Work

Agentic AI and Machine Learning for Accelerated Materials Discovery and Applications

Year: 2026

Type: preprint

Abstract: Artificial Intelligence (AI), especially AI agents, is increasingly being applied to chemistry, healthcare, and manufacturing to enhance productivity. In this review, we discuss the progress of AI and agentic AI in areas related to, and beyond polymer materials and discovery chemistry. More specifically, the focus is on the need for efficient discovery, core concepts, and large language models. Consequently, applications are showcased in scenarios such as (1) flow chemistry, (2) biosensors, and (3) batteries.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2601.09027

Authors: Chen, Jihua, Christakopoulos, Panagiotis, Chen, Karuna D., Ivanov, Ilia N., Advincula, Rigoberto

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7124288563

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