Chemists and engineers find innovative ways to access water—including by pulling it out of thin air. Now, University of Chicago researchers found a way to extract even more water.

Forget about trying to interpret peaks and let machine learning identify organic compounds from their entirely smooth visible spectrum

If the electron’s charge wasn’t perfectly round, it could reveal the existence of hidden particles. A new measurement approaches perfection.

How does an iPhone predict the next word you're going to type in your messages? The technology behind this, and also at the core of many AI applications, is called a transformer; a deep-learning algorithm ...

Slater–Condon parameters and the spin–orbit (SO) coupling constants for various oxidation states of transition metal ions (3d/4d/5d) and trivalent f-block ions were calculated using minimal active space complete active space self-consistent field (CASSCF)…

A new electron-scattering experiment challenges our understanding of the first excited state of the helium nucleus.

MIT researchers developed a computational approach to predict which metal-organic framework (MOF) structures will be the most stable, and therefore the best candidates for applications such as capturing greenhouse gases.

Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have discovered new details about the electrons in a nickel-based family of superconducting materials. The research, ...

Bio-inspired molecules accelerate catalytic carbon dioxide reduction and offer advantages in stability and tuneability

Among all greenhouse gases, carbon dioxide is the highest contributor to global warming. If we do not take action by 2100, according to the Intergovernmental Panel on Climate Change, the average temperature ...

Electronics play a pivotal role in today's information society. Yet only the electron charge in electronic devices is at play, making energy dissipation an increasingly pressing issue that thwarts further ...

Even if you are not a quantum physicist, you will most likely have heard of Schrödinger's famous cat. Erwin Schrödinger came up with the feline that can be alive and dead at the same time in a thought ...

Putting hydrogen on solid ground: simulations with a machine learning model predict a new phase of solid hydrogen. A machine-learning technique developed by University of Illinois Urbana-Champaign researchers has revealed a previously undiscovered high-pressure…

In this perspective, the various measures of electron correlation used in wave function theory, density functional theory and quantum information theory are briefly reviewed. We then focus on a more traditional metric based on dominant weights in the full…

The exponential growth and success of machine learning (ML) has resulted in its application in all scientific domains including material science. Advancement in experimental techniques has led to an increase in the volume of material science data encouraging…

A quantum computer, named after a slaughtered pig, is being used to test a new approach to modelling quantum chemistry

The entire scientific publishing world is currently undergoing a massive stress test of quantity vs. quality, open access (free) vs. institutional subnoscriptions (paywall), and how to best judge the integrity ...

Plastics are everywhere in our daily lives, but not all plastics are created equal—far from it.

The glowing dots in these images are single rubidium atoms, pristinely arranged in arrays about as wide as a human hair. The team of CQT Principal Investigator Loh Huanqian captured these pictures to ...