chemistry

Deep Principle released Hydrogen-1.0, an open-weight model post-trained from GLM-5.3 for chemistry, materials science, and life sciences, showcased via a short film of it embedded in a daily research workflow alongside their Mira AI Scientist assistant.

Researchers introduce Solvent, an 8B LLM that extends long-horizon reasoning to multi-step retrosynthesis through a two-round post-training curriculum combining RL and iterative route revision, achieving 61.86% across four benchmarks and rivaling frontier trillion-parameter models.

The paper introduces RxnExBench, a multimodal benchmark of 3,565 expert-annotated reactions for evaluating vision-language models on structured chemical reaction extraction from scientific literature, revealing that multimodal integration and chemistry-aware reasoning remain key bottlenecks across 9 state-of-the-art VLMs.

文章探讨了阻燃剂通过海洋食物链进入海鲜并最终影响人类健康的问题，关注这类化学污染物在环境中的迁移与富集。

Columbia University researchers found that microplastics are not chemically inert in water: six common plastics generate reactive hydroxyl radicals at the water-plastic boundary, degrading dyes and potentially causing oxidative stress, according to a new Nature study. The health impact on humans remains under investigation.

Researchers developed a chemistry-based approach that allows new tattoos to be turned on and off, effectively creating switchable, reconfigurable body art. The work highlights advances in responsive materials for wearable applications.

Henri Kagan and Kensō Soai won the 2026 Nobel Prize in Chemistry for solving the mystery of chemical asymmetry—explaining why life uses only one mirror-image form of molecules and enabling more selective asymmetric catalysis for drug and materials manufacturing.

The 2026 Nobel Prize in Chemistry goes to Henri Kagan and Kenso Soai for discovering asymmetric chemical reactions that produce large excesses of one mirror-image form of a molecule — a breakthrough with major implications for understanding how life developed its single-handed biochemistry.

RetroGEF is a flow-based generative model for single-step retrosynthesis that models molecular transformations and variable graph size within one unified process, achieving state-of-the-art results on standard retrosynthesis benchmarks. It constructs reactant graphs directly from product–reactant pairs without requiring a fixed graph canvas or a prescribed edit order.

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.

MolDesignBench is a new benchmark for evaluating LLM-based agents in scenario-grounded molecular design, comprising 2K instances with implicit and explicit constraints, revealing that current frontier LLMs achieve low success rates, especially in reasoning about implicit constraints and infeasibility detection.

The article uses chemical corrosion models to analyze the fictional beverage grog from the Monkey Island video game, estimating its composition to explain its rapid dissolution of metal mugs as depicted in the game.

The article explores Liesegang rings, a chemical phenomenon that forms geometric patterns in gels, and discusses the author's experiments and interest in non-equilibrium statistical mechanics for understanding pattern formation.

DianShi-RxnDB is a large-scale data platform that extracts and normalizes millions of organic reaction data from patents via an automated pipeline to support AI-driven chemistry research.

The article discusses the pharmacokinetics of dextromethorphan (DXM) and introduces dextroproporphan as a chemical analogue designed to improve its antidepressant effects by preventing conversion to DXO.

Synthon 350M, a single-step retrosynthesis model, is launched by rasyn_lab, achieving state-of-the-art performance on the USPTO-50K benchmark with top-1 accuracy of 66.23% in single-shot settings.

This paper introduces an enhanced C3LM model for single-step retrosynthesis using Top-K prompting and a larger training dataset, demonstrating competitive performance with conventional models on the URSA-expert-2026 benchmark.

WIRED profiles Willy Myco, a masked psychedelic educator who posts how-to videos on synthesizing drugs like LSD and psilocybin, leading to his YouTube and Patreon accounts being taken down.

This paper investigates how molecular generative models internally organize molecular identity in their latent spaces, revealing piecewise-constant regions and coarse-to-fine boundaries across three architectures.

This paper introduces SEE, a multimodal benchmark of expert-curated questions for scientific discovery in chemistry, biology, and materials science. Evaluation of 19 MLLMs shows the best model reaches only 48.7% accuracy, and even with tool use only 52.7%, revealing that current models lack reliable evidence-bounded scientific reasoning.