Tag: Materials Industry

[ASAP] Lossless and Lossy Characterization of the State of Perturbed Anharmonic Diatomics: An Information-Theoretic Compaction of Quantum Dynamics

Journal of Chemical Theory and ComputationDOI: 10.1021/acs.jctc.6c00025 Source: http://dx.doi.org/10.1021/acs.jctc.6c00025

Fusion Breakthrough: Google Venture-Backed Inertia Raises $450M to Build World’s Most Powerful Clean Energy Laser

Inertia Enterprises, a fusion energy startup, has raised $450 million in a Series A funding round. The capital will help the company build the...

India’s Solar and Renewable Energy Outlook to 2030: Impact of the US-India 18% Tariff Cut on Exports

In February 2026, the United States and India reached a landmark trade deal that reshaped clean energy trade between the two nations. The agreement...

Multilayer film design meets machine learning

Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge the status quo, exploring recyclable alternatives...

Enhancing bioavailability of alkaline-lysed waste activated sludge by using sodium acetate to suppress iron-mediated humification

Publication date: April 2026Source: Bioresource Technology, Volume 446Author(s): Changwen Xu, Jing Yang, Hao Shen, Xueyu Huo, Fang Dong, Lei Ding, Chunhua He, Wei Wang Source:...

Industry Ag News 2/18

U.S. Secretary of Agriculture Brooke L. Rollins announced that the U.S. Department of Agriculture (USDA) is providing $1 billion in Assistance for Specialty Crop...

Influence of customer satisfaction and perceived water service quality on urban water supply management: A systematic review

Publication date: May 2026Source: Cleaner and Responsible Consumption, Volume 21Author(s): Ryuji Ogata, Shigeyuki Matsumoto, Takahiro Otsuka, Yoko Hattori, Hidetoshi Kitawaki Source: https://www.sciencedirect.com/science/article/pii/S2666784326000033?dgcid=rss_sd_all

[ASAP] A General Predictive and Conceptual Model for Repulsive Electronic States in Valence Ionized Molecules

Journal of Chemical Theory and ComputationDOI: 10.1021/acs.jctc.5c01937 Source: http://dx.doi.org/10.1021/acs.jctc.5c01937

From micro-pixels to macro-performance: An explainable machine learning framework for xanthan gum-stabilized expansive soils via AI-assisted trainable weka segmentation

Publication date: 20 February 2026Source: Journal of Cleaner Production, Volume 545Author(s): Muhammad Hamza, Wen-Bo Chen, Jing-Cheng Teng, Han-Jiang Lai, Akhtar Rehman, Muhammad Israr Khan Source:...

[ASAP] Improving Thermal Cycling Stability and Magnetocaloric Efficiency via Orbital Competition and Entropy Engineering in Rare-Earth Rhodium Indium Layered Intermetallics

Chemistry of MaterialsDOI: 10.1021/acs.chemmater.5c03286 Source: http://dx.doi.org/10.1021/acs.chemmater.5c03286

How ‘Digital Twins’ Help Us Better Understand Earth

Researchers and practitioners came together in early February to explore how real-time, digital replicas of the planet could change the ways we anticipate risks...

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