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  • Exploring the Application of Machine Learning in Carbon Capture, Utilization, and Storage Technologies

    Bo Zhang, Chuan Zhang

    Carbon capture, utilization, and storage (CCUS) technologies are key solutions to mitigating climate change. In recent years, with the advancement of technology, the application of machine learning (ML) in optimizing various stages of CCUS technologies has garnered increasing attention. This paper summarizes the current status of ML applications in CO₂ capture, CO₂ enhanced oil recovery, CO₂ storage, underground sequestration, as well as in the evaluation of the CCUS technologies chain and source-sink matching. It explores the use of ML theory to optimize processes such as data collection, model prediction and recognition, model parameter adjustment, and result comparison in relation to CCUS technologies. Additionally, a full-chain model for CCUS technologies is constructed, and the future directions of ML in CCUS are envisioned. The research provides insights to fully harness the potential of machine learning in the CCUS field.

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  • Sustainability in Pharmaceutical Formulation and Processing: Case Studies on Eco-Friendly Micronisation and Nanonisation Approaches This Article Belongs To The Special Issue: Sustainable Process Engineering: Collaborations between Industry and Academia

    Hien V. Nguyen, Thuy Thi-Nhu Huynh, Linh Nguyen-Ngoc Pham, Tung Minh Ta

    The pharmaceutical industry faces growing pressure to adopt sustainable practices throughout the entire product lifecycle, encompassing the design and synthesis of active pharmaceutical ingredients (APIs), manufacturing, distribution, usage, and disposal of pharmaceutical products. Addressing these challenges demands innovative strategies that balance environmental responsibility with economic and operational feasibility. This paper examines key approaches to achieving sustainability in pharmaceutical formulation and processing, including the use of biodegradable materials, minimizing organic solvent consumption, and implementing energy-efficient continuous manufacturing technologies. Through detailed case studies from our research group, we demonstrate the successful application of these principles to develop eco-friendly formulations and optimize manufacturing processes for pharmaceutical micronisation and nanonisation. This work aims to guide further advancements in sustainable pharmaceutical development.

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  • Exploring the Role of the Internet of Things (IoT) on Economic Growth in Nigeria: Challenges and Opportunities

    Fadele Ayotunde Alaba, Muhammad Amina, Umar Ibrahim, Hakeem Sulaimon Adewale, Zainab Adamu Aliyu

    This study explores the role of IoT in driving economic growth in Nigeria, identifying both challenges and opportunities within the IoT network. Using a framework grounded in human capital and endogenous growth theories, the research examines how IoT indicators—such as literacy rates, enrolment ratios, and government spending on IoT—affect economic outcomes. Findings indicate that while IoT can significantly contribute to Nigeria’s GDP growth and labour productivity, various constraints, such as inadequate funding, regional disparities, and infrastructural deficiencies, hinder its full potential. The study underscores the importance of targeted investment in STEM IoT, digital literacy, and vocational training to enhance workforce skills and support economic diversification. The results emphasize the need for structural reforms and stronger institutional support to maximize the economic benefits of the IoT.

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