The prime goal of ICAMD 2025 is to provide a platform for reviewing the latest and most important developments in applied physics, exchanging current research achievements and future directions, promoting physics-based innovations, fostering international collaborations across diverse research communities.

This Collection aims to present the latest progress in the integration of two-dimensional materials for neuromorphic computing.

With this cross-journal collection, we aim to highlight recent progress in understanding earthquake processes, as well as current challenges and future pathways towards more reliable forecasting and effective early warning systems that can support risk mitigation.

By bringing together advances in energy-based computation at the intersection of physics, materials science, and computation, this collection aims at connecting theory, experiments, and applications where energy landscapes are used for computation.

This special issue aims to showcase cutting-edge developments in collaborative and autonomous robotics, with a focus on novel designs, methodologies, and applications that enhance human-robot interaction, autonomy, and adaptability.

This special issue aims to systematically present recent advances in intelligent geological disaster assessment and to outline promising directions for future research.

This Special Issue aims to bring together cutting-edge research at the intersection of marine ecosystems, environmental change, and human health, advancing integrated One Health insights to support sustainable and healthy ocean development.

This Collection welcomes original research on large‑scale fermentation, process intensification, downstream optimisation, yield and stability improvements, and metrics that support reliable, commercially viable bioproduction.

As we navigate the complexities of the digital age, computational imaging has emerged as a pivotal discipline, integrating advanced algorithms and artificial intelligence to enhance image processing techniques. With the rapid proliferation of high-resolution imaging technologies, there is an increasing demand for efficient coding and representation techniques that can optimize storage, transmission, and analysis of visual data. This Collection aims to explore the intersection of computational.

In recognition of the role of this research in UN Sustainable Development Goals 3 and 11, this Collection invites original research into driver and traffic safety and is open to studies examining this topic from driver, vehicle, and roadway focuses.

This Collection brings together studies that advance our understanding of cellular mechanotransduction mechanisms, from force sensing at the membrane to the clinical applications of diseases.

This collection aims to identify new approach methodologies (NAMs) that can support the pharmacological assessment of emerging contaminants.

This Collection invites submissions on trial design innovations, recruitment strategies, and field experiences to expand the reach of dementia clinical trials.

This Collection invites contributions that explore the symbiotic relationship between AI, HPC, and quantum computing/networking—ranging from machine learning for noise mitigation to full-stack architectures for the quantum internet.

This Collection spotlights AI/ML-driven formulation design under QbD principles, alongside 3D printing and electrospun nanofibers for customizable dosage forms. It covers stimuli-responsive platforms (ultrasound-triggered delivery, MOFs) and advanced nanocarriers (micelles, liposomes, polymeric, lipid, hybrid) for targeted release. Special focus includes next-gen therapeutics - siRNA, antisense oligonucleotides, CRISPR/Cas, and PROTACs-plus intranasal brain delivery for non-invasive approaches.

This Collection seeks to highlight research on the genomics of plant pathogens and plant responses to these pathogens. The focus will be on fungi, bacteria, and viruses but other pathogens may be considered. We welcome submissions that explore genetic factors influencing pathogenicity, host interactions and response, as well as strategies for disease management, aiming to enhance our understanding of plant health and improve agricultural resilience.

This Collection explores how AI and sensor technologies can be applied in precision livestock farming to transform behavioural, health, and production data into practical, farm-level decision support. It brings together interdisciplinary research on digital monitoring, behavioural and physiological analytics, predictive modelling, and integrated data frameworks aimed at improving animal welfare, productivity, and environmental sustainability.

This Collection focuses on the synergistic optimization of urban forms and energy flows, leveraging cutting-edge tools to enhance the quality of life in complex urban environments. Contributions addressing policy, modeling, experiments, and real-world applications are encouraged.

This collection addresses the critical need of cities to be solutions for the climate and pollution challenges that urban residents currently face. Suggested topics include various dimensions of Urban Green Infrastructure, water management and flood control, responses to extreme heat, healthy and sustainable community development on brownfields, and approached to reducing the harmful impacts of environmental exposures.

This Collection covers polymer-material strategies that enable both environmental biodegradability/compostability and robust circularity via advanced recycling and upcycling, spanning synthesis, catalysis, processing, and validation. It welcomes fundamental and translational studies that link structure–processing–performance to end-of-life pathways, standards, and LCA/TEA.