy transfer process to be a polaritonic process. This pathway on vibrational energy transfer will open new directions for applications in remote chemistry, vibration polariton condensation and sensing mechanisms.
Vibrational energy transfer (VET) is a universal process ranging from chemical catalysis to biological signal transduction and molecular recognition. Selective intermolecular vibrational energy transfer (VET) from solute-to-solute is relatively rare due to weak intermolecular forces. As a result, intermolecular VET is often unclear in the presence of intramolecular vibrational redistribution (IVR). In this work, Xiang et al. detailed a state-of-the-art method to engineer intermolecular vibrational interactions via strong light-matter coupling. To accomplish this, they inserted a highly concentrated molecular sample into an optical microcavity or placed it onto a plasmonic nanostructure. The confined electromagnetic modes in the setup then reversibly interacted with collective macroscopic molecular vibrational polarization for hybridized light-matter states known as vibrational polaritons.
Researchers at Seoul National University and Korea Advanced Institute of Science and Technology (KAIST) have recently developed a sensor that can act as an electronic skin and integrated it with a deep neural network. This deep learning-enhanced e-skin system, presented in a paper published in Nature Communications, can capture human dynamic motions, such as rapid finger movements, from a distance.
The new system stems from an interdisciplinary collaboration that involves experts in the fields of mechanical engineering and computer science. The two researchers who led the recent study are Seung Hwan Ko, a professor of mechanical engineering at Soul National University and Sungho Jo, a computing professor at KAIST.
For several years, Prof. Ko had been trying to develop highly sensitive strain sensors by generating cracks in metal nanoparticle films using laser technology. The resulting sensor arrays were then applied to a virtual reality (VR) glove designed to detect the movements of people’s fingers.
Nanotechnology is on the cutting edge of new modern technology; However, one question remains, as it’s not clear if it’ll change the world or be potential harm for humans.
Over the past several years, the increased application of unmanned air vehicles (UAVs) in a wide variety of industries has inspired both public and private research laboratories to not only continually improve this technology, but to also support the miniaturization of these devices. The development of both micro- and nano-UAVs is directly related to the ability of researchers to miniaturize the major components of these devices, some of which include micro-processors, sensors, batteries and all necessary wireless communication units that allow UAVs to function properly in any given settings.
With the help of the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory, Juliette Stecenko is exploring cosmology—a branch of astronomy that investigates the origin and evolution of the universe, from the Big Bang to today and into the future. As an intern through DOE’s Science Undergraduate Laboratory Internships (SULI) program, administered at Brookhaven by the Office of Educational Programs (OEP), Stecenko is using modern supercomputers and quantum computing platforms to perform astronomy simulations that may help us better understand where we came from.
Stecenko works under the guidance of Michael McGuigan, a computational scientist in the quantum computing group at Brookhaven’s Computational Science Initiative. The two have been collaborating on simulating Casimir energy—a small force that two electrically neutral surfaces held a tiny distance apart will experience from quantum, atomic, or subatomic fluctuations in the vacuum of space. The vacuum energy of the universe and the Casimir pressure of this energy could be a possible explanation of the origin and evolution of the universe, as well a possible cause of its accelerated expansion.
“Casimir energy is something scientists can measure in the laboratory and is especially important for nanoscience, or in cosmology, in the very early universe when the universe was very small,” McGuigan said.
Carbon nanotubes embedded in leaves detect chemical signals that are produced when a plant is damaged.
MIT engineers have developed a way to closely track how plants respond to stresses such as injury, infection, and light damage, using sensors made of carbon nanotubes. These sensors can be embedded in plant leaves, where they report on hydrogen peroxide signaling waves.
Plants use hydrogen peroxide to communicate within their leaves, sending out a distress signal that stimulates leaf cells to produce compounds that will help them repair damage or fend off predators such as insects. The new sensors can use these hydrogen peroxide signals to distinguish between different types of stress, as well as between different species of plants.
