-
Designing lightweight glass for efficient cars, wind turbines
A new machine-learning algorithm for exploring lightweight, very stiff glass compositions can help design next-gen materials for more efficient vehicles and wind turbines. Glasses can reinforce polymers to generate composite materials that provide similar strengths as metals but with less weight. Liang Qi, a professor of materials science and engineering at the University of Michigan,…
-
Impenetrable optical OTP security platform
An anticounterfeiting smart label and security platform which makes forgery fundamentally impossible has been proposed. The device accomplishes this by controlling a variety of information of light including the color, phase, and polarization in one optical device. A POSTECH research team — led by Professor Junsuk Rho of departments of mechanical engineering and chemical engineering,…
-
Silicon chip will drive next generation communications
Researchers have invented ultrasmall and ultrahigh-speed multiplexers that can separate and combine electromagnetic waves in the terahertz frequency bands, accelerating research and development of wireless communications towards 1 Terabit/s. «In order to control the great spectral bandwidth of terahertz waves, a multiplexer, which is used to split and join signals, is critical for dividing the…
-
Dynamical scaling of entanglement entropy and surface roughness in random quantum systems
A team of physicists has demonstrated numerically a dynamical one-parameter scaling called ‘Family-Vicsek (FV) scaling,’ originally found in surface growth physics, in disordered quantum systems. Many-particle systems in the real world are often imbued with «disorder» or «randomness.» This, in turn, leads to the occurrence of phenomena unique to such systems. For instance, electrons in…
-
Research into how human sperm swim in 3D [Statement of Retraction]
Using state-of-the-art 3D microscopy and mathematics, researchers worked to reconstruct the movement of the sperm tail in 3D with high-precision. [See below for statement of retraction.] Using state-of-the-art 3D microscopy and mathematics, Dr Hermes Gadelha from the University of Bristol, Dr Gabriel Corkidi and Dr Alberto Darszon from the Universidad Nacional Autonoma de Mexico, worked…
-
Researchers use ‘hole-y’ math and machine learning to study cellular self-assembly
A new study shows that mathematical topology can reveal how human cells organize into complex spatial patterns, helping to categorize them by the formation of branched and clustered structures. To most of us, the two differ in the way they taste or in their compatibility with morning coffee. But to a topologist, the only difference…
-
New virtual screening strategy identifies existing drug that inhibits COVID-19 virus
A novel computational drug screening strategy combined with lab experiments suggest that pralatrexate, a chemotherapy medication originally developed to treat lymphoma, could potentially be repurposed to treat COVID-19. With the Covid-19 pandemic causing illness and death worldwide, better treatments are urgently needed. One shortcut could be to repurpose existing drugs that were originally developed to…
-
A new strategy for pooling COVID-19 tests to detect outbreaks early
Researchers have proposed a new quantitative strategy for pooling COVID-19 tests in order to monitor spread and detect outbreaks early within closed communities, such as nursing homes or universities. In the face of limited supplies, some communities have achieved large-scale COVID-19 testing by grouping individuals’ saliva or nasal swab samples into pools. If a pool…
-
Deep learning can fool listeners by imitating any guitar amplifier
A study demonstrates that digital simulations of guitar amplifiers can sound just like the real thing. The implications are that as the software models continue to improve, they can replace traditional analogue guitar amplifiers, which are bulky, fragile and expensive. Professor Vesa Valimaki explains that this is an exciting development in deep learning, ‘Deep neural…
-
Researcher urges caution on AI in mammography
Analyzing breast-cancer tumors with artificial intelligence has the potential to improve healthcare efficiency and outcomes, but doctors should proceed cautiously, according to a new editorial. That’s according to a new editorial in JAMA Health Forum co-written by Joann G. Elmore, MD, MPH, a researcher at the UCLA Jonsson Comprehensive Cancer Center, the Rosalinde and Arthur…