AI for Scientific Discovery and Sustainability: A Humanoid Perspective | IJCT Volume 13 – Issue 1 | IJCT-V13I1P15

[1] How AI and Automation are Speeding Up Science and Discovery. https://newscenter.lbl.gov/2025/09/04/how-berkeley-lab-is-using-ai-and-automation-to-speed-up-science-and-discovery/ [2] AI transformations for sustainability – Microsoft On the Issues. https://blogs.microsoft.com/on-the-issues/2025/01/16/ai-transformations-for-sustainability/ [3] Gen AI in Scientific Research: Transforming Discoveries. https://xite.ai/blogs/generative-ai-in-scientific-research-accelerating-discoveries-and-innovations/ [6] Using AI for Sustainability Case Studies. https://coaxsoft.com/blog/using-ai-for-sustainability-case-studies-and-examples [4] 10 Key AI Research Breakthroughs from 2025 So Far. https://fueler.io/blog/key-ai-research-breakthroughs-from-so-far [7] Top 20 Sustainability AI Applications & Examples in 2026. https://research.aimultiple.com/sustainability-ai/ [11] AI and Sustainability: Opportunities, Challenges, and Impact. https://www.ey.com/en_nl/insights/… [10] AI in Science and Sustainability: Transforming the Future. https://quantilus.com/article/ai-in-science-and-sustainability-transforming-the-future/ [5] The Role of AI in Scientific Discovery. https://www.ijrti.org/papers/IJRTI2503148.pdf [13] Future of AI for Sustainability. https://www.sganalytics.com/blog/future-of-ai-for-sustainability/ [12] AI for Sustainability: Challenges. https://www.sciencedirect.com/science/article/pii/S0268401220300967 [15] How AI May Reshape Sustainability Efforts in 2026. https://www.forbes.com/sites/shookabidarian/2026/01/09/how-ai-may-reshape-sustainability-efforts-in-2026/ [8] A Generative Model for Inorganic Materials Design. https://www.nature.com/articles/s41586-025-08628-5 [9] MatterGen: A New Paradigm of Materials Design. https://www.microsoft.com/en-us/research/blog/mattergen.