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Unveiling the Brilliant Hues of Electrons: Insights from Electron Imaging

Surfaces play a key role in numerous chemical reactions, including catalysis and corrosion. Understanding the atomic structure of the surface of a functional material is essential for both engineers and chemists. Researchers used atomic-resolution secondary electron (SE) imaging to capture the atomic structure of the very top layer of materials to better understand the differences

The Unseen Diversity in the World of Chemists Beyond AI Depictions

Asking children 'What does a scientist look like?' now results in more illustrations of women and people of color than decades ago. But do generative artificial intelligence (AI) tools also depict the diversity among scientists? Researchers prompted AI image generators for portraits of chemists. They found that none of the collections accurately represents the gender

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Unveiling the Brilliant Hues of Electrons: Insights from Electron Imaging

Surfaces play a key role in numerous chemical reactions, including catalysis and corrosion. Understanding the atomic structure of the surface of a functional material is essential for both engineers and chemists. Researchers used atomic-resolution secondary electron (SE) imaging to capture the atomic structure of the very top layer of materials to better understand the differences

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Unveiling the Brilliant Hues of Electrons: Insights from Electron Imaging

Surfaces play a key role in numerous chemical reactions, including catalysis and corrosion. Understanding the atomic structure of the surface of a functional material is essential for both engineers and chemists. Researchers used atomic-resolution secondary electron (SE) imaging to capture the atomic structure of the very top layer of materials to better understand the differences

Enhancing the Art of Conversation in AI Systems

Linguistics and computer science researchers have discovered some of the root causes of why AI large language models perform poorly in human-like conversations. When you have a conversation today, notice the natural points when the exchange leaves open the opportunity for the other person to chime in. If their timing is off, they might be

The Unseen Diversity in the World of Chemists Beyond AI Depictions

Asking children 'What does a scientist look like?' now results in more illustrations of women and people of color than decades ago. But do generative artificial intelligence (AI) tools also depict the diversity among scientists? Researchers prompted AI image generators for portraits of chemists. They found that none of the collections accurately represents the gender
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Revolutionizing Sustainable Chemical Processing: The Power of Halogen Bonding for Targeted Electrochemical Separation

A team has reported the first demonstration of selective electrochemical separation driven by halogen bonding. This was achieved by engineering a polymer that modulates the charge density on a halogen atom when electricity is applied. The polymer then attracts only certain targets -- such as halides, oxyanions, and even organic molecules -- from organic solutions

The Ultimate Motion Sensor: A Game Changer in Home Security

Researchers have used silicon photonic microchip components to perform a quantum sensing technique called atom interferometry, an ultra-precise way of measuring acceleration. It is the latest milestone toward developing a kind of quantum compass for navigation when GPS signals are unavailable. Peel apart a smartphone, fitness tracker or virtual reality headset, and inside you'll find

The Science of Spin: How Modern Bowlers Outsmart Batsmen

Researchers have started to unravel the mysteries of how near-horizontal bowling in cricket leads to such tough-to-hit balls. The team employed a wake survey rake device made of multiple tubes designed to capture the pressure downstream of the ball and examined the flow dynamics of cricket balls rotating up to 2,500 rpm in a wind

MIT Researchers Leverage Large Language Models to Identify Issues in Complex Systems

Researchers used large language models to efficiently detect anomalies in time-series data, without the need for costly and cumbersome training steps. This method could someday help alert technicians to potential problems in equipment like wind turbines or satellites. Identifying one faulty turbine in a wind farm, which can involve looking at hundreds of signals and

Harnessing Sound to Unveil the Secrets of Martian Winds

Martian landers have been able capture measurements of wind speeds -- some gauging the cooling rate of heated materials when winds blow over them, others using cameras to image 'tell-tales' that blow in the wind -- but there's still room for improvement. Researchers now demonstrate a novel sonic anemometric system featuring a pair of narrow-band

Eco-Friendly Delivery Robots: A Sustainable Choice for Today’s Consumers

The smaller carbon footprint, or wheel print, of automatic delivery robots can encourage consumers to use them when ordering food, according to a new study. The suitcase-sized, self-driving electric vehicles are much greener than many traditional food delivery methods because they have low, or even zero, carbon emissions. In this study, participants who had more

Revolutionizing Robot Collaboration: A Fresh Approach to Teamwork in Automation

New research shows that programming robots to create their own teams and voluntarily wait for their teammates results in faster task completion, with the potential to improve manufacturing, agriculture and warehouse automation. New research from the University of Massachusetts Amherst shows that programming robots to create their own teams and voluntarily wait for their teammates

Bendable Metamaterials: Engineering the Future with a Nod to Nostalgic Toys

Common push puppet toys in the shapes of animals and popular figures can move or collapse with the push of a button at the bottom of the toys' base. Now, a team of engineers has created a new class of tunable dynamic material that mimics the inner workings of push puppets, with applications for soft

New Research Debunks AI’s Existential Threat to Humanity

Large Language Models (LLMs) are entirely controllable through human prompts and lack 'emergent abilities'; that is, the means to form their own insights or conclusions. Increasing model size does not lead LLMs to gain emergent reasoning abilities, meaning they will not develop hazardous abilities and therefore do not pose an existential threat. A new study

Revolutionary Research Paves the Way for Sustainable Chemistry Solutions

Researchers have introduced a new advancement in the fight against climate change. Their study showcases a novel method for understanding the mechanisms of carbon dioxide re-utilization leading to fuels and chemicals. This work paves the road for the further optimization of this catalytic process driven by renewable electricity. A recent publication in Nature Communications by

Revolutionizing Wearables: The Future of Full-Color Fiber LEDs with Perovskite Quantum Wires

A research team has developed full-color fiber light-emitting diodes utilizing perovskite quantum wires (PeQWs), paving the way for innovative wearable lighting and display devices. A research team led by the School of Engineering of the Hong Kong University of Science and Technology (HKUST) has developed full-color fiber light-emitting diodes utilizing perovskite quantum wires (PeQWs), paving

Engineers Spotlight Enhanced Efficiency in Optical Neural Networks

Researchers have published a programmable framework that overcomes a key computational bottleneck of optics-based artificial intelligence systems. In a series of image classification experiments, they used scattered light from a low-power laser to perform accurate, scalable computations using a fraction of the energy of electronics. EPFL researchers have published a programmable framework that overcomes a