A new study in the lab of Jason Stein, Ph.D., modeled brain development in a dish to identify cells and genes that influence infant brain growth, a trait associated with autism.
Researchers have made great strides to understand early signs of autism.
Studies have found that certain factors like genetics, sleep deprivation, excess fluid in the brain—and brain size—can increase the risk of neurodevelopmental conditions, like autism.
Stuck in front of our screens all day, we often ignore our senses beyond sound and vision. And yet they are always at work. When we’re more alert, we feel the rough and smooth surfaces of objects, the stiffness in our shoulders, the softness of bread.
In the morning, we may feel the tingle of toothpaste, hear and feel the running water in the shower, smell the shampoo, and later the aroma of freshly brewed coffee.
Aristotle told us there were five senses. But he also told us the world was made up of five elements and we no longer believe that. And modern research is showing we may actually have dozens of senses.
Hydrogen production through water electrolysis is a cornerstone of the clean energy transition, but it relies on efficient and stable catalysts that work under acidic conditions—currently dominated by precious metals like iridium and platinum.
A research team from the Singular Center for Research in Biological Chemistry and Molecular Materials (CiQUS) in Spain, led by María Giménez-López, has made a fundamental advance toward Earth-abundant alternatives. Their work, published in the journal Advanced Materials, shows that a single molecular compound can act as a catalytic “switch,” toggling between oxygen and hydrogen production.
Over the past decade, colloidal quantum dots (QDs) have emerged as promising materials for next-generation displays due to their tunable emission, high brightness, and compatibility with low-cost solution processing. However, a major challenge is achieving ultrahigh-resolution patterning without damaging their fragile surface chemistry. Existing methods such as inkjet printing and photolithography-based processes either fall short in resolution or compromise QD performance.
To address this, a research team led by Associate Professor Jeongkyun Roh from the Department of Electrical Engineering, Pusan National University, Republic of Korea, has introduced a universal, photoresist-free, and nondestructive direct photolithography method for QD patterning. Instead of exposing QDs to harsh chemical modifications, the team engineered a photocrosslinkable blended emissive layer (b-EML).
This layer is formed by mixing QDs with a hole-transport polymer and a small fraction of an ultraviolet (UV)-activated crosslinker, enabling precise patterning while preserving QD integrity. The study was published in the journal of Advanced Functional Materials on 29 September 2025.
Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving their explainability and reliability is constrained by massive resource requirements for examining and adjusting their behavior.
To tackle this challenge, a Manchester research team led by Dr. Danilo S. Carvalho and Dr. André Freitas have developed new software frameworks—LangVAE and LangSpace—that significantly reduce both hardware and energy resource needs for controlling and testing LLMs to build explainable AI. Their paper is published on the arXiv preprint server.
Their technique builds compressed language representations from LLMs, making it possible to interpret and control these models using geometric methods (essentially treating the model’s internal language patterns as points and shapes in space that can be measured, compared and adjusted), without altering the models themselves. Crucially, their approach reduces computer resource usage by more than 90% compared with previous techniques.
Could an electric vehicle travel from Seoul to Busan and back on a single charge? Could drivers stop worrying about battery performance even in winter? A Korean research team has taken a major step toward answering these questions by developing an anode-free lithium metal battery that can deliver nearly double driving range using the same battery volume.
A joint research team led by Professor Soojin Park and Dr. Dong-Yeob Han of the Department of Chemistry at POSTECH, together with Professor Nam-Soon Choi and Dr. Saehun Kim of KAIST, and Professor Tae Kyung Lee and researcher Junsu Son of Gyeongsang National University, has successfully achieved a volumetric energy density of 1,270 Wh/L in an anode-free lithium metal battery. This value is nearly twice that of current lithium-ion batteries used in electric vehicles, which typically deliver around 650 Wh/L. The article is published in Advanced Materials.
An anode-free lithium metal battery eliminates the conventional anode altogether. Instead, lithium ions stored in the cathode move during charging and deposit directly onto a copper current collector. By removing unnecessary components, more internal space can be devoted to energy storage, much like fitting more fuel into the same-sized tank.
Scientists can finally hear the brain’s quietest messages—unlocking the hidden code behind how neurons think, decide, and remember.
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