The Lab of the Future: An Industrial Infrastructure for Scalable Molecular Innovation

ABSTRACT In modern molecular R&D, the cycle of designing, synthesizing, and testing molecules remains the rate‐limiting step for both drugs and materials. The Lab of the Future offers a way to compress this cycle from months to days through a new kind of industrial infrastructure that tightly integrates domain‐specific computational models ( Scientific AI ), automated robotic experimentation ( Physical AI ), and intelligent orchestration ( Agentic System ).

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Publication Details

Journal
National Materials
Published
2026-07-16
DOI
https://doi.org/10.1002/nam2.70009
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
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The Lab of the Future: An Industrial Infrastructure for Scalable Molecular Innovation

Peiyu Zhang, Li Li, Guangxu Sun, Mingjun Yang et al.
National Materials
Machine Learning in Materials Science
article

The Lab of the Future: An Industrial Infrastructure for Scalable Molecular Innovation

Peiyu Zhang, Li Li, Guangxu Sun, Mingjun Yang, Jian Ma, Yang Liu, Weidong Liu, Shuhao Wen, Xuekun Shi
article en

Abstract

ABSTRACT In modern molecular R&D, the cycle of designing, synthesizing, and testing molecules remains the rate‐limiting step for both drugs and materials. The Lab of the Future offers a way to compress this cycle from months to days through a new kind of industrial infrastructure that tightly integrates domain‐specific computational models ( Scientific AI ), automated robotic experimentation ( Physical AI ), and intelligent orchestration ( Agentic System ).

National Materials
Peking University (CN), Shenzhen Weiguang Biological Products (China) (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 18%
Machine Learning in Materials Science
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