Lawrence Livermore National Laboratory expands Claude for En…

劳伦斯利弗莫尔国家实验室（LLNL），作为美国顶尖的研究机构之一，正在将Claude for Enterprise的部署扩展到整个实验室。此次扩展将使约1万名科学家、研究人员和工作人员能够使用先进的人工智能能力。LLNL对Claude访问权限的扩展将助力核威慑、能源、材料科学和气候科学等领域的研究，这也是美国能源部国家实验室系统内最大规模的Claude for Enterprise部署之一。

基于成熟的合作伙伴关系

LLNL与Anthropic之间的这一扩展合作，展示了人工智能如何通过帮助科学家处理复杂数据集、生成假设并探索新的研究方向，从而提升政府研究工作的效率。该合作体现了人工智能在推动科学研究和国家安全方面的变革潜力，也为能源部网络中的其他国家实验室提供了可借鉴和适应的经验。

Anthropic公共部门负责人Thiyagu Ramasamy表示：“我们很荣幸支持LLNL通过科学和技术使命让世界更安全。这次合作展示了Anthropic前沿AI与世界级科学专业知识结合的可能性。”

LLNL首席技术官Greg Herweg表示：“LLNL一直处于计算科学的前沿。这次扩展合作展示了前沿AI如何增强世界级研究人员应对人类最紧迫挑战的能力。”

LLNL的Claude应用套件包括专为政府环境设计的强大安全功能。该平台扩展的上下文窗口能够在单次查询中处理数百份文档、超过10万行代码的完整代码库或复杂数据集，使科学家能够全面分析聚变实验、气候模型或核模拟。企业安全功能包括单点登录（SSO）、审计日志、基于角色的访问控制和端到端加密。

利用AI加速科学发现

LLNL科学家在多个学科领域使用Claude——从气候建模到材料科学再到计算生物学，具备推动科学突破的潜力。通过将Claude整合到日常工作中，LLNL研究人员能够：

• 加速科学发现：处理和分析复杂数据集，生成假设，并借助理解科学背景的AI助手探索新的研究方向。
• 增强协作：跨学科团队共享见解，构建集体知识，涵盖机密和非机密项目。
• 简化操作：减少在常规任务和文档上的时间投入，使科学家专注于高影响力研究，保持美国在核威慑、能源安全等关键领域的战略优势。

国家安全任务的安全与合规

Claude支持LLNL团队开展以下工作：

• 应急响应：分析国家大气释放咨询中心（NARAC）的数据，应对核、放射性、化学或生物事件。
• 能源安全：推进聚变能源研究，基于LLNL在2022年实现聚变点火的历史性成就。
• 先进制造：通过AI驱动的3D打印工艺和制造数据分析，加速材料发现和优化。
• 计算生物学：处理庞大的模拟数据集，推动生物安全研究，加快生物威胁检测能力。
• 高性能计算：优化代码开发和科学计算工作流程，最大化LLNL世界级超级计算资源的效能。
• 气候科学：提升气候建模和环境影响分析，支持国家气候韧性和安全规划。

此次扩展基于成功的试点项目，包括首次与美国国家实验室合作的AI Jam活动，以及3月举办的aiEDGE创新日，约3200名LLNL科学家和运营人员亲身体验了Claude如何加速和提升科学国家安全研究。

开始使用

有意通过Claude for Enterprise转型运营的组织，可联系Anthropic公共部门团队（pubsec@anthropic.com）了解更多信息并开始合作。

Lawrence Livermore National Laboratory (LLNL), one of the United States' premier research institutions, is expanding its deployment of Claude for Enterprise to its entire laboratory. This expansion will make advanced AI capabilities available to about 10,000 scientists, researchers, and staff. LLNL's expansion of Claude access will help bolster research across nuclear deterrence, energy, materials science, and climate science in one of the largest deployments of Claude for Enterprise within the U.S. Department of Energy's national laboratory system.

Building on proven partnership

This expanded partnership between LLNL and Anthropic serves as a blueprint for how AI can enhance government research operations by enabling scientists to process complex datasets, generate hypotheses, and explore new research directions with AI that understands scientific context. It demonstrates the transformative potential of AI in advancing scientific research and national security. It also helps develop approaches that other national labs in the Department of Energy network can learn from and adapt.

"We're honored to support LLNL's mission of making the world a safer place through science and technology," said Thiyagu Ramasamy, Anthropic’s Head of Public Sector. "This partnership shows what's possible when Anthropic’s cutting-edge AI meets world-class scientific expertise."

"LLNL has always been at the cutting edge of computational science," said Greg Herweg, Chief Technology Officer at Lawrence Livermore National Laboratory. "This expanded partnership demonstrates how frontier AI can amplify the capabilities of world-class researchers working on some of humanity's most pressing challenges."

LLNL's Claude application suite includes robust security features designed specifically for government environments. The platform's expanded context window can process hundreds of documents, entire codebases with 100,000+ lines, or complex datasets in a single query — enabling scientists to analyze fusion experiments, climate models, or nuclear simulations comprehensively. Enterprise security features include single sign-on (SSO), audit logging, role-based access controls, and end-to-end encryption.

Accelerating scientific discovery with AI

LLNL scientists are using Claude across disciplines—from climate modeling to materials science to computational biology—with potential to drive scientific breakthroughs. By integrating Claude across their operations, LLNL researchers are able to:

• Accelerate Scientific Discovery: Process and analyze complex datasets, generate hypotheses, and explore new research directions with an AI assistant that understands scientific context.
• Enhance Collaboration: Share insights and build on collective knowledge across interdisciplinary teams potentially spanning classified and unclassified projects.
• Streamline Operations: Reduce time spent on routine tasks and documentation, allowing scientists to focus on high-impact research that maintains American strategic advantage in critical areas from nuclear deterrence to energy security.

Security & compliance for national security missions

Claude supports LLNL teams working on:

• Emergency Response: Analyzing data from the National Atmospheric Release Advisory Center (NARAC) to respond to nuclear, radiological, chemical, or biological incidents
• Energy Security: Advancing fusion energy research building on LLNL's historic achievement of fusion ignition in 2022
• Advanced Manufacturing: Accelerating materials discovery and optimization through AI-driven analysis of 3D printing processes and manufacturing data
• Computational Biology: Processing vast simulation datasets to advance biosecurity research and accelerate biological threat detection capabilities
• High-Performance Computing: Optimizing code development and scientific computing workflows to maximize the impact of LLNL's world-class supercomputing resources
• Climate Science: Enhancing climate modeling and environmental impact analysis to support national climate resilience and security planning

This expansion follows a successful pilot program, the first-ever AI Jam with U.S. National Labs, and the aiEDGE for Innovation Day in March, where approximately 3,200 LLNL scientists and operational staff experienced firsthand how Claude can accelerate and enhance scientific national security research.

Getting started

Organizations interested in transforming their operations with Claude for Enterprise can contact our public sector team to learn more and get started.

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