A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has ...

Cornell researchers are demonstrating how artificial intelligence—particularly deep learning and generative modeling—can accelerate the design of new molecules and materials, and even function as an ...

Scientists have expanded on a longstanding model governing the mechanics behind slip banding, a process that produces strain marks in metals under compression, gaining a new understanding of the ...

The advent of large language models (LLMs) has started to reshape many technology development efforts and research roadmaps. Apart from transforming the space of natural language processing, LLMs have ...

(a) A feasible route for developing large materials models capable of describing the structure-property relationship of materials. The universal materials model of DeepH accepts an arbitrary material ...

Recent progress in deep learning has significantly impacted materials science, leading to accelerated material discovery and innovation. ElemNet, a deep neural network model that predicts formation ...

Google Cloud will offer SandboxAQ’s large quantitative models for drug discovery, materials science and chip-making, alongside Gemini for Science.

Google Cloud adds SandboxAQ's scientific AI models for drug discovery, materials science and semiconductor research.

MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...

How nanoscale control changed materials science, from atomic-level design in coatings and quantum materials to bio-inspired ...