The authors demonstrate that Explainable Artificial Intelligence (XAI) enhances transparency in water systems through interpretable decision-making models. XAI supports policymakers by providing climate impact insights for urban drainage systems. A number of key water management challenges can be addressed with XAI.

Community-company collaborations advance renewable energy access through developing and sharing open source technologies for sustainable development.

An analysis of the cost, benefits and potential disadvantages of strenuous requirements for "green" hydrogen production in the EU and US.

DeepPack3D: a new open-source Python package that harnesses the power of deep reinforcement learning and innovative heuristics to tackle the complexities of 3D bin packing. With features like customizable lookahead values and real-time visualization, it's designed to empower researchers and developers to push the boundaries of what's possible in supply chain management.

The authors focus on evaluating green manufacturing strategies in the wire and cable industry using a modified Z-DEMATEL approach. It discusses the key criteria, their interrelationships, and the implications for decision-makers in promoting sustainable practices within the industry.

This study explores nanostructured MOF-composite membranes as a promising technology for enhanced CO2 capture, highlighting improved gas separation performance, stability, and scalability while addressing challenges like regeneration and sustainability through advanced synthesis and modeling approaches.