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Advanced Materials Technologies· 2026Q1

Governing The Accelerator: The Case for National Collaboration in AI‐Enabled Materials Discovery

Richard Harry, Shanshan Mei, DEAN BALL

Short summary

A proposed two-tier leadership model for US AI-enabled materials discovery, pairing S&T labs with S&A centers, aims to govern reproducibility and interoperability amidst rapid technological advancement.

AI-generated from the title and abstract; the full text is not read.

Key points

  • AI is integrating data generation, prediction, and experimentation in materials discovery at an unprecedented rate.
  • Current institutional mechanisms for governing reproducibility, interoperability, and oversight in AI-driven materials discovery are underdeveloped.
  • A proposed two-tier leadership model involves S&T labs for technical capability and S&A centers for policy integration and governance.
  • The US risks governing AI in materials discovery slower than its advancement without a national coordinating framework.

AI-generated from the title and abstract; the full text is not read.

Abstract

ABSTRACT Artificial intelligence (AI) is reshaping materials discovery into a more integrated pipeline by combining data generation, surrogate prediction, and, in selected settings, closed‐loop experimentation at an unprecedented rate. However, the institutional mechanisms needed to govern reproducibility, interoperability, and oversight across these workflows remain underdeveloped. This perspective examines how federally funded research and development centers (FFRDCs) can close that gap across three domains: data and infrastructure, algorithmic intelligence, and autonomous experimentation. In each, absent a national coordinating body, these decisions default to institutions not built for coordination, accountability, or mission persistence. We propose a two‐tier leadership model in which science and technology (S&T) laboratories drive technical capability, while study and analysis (S&A) centers provide policy integration, cost‐benefit analysis, and governance frameworks to translate scientific output into national strategy. Without a coordinating framework, the United States risks advancing a technology faster than it can govern it. Meanwhile, foreign competitors pursue centralized national materials programs of their own.

The authors' abstract, as published at the source. Advanced Materials Technologies, 2026 · DOI ↗

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Field: Political Science and International Relations

Political Science and International RelationsSocial Sciences