AI & Environment Resource HubAtte Antikainen; Tuomas Jokiaho; Kimmo Kaunisto; Aloshious Lambai; Anssi Laukkanen; Tomi Lindroos; Lassi Linnala; Marko Mäkipää; Supriya Nandy; Janne Pakarinen; Tatu Pinomaa; Mikko Tahkola; Akhtar Zeb · 2025-04-26
This paper presents SOLID-MAP, an AI-driven material acceleration platform that integrates active learning, thermodynamic modeling, and high-throughput experimentation to rapidly discover and evaluate high-entropy alloys for energy-relevant applications.
Atte Antikainen; Tuomas Jokiaho; Kimmo Kaunisto; Aloshious Lambai; Anssi Laukkanen; Tomi Lindroos; Lassi Linnala; Marko Mäkipää; Supriya Nandy; Janne Pakarinen; Tatu Pinomaa; Mikko Tahkola; Akhtar Zeb. 2025-04-26. SOLID-MAP: Development of a Materials AccelerationPlatform for High-Entropy Alloys. https://link.springer.com/epdf/10.1007/s11665-025-11504-y?sharing_token=T_s1yLNEJ3x3nVvq4Su9-ve4RwlQNchNByi7wbcMAY4Fqs3P1dpB99tTThGWORE13-2ZSPaYIZnLofwcRaFFxt1VKzDup1dfnAp5sZJM8VNUxsTvhuWrxm6h-bUw0vyrH9mWNpaWl8MmhzblPBFumYGamWuWl3_yiSthRJEqmIA%3D (AI & Environment Resource Hub; record paper-320; collection snapshot 2026-09-15).
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Shared topics: Energy and electricity; Materials and critical minerals; E-waste and circularity
This machine learning project explores air quality in Beijing from 2010 to 2014, focusing on predicting fine particulate matter (PM2.5) and how it evolves over time in relation to meteorological and seasonal factors. The dataset is a time series, with hourly readings of PM2.5 and weather conditions such as temperature, wind speed, and pressure.
Shared topics: Energy and electricity; Materials and critical minerals; E-waste and circularity
This scorecard evaluates the eight hyperscaler tech / AI companies with U.S.-based data centers on one simple question: are their data centers running on clean energy, or fossil fuels like gas, oil, and coal?
Shared topics: Energy and electricity; Materials and critical minerals; E-waste and circularity
As demand for energy skyrockets amid the rise of AI, one of Tesla’s co-founders is betting on a new solution: giving old EV batteries a second life. JB Straubel, who helped launch Tesla and served as its CTO until 2019, founded Redwood Materials in 2017 to recycle batteries and build a closed-loop supply chain for electric vehicles. Now, Straubel is using EV batteries that still hold usable capacity for grid-scale energy storage. Redwood’s new energy division recently partnered with AI infrastructure company Crusoe to launch its first microgrid, showcasing how repurposed batteries can help power data centers. CNBC visited Redwood’s Nevada operations to see how the company has grown and to learn more about its plans to use second-life batteries to meet the surging energy needs of the AI era.
Shared topics: Materials and critical minerals; E-waste and circularity
Matbench Discovery is a benchmarking framework for machine learning models used in materials discovery, highlighting the importance of task-specific metrics and demonstrating that universal interatomic potentials can effectively pre-screen stable inorganic materials in high-throughput workflows.