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This research explores using hydrogels to increase the dimensionality of transistors, potentially enabling new flexible or bioelectronic devices.
Researchers engineered a van der Waals crystal that mimics neuronal cells, enabling light-driven learning, a step toward neuromorphic computing.
LapidaryEngine is a new AI model that enables fully conversational generation of crystal materials from free-form natural language, using a pivot representation for bidirectional translation and iterative refinement. It outperforms existing text-to-crystal systems by allowing intuitive, dialogue-like interaction.
This paper introduces AgentBuild, a framework for constructing LLM-based scientific agents using a scientist-authored contract that includes a rubric, curriculum, and knowledge base. It demonstrates this for Rietveld refinement of X-ray diffraction data, showing how the agent can be built and tuned.
Research reveals that gold's apparent inertness is due to a protective surface reconstruction into a hexagonal pattern, while a square lattice form is catalytically active. Nanoparticles lack the atoms for this reconstruction, revealing gold's reactive nature.
Researchers have developed a method to convert polystyrene waste into a solid material that effectively captures CO2 from both smokestacks and ambient air, with tunable properties that could help reduce plastic waste and the carbon footprint of carbon capture.
This paper introduces a categorical framework for distinguishing genuine scientific discovery from mere retrieval or search in self-improving AI agents, using category theory to formalize regime transitions. The authors demonstrate the framework with a protein mechanics example where an agent's accuracy drops as it tackles harder problems, but its theory compresses more data, indicating real discovery.
Proposes a hybrid framework coupling large language models with thermodynamic databases and simplified kinetic models for inorganic synthesis planning, using the niobium–oxygen system as a case study.
Researchers at the University of Illinois have demonstrated a scalable method to sequentially stack high-performance silicon circuits, achieving monolithic 3D integration within strict thermal budgets, which could extend Moore's Law beyond traditional transistor shrinking.
A collaboration between Ångström AI and AstraZeneca introduces CSP-MACE-Å, a machine learning interatomic potential that aims to replace DFT in crystal structure prediction, achieving comparable accuracy at much lower computational cost.
PolyFusionAgent is a framework that combines a multimodal polymer foundation model (PolyFusion) with a tool-augmented, literature-grounded design agent (PolyAgent) for polymer property prediction and inverse design, enabling evidence-linked discovery.
This paper investigates whether multimodal large language models (MLLMs) can leverage Miller indices as a latent representation to reason about crystallographic fracture geometry from visual inputs, evaluating their ability to infer physically valid plane hypotheses and determine when such representation is applicable across materials like ceramics, glass, metals, and concrete.
Neutron scattering experiments reveal the microstructural reasons why gluten-free pasta disintegrates during cooking, providing insights for improving its texture and integrity.
PRISMat is a cost-effective, permutation-invariant autoregressive model for generating crystal slabs conditioned on surface properties, achieving 4× lower error than previous models while being more efficient than LLMs.
Crys-JEPA introduces a joint embedding predictive architecture for crystals that learns an energy-aware latent space, achieving significant improvements in stability and novelty for de novo crystal discovery.
SandboxAQ has integrated its large quantitative models (LQMs) for drug discovery and materials science into Anthropic's Claude, enabling researchers to use these powerful tools through a natural language interface without specialized computing infrastructure.
Researchers discovered a new clathrate material formed spontaneously in trinitite glass from the 1945 Trinity nuclear test, revealing that extreme conditions can create novel materials with potential technological applications.
Scientists have discovered a new clathrate crystal structure in trinitite, the glassy residue from the first nuclear bomb test (Trinity test), revealing a cage-like lattice never before seen in nature or nuclear explosion products.
A study in Communications Sustainability explores using basalt instead of limestone to make cement, potentially cutting CO2 emissions by nearly 30% with fossil-fuel electricity and nearly eliminating them with clean electricity, though energy use doubles.
A blog post discusses the rarity of naturally occurring quasicrystals, which have only been found in a few exotic locations such as the Khatyrka meteorite, a lightning strike in Nebraska, and the Trinity atomic bomb test site.