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CARAT introduces a matched-evidence benchmark to test whether materials LLMs truly reason over crystal structures or merely recite answers printed in their inputs, finding large apparent gains that largely measure baseline gaps rather than reasoning ability.
研究提出一种潮湿电壁纸（Moist-Electric Wallpaper），可用于室内能量收集与湿度管理，为自供能智能室内材料提供了新思路。
Scientists at Lila initially doubted their AI workflow's material selections, but continued testing revealed a catalyst that survived over 1,000 hours in acidic lab conditions, highlighting the value of exploring unconventional ideas in research.
C5R has built a research facility that is entirely run by the AI model GPT-6 Astra, enabling autonomous design, execution, and observation of experiments across multiple scientific disciplines.
Nuceptive Labs, a startup with low-pain adhesive technology for wound care, is seeking a Chief Commercial Officer to expand healthcare market traction for their skin-friendly products.
Solcoa Tech has secured $75 million in financing to build Solcoa One, its first commercial rare earth metallization plant.
Microsoft Research's RetroChimera, a predictive model for retrosynthesis, is published in Nature, helping to accelerate chemical synthesis for advances in medicine, materials, and agriculture.
This paper presents a method for regenerating used batteries through the dissolution of the electrode-electrolyte interphase, aiming to improve battery recycling and sustainability.
The article discusses how advanced materials are critical for AI infrastructure, with companies like Syensqo using AI to accelerate materials discovery and address challenges in semiconductors and data centers while emphasizing sustainability.
The Neon project utilizes AI and high-throughput laboratories to establish a loop between experiments and models, aiming to accelerate materials research and development.
Liam Fedus describes the setup of high-throughput materials labs in Menlo Park that create a loop between experiments and AI models, using 1,300 H200 GPUs and experimental data to mid-train models for next-step decisions.
Researchers at Yunnan University have developed perovskite solar cells that can generate electricity underwater by tuning them for specific light wavelengths and enhancing durability with additives.
The article advises close observation of AI's growing capabilities in materials science and bioscience fields.
Scientists used mass spectrometry-based proteomics to analyze ancient Egyptian artifacts, discovering the use of animal-derived proteins like cow glue in adhesives and paints.
This comment discusses the convergence of AI reasoning, autonomous experiments, high performance computing, and quantum computing to reshape chemistry and accelerate materials science discovery.
Chinese scientists have developed an aluminum material inspired by eggshells to enhance spacecraft protection against space debris, as detailed in a new paper in the Journal of Applied Physics.
The paper proposes a data-driven constitutive modeling framework using neural operators with causal attention to predict stress response in path-dependent materials, focusing on plasticity and damage, with accurate and parallelizable predictions.
A new study finds that charged raindrops can electrically damage protective coatings like Teflon, leading to corrosion through a spark mechanism similar to lightning bolts.
Gemini Co-Scientist, a Gemini-based multi-agent system, has been validated in real-world scientific research across materials science, biology, and computer science, demonstrating capabilities in experimental design, outcome prediction, and improving AI-generated research.
Packora is a flow-based generative model for molecular crystal structure prediction that jointly predicts atomic coordinates and lattice from molecular graphs, outperforming baselines in generation and ranking benchmarks.