In this paper, we discuss the need for an integrated software stack that unites artificial intelligence (AI) and modeling and simulation (ModSim) tools to advance scientific discovery. The authors advocate for a unified AI/ModSim software ecosystem that ensures compatibility across a wide range of software on diverse high-performance computing systems, promoting ease of deployment, version management, and binary distribution. Key challenges highlighted include balancing the distinct needs of AI and ModSim, especially in terms of software build practices, dependency management, and compatibility. The document underscores the importance of continuous integration, community-driven stewardship, and collaboration with the Department of Energy (DOE) to develop a portable and cohesive scientific software ecosystem. Recommendations focus on supporting standardized environments through initiatives like the Extreme-scale Scientific Software Stack (E4S) and Spack to foster interdisciplinary innovation and facilitate new scientific advancements.

翻译：本文探讨了构建集成人工智能（AI）与建模模拟（ModSim）工具的统一软件栈以推动科学发现的必要性。作者主张建立统一的AI/ModSim软件生态系统，确保各类高性能计算系统中广泛软件的兼容性，提升部署便捷性、版本管理与二进制分发的效率。研究重点揭示了平衡AI与ModSim差异化需求的关键挑战，特别是在软件构建实践、依赖关系管理和兼容性方面。本文强调了持续集成、社区驱动治理以及与能源部（DOE）合作的重要性，以开发可移植且协调统一的科学软件生态系统。建议通过极端规模科学软件栈（E4S）和Spack等标准化环境支持计划，促进跨学科创新并助力新的科学突破。