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‘Shoot for the moon?’ Aim a bit lower, researchers say

How ambitious should you be? Folk wisdom offers conflicting advice: “Shoot for the moon,” but also, “Don’t let the perfect be the enemy of the good.” A new study by researchers at the University of Wyoming, Stanford University and the University of Colorado-Boulder used a mathematical model to show that ambition lies in the middle—above average but finite.

“Conventional wisdom tells people not to settle, but also not to let the perfect be the enemy of the good,” says lead author Kath Landgren, a postdoctoral scholar at Stanford’s Doerr School of Sustainability. “We wanted to see whether the math actually supports that intuition. It does, with some interesting twists.”

Quantum computing could transform energy grid optimization and security

Modern power systems are rapidly evolving into highly digitized smart grids, increasing their complexity at an unprecedented pace. Renewables, batteries, electric vehicles, power electronics, sensors and real-time control systems are all expanding rapidly, and this is making electricity grids significantly harder to simulate, optimize, secure and operate.

This is driven by the increasing energy demands of a tech-driven modern world. Think of a suburban street in 2005—every house pulled electricity from the grid, and power flowed in one direction from big power stations.

This same street in 2026 might have houses with rooftop solar exporting power back into the grid; electric vehicles (EVs) that need to charge overnight; home batteries storing solar energy and feeding it back into the grid when prices spike; electric busses, electric irrigation pumps, automated machinery and smart appliances that turn on and off based on grid signals.

Quantum vibronics research points to future energy and computing technologies

Scientists at the University of California, Riverside are making breakthroughs in understanding how quantum wave functions move across ultra-thin materials—research that could eventually improve solar energy technologies and help lay the groundwork for new forms of quantum computing.

The researchers are part of UCR’s Center for Quantum Vibronics in Energy and Time (QuVET), which was established two years ago and focuses on “vibronics,” the interaction between vibrations and electronic quantum states. The center examines both biological molecules and synthetic layered materials, where the same fundamental quantum processes emerge across vastly different systems.

Its research brings together physicists, chemists, engineers, and biochemists from multiple institutions to better understand how vibrations shape quantum behavior.

A versatile self-cleaning fabric coating as a detergent-free laundry product

face_with_colon_three Self cleaning fabric coating. This could reduce the need for detergent and other chemicals that could be harmful to the environment.


Routine household laundry leads to the release of detergent residues and textile-derived microplastics, contributing to water pollution. Here, the authors report a self-cleaning polyelectrolyte multilayer coating that can be applied to both hydrophobic synthetic fibers and hydrophilic cotton textiles to remove food stains, oily residues, and pathogens, providing a detergent-free laundry product requiring reduced rinsing.

Peter Joseph: We Are All Subjected To The Same Natural Law System

13 years ago, I sat down with Peter Joseph, musician, filmmaker, and founder of the Zeitgeist Movement.

His argument was simple, and uncomfortable: the system we live under (debt-based money, work-for-survival economics, infinite growth on a finite planet) isn’t broken. It’s working exactly as designed. And it’s running out of runway.

In 2013, this sounded radical. In 2026, it sounds like a weather report.

We covered a lot of ground in 75 minutes: the Resource-Based Economy, the role of Artificial Intelligence in managing scarcity, the schism between Zeitgeist and the Venus Project, sustainability, central planning, and the technological singularity itself.

You don’t have to agree with Peter to take the conversation seriously. I don’t agree with all of it. But the questions he was asking back then are the questions we’re being forced to ask now, except we’re asking them in an era when AI systems can actually do things he could only theorize about.

The technology has caught up with the critique. The philosophy hasn’t caught up with the technology.

New magnesium alloy design improves stability and ion transport in solid-state batteries

The modern world runs on invisible energy. Hidden inside smartphones, laptops, and electric vehicles, are batteries that quietly power everyday life. As society becomes increasingly dependent on portable and sustainable energy, the development of compact and reliable battery technology has become one of the most important technological challenges of our time.

Lithium-ion batteries currently dominate the battery industry, but alternatives that could offer improved safety, lower cost, and higher energy density are being actively explored. Solid-state magnesium batteries have long been considered a promising next-generation energy technology. However, instability inside these batteries remains a major obstacle to their development.

Supercharging solar cells: Quantum dot-molecule hybrid states enable near-maximum efficiency

Solar panels have become more efficient over the years, but even the best designs still lose a large fraction of the energy they absorb. Scientists around the world have been searching for ways to capture more energy from every ray of sunlight and unlock the true potential of solar technology.

In a study published in Nature Photonics, researchers from the University of Osaka and collaborating institutions identified a new mechanism that could help us do exactly that. The study shows how specially designed combinations of molecules and quantum dots can be used to dramatically increase solar cell efficiency beyond currently known limits.

Singlet exciton fission is a photophysical phenomenon in which one particle of light creates two excited energy states instead of one. In theory, this allows solar cells to generate more electricity from the same amount of sunlight. However, the most effective photophysical processes require extra energy and are usually inefficient and difficult to control.

MIT researchers use AI to uncover atomic defects in materials

In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful new properties. Today, atomic-scale defects are carefully introduced during the manufacturing process of products like steel, semiconductors, and solar cells to help improve strength, control electrical conductivity, optimize performance, and more.

But even as defects have become a powerful tool, accurately measuring different types of defects and their concentrations in finished products has been challenging, especially without cutting open or damaging the final material. Without knowing what defects are in their materials, engineers risk making products that perform poorly or have unintended properties.

Now, MIT researchers have built an AI model capable of classifying and quantifying certain defects using data from a noninvasive neutron-scattering technique. The model, which was trained on 2,000 different semiconductor materials, can detect up to six kinds of point defects in a material simultaneously, something that would be impossible using conventional techniques alone.

Scientists generate electricity from ambient moisture using everyday ingredients

In a study published in Nano Energy, researchers from Queen Mary, the University of Warwick, Imperial College London, and Universitas Mercatorum report a highly stable, biodegradable Moisture-Electric Generator (MEG). The device is fabricated from food-grade materials including gelatin, sodium chloride (table salt), and activated carbon, and harnesses humidity—typically a major challenge for electronics—as its energy source.

This approach represents a significant shift in electronic design, transforming atmospheric moisture from a limitation into a functional energy input.

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