High frequency monitoring for impact assessment of temperature, oxygen and radiation in floating photovoltaic system. [PDF]
Prandini MK +5 more
europepmc +1 more source
Assessing Photovoltaic Recycling Capacities and Policy Gaps in the European Union
This study maps photovoltaic recycling capacity in the EU and key global regions, highlighting gaps between growing waste volumes and available infrastructure. It combines survey insights and policy analysis to identify recycling bottlenecks and offers recommendations to boost circularity in the solar sector.
Nieves Espinosa +3 more
wiley +1 more source
Construction-induced soil compaction in agri-photovoltaic systems: evidence from an Arenosol. [PDF]
Grahmann K +4 more
europepmc +1 more source
ABSTRACT Since the final decade of the 20th century, Latin American countries have increasingly regarded the signing of regional trade agreements (RTAs) as a promising strategy for expanding their exports. Within this context, the main objective of this study is to assess the impact of RTAs on agri‐food exports in Latin America over the period 1990 ...
María‐Isabel Ayuda +2 more
wiley +1 more source
Prenatal stress selectively enhances locomotor hyperactivity in male mice with embryonic loss of <i>Fgfr2</i>. [PDF]
Chen MX, Jager P, Sawyer A, Stevens HE.
europepmc +1 more source
Abstract The rapid growth of AI data centers (AIDCs) is intensifying stress on power systems and exposing operators to volatile electricity markets. This work develops a process‐informed co‐optimization framework that integrates liquid air energy storage (LAES) with AIDC operation. Unlike black‐box storage models, the proposed formulation captures LAES
Zhicong Fang +3 more
wiley +1 more source
Pulmonary vein isolation durability in a randomized trial comparing fluoroscopy-only vs. electroanatomic mapping strategies for pulmonary vein isolation with balloon-in-basket pulsed-field ablation. [PDF]
Rodríguez Muñoz D +8 more
europepmc +1 more source
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Environmental enrichment modulates parvalbumin interneuron deficits and plasticity-related signaling after early postnatal NMDA receptor hypofunction in male rat visual cortex. [PDF]
Murueta-Goyena A +4 more
europepmc +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source

