MatAR: dynamic augmented reality platform for accessible molecular visualization

Literature Information

Publication Date 2023-10-25
DOI 10.1039/D3CP02435K
Impact Factor 3.676
Authors

Khatereh Mohammadi, El Tayeb Bentria, Satayanaraya Bonakala, Johanne Medina, Lamis Ayeche, Joelle Fadlallah, Fedwa El Mellouhi


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Abstract

Color blindness affects 5% of the world's population, and it can challenge the accessibility and inclusivity of science, technology, engineering and mathematics (STEM) education. Inspired by the fourth United Nations’ (UN) sustainable development goal of quality education, we aim to provide sustainable and accessible resources for lifelong learning for all. In this work, we present MatAR, an educational augmented reality (AR) mobile app that enables colorblind learners to visualize 3D molecular structures by color pallet optimization. Leveraging Vuforia's cloud database, MatAR offers a sustainable solution for storing and accessing target images. Accessibility to AR applications for physics, chemistry, and materials science learning is currently limited. We believe that MatAR provides immersive visualization solutions for education and academic/industry research and has the potential to enhance the accessibility of STEM education for learners with color vision deficiencies and promote inclusive and equitable quality education, aligning with the united nations sustainable development goals.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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