Lifeboat Foundation

Nothing makes a mess of quantum physics quite like those space-warping, matter-gulping abominations known as black holes. If you want to turn Schrodinger’s eggs into an information omelet, just find an event horizon and let ‘em drop.

According to theoretical physicists and chemists from Rice University and the University of Illinois Urbana-Champaign in the US, basic chemistry is capable of scrambling quantum information almost as effectively.

The team used a mathematical tool developed more than half a century ago to bridge a gap between known semiclassical physics and quantum effects in superconductivity. They found the delicate quantum states of reacting particles become scrambled with surprising speed and efficiency that comes close to matching the might of a black hole.

A first-ever dataset bridging molecular information about the poplar tree microbiome to ecosystem-level processes has been released by a team of Department of Energy scientists led by Oak Ridge National Laboratory. The project aims to inform research regarding how natural systems function, their vulnerability to a changing climate, and ultimately how plants might be engineered for better performance as sources of bioenergy and natural carbon storage.

The data, described in Nature Publishing Group’s Scientific Data, provides in-depth information on 27 genetically distinct variants, or genotypes, of Populus trichocarpa, a poplar tree of interest as a bioenergy crop. The genotypes are among those that the ORNL-led Center for Bioenergy Innovation previously included in a genome-wide association study linking genetic variations to the trees’ physical traits. ORNL researchers collected leaf, soil and root samples from poplar fields in two regions of Oregon — one in a wetter area subject to flooding and the other drier and susceptible to drought.

Details in the newly integrated dataset range from the trees’ genetic makeup and gene expression to the chemistry of the soil environment, analysis of the microbes that live on and around the trees and compounds the plants and microbes produce.

Ever since its discovery in 2004, graphene has been revolutionizing the field of materials science and beyond. Graphene comprises two-dimensional sheets of carbon atoms, bonded into a thin hexagonal shape with a thickness of one atom layer. This gives it remarkable physical and chemical properties.

The 2023 Nobel Prize in Chemistry was focused on quantum dots – objects so tiny, they’re controlled by the strange and complex rules of quantum physics. Many quantum dots used in electronics are made from toxic substances, but their nontoxic counterparts are now being developed and explored for uses in medicine and in the environment. One team of researchers is focusing on carbon-and sulfur-based quantum dots, using them to create safer invisible inks and to help decontaminate water supplies.

The researchers will present their results today at the spring meeting of the American Chemical Society (ACS).

Quantum dots are synthetic nanometer-scale semiconductor crystals that emit light. They are used in applications such as electronics displays and solar cells. “Many conventional quantum dots are toxic, because they’re derived from heavy metals,” explains Md Palashuddin Sk, an assistant professor of chemistry at Aligarh Muslim University in India. “So, we’re working on nonmetallic quantum dots because they’re environmentally friendly and can be used in biological applications.”

A newly developed AI method can calculate a fundamental problem in quantum chemistry: Schrödinger’s Equation. The technique could calculate the ground state of the Schrödinger equation in quantum chemistry.

Predicting molecules’ chemical and physical properties by relying on their atoms’ arrangement in space is the main goal of quantum chemistry. This can be achieved by solving the Schrödinger equation, but in practice, this is extremely difficult.

Using observations made with the Gran Telescopio Canarias (GTC) a study led from the Instituto de Astrofísica de Canarias (IAC) and the Universidad Complutense de Madrid (UCM) has confirmed that the asteroid 2023 FW14, discovered last year, is accompanying the red planet in its journey round the sun, ahead of Mars and in the same orbit.

With this new member, the group of Trojans that accompany Mars has increased in number to 17. But it shows differences in its orbit and chemical composition which may indicate that it is a captured asteroid, of a primitive type. The results are published in Astronomy & Astrophysics.

A team from the Instituto de Astrofísica de Canarias (IAC) and the Universidad Complutense de Madrid (UCM) has observed and described for the first time the object 2023 FW14, a Trojan asteroid that shares its orbit with Mars. After Jupiter, the red planet has the largest number of known Trojans, totaling 17 with this new identification.

Nuclear nonproliferation scientists at the Department of Energy’s Oak Ridge National Laboratory have published the Compendium of Uranium Raman and Infrared Experimental Spectra, or CURIES, a public database and analysis of structure-spectral relationships for uranium minerals. This first-of-its-kind dataset and corresponding analysis fill a key gap in the existing body of knowledge for mineralogists and actinide scientists.

Laser based vibrational spectroscopy methods such as Raman and IR are frequently employed by nonproliferation materials scientists because they are rapid, nominally non-destructive, and can give direct insight to what a material contains. Where spectral assignments may be difficult, the CURIES database uses structural information, subject matter expertise and statistical analysis to determine key features of Raman spectra based on their structural origins.

“When I was in grad school studying uranium mineralogy, there was no single repository to look up a feature of a sample and compare it for identification,” said ORNL’s Tyler Spano, lead author on the CURIES article in American Minerologist. “What we did was bring together data from many different sources including structural information and spectroscopy to understand spectral features and similarities as they relate to chemical, structural and other properties.” The ORNL team hopes that CURIES will support researchers who are looking for new relationships among various types of uranium materials and foster development of rapid characterization and analysis of spectra collected on new materials.

A professor has developed a groundbreaking theory that provides a universal method for predicting melting points, addressing a century-old challenge in physics and offering significant benefits to materials science.

A longstanding problem in physics has finally been cracked by Professor Kostya Trachenko of Queen Mary University of London’s School of Physical and Chemical Sciences. His research, published in the Physical Review E, unveils a general theory for predicting melting points, a fundamental property whose understanding has baffled scientists for over a century.

Understanding States of Matter.

If you were to throw a message in a bottle into a black hole, all of the information in it, down to the quantum level, would become completely scrambled. Because in black holes this scrambling happens as quickly and thoroughly as quantum mechanics allows. They are generally considered nature’s ultimate information scramblers.