Juan Wen | Water Treatment | Research Excellence Award

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Dr. Juan Wen | Water Treatment | Research Excellence Award

Lanzhou University | China

Dr. Juan Wen is an Associate Professor in the School of Materials and Energy at Lanzhou University and a specialist in advanced ceramic materials and nanotechnology. His academic training includes a Ph.D. in Nuclear Science and Technology from Lanzhou University, complemented by undergraduate studies in Physical Science and Technology at the same institution. During his doctoral period, he gained international research exposure as a visiting student at the Ion Beam Materials Laboratory, Los Alamos National Laboratory, USA, where he strengthened his expertise in ion irradiation and accelerator-based materials research. His professional experience spans progressive academic roles, including Teaching Assistant, Assistant Professor, and Associate Professor, reflecting sustained contributions to teaching and research. Dr. Wen’s research interests focus on nanogenerators, ion irradiation effects on ceramic materials, structural and performance evolution of nanostructured ceramics under extreme conditions such as high temperature and irradiation, and the synthesis and microstructural characterization of polycrystalline oxide ceramics. He also possesses strong practical experience in the operation and maintenance of implanter and accelerator systems, bridging fundamental research with advanced experimental techniques. His work has earned recognition within the materials and nuclear science communities through scholarly publications and collaborative projects. Overall, Dr. Juan Wen’s career demonstrates a consistent commitment to advancing ceramic materials research for extreme environments and energy-related applications, contributing significantly to both academic knowledge and technological development.

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Featured Publications

Opeyemi Akanbi | Electroanalytical Methods | Research Excellence Award

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Mr. Opeyemi Akanbi | Electroanalytical Methods | Research Excellence Award

 University of Massachusetts Lowell | United States

Mr. Opeyemi Akanbi is a dedicated PhD Candidate in Physics and Applied Physics at the University of Massachusetts Lowell, where he focuses on advanced research at the intersection of materials science, transport phenomena, and functional textile engineering. With academic training that spans physics, materials science, and applied engineering, he has gained diverse experience working on optical strain sensors, humidity-control textiles, electrokinetic systems, and functional polymers. His current research centers on the design and optimization of low-power electroosmotic pumps and textile-integrated microfluidic platforms aimed at improving moisture and sweat management in wearable technologies. Combining experimental device fabrication with multiphysics modeling of ion transport, fluid flow, and heat transfer, he advances innovative solutions for smart garments, personal comfort enhancement, and healthcare monitoring applications. His work reflects strong interests in electroosmotic flow, soft-material transport behavior, photonics, and the integration of microfluidic architectures into flexible substrates. As an active member of leading scientific communities such as ACS, MRS, and IEEE, he consistently engages in interdisciplinary research and academic collaboration. He has contributed to impactful research outputs and received recognition for innovation in functional textile development. He aims to continue developing science-driven technologies that bridge physics, materials engineering, and wearable device innovation.

Profiles: Orcid | Google Scholar

Featured Publications

Hutchins, A., Acharya, S., Akanbi, O., Doan, K., Pinninti, P., Isherwood, K., Rosenberg, Z., Filocamo, S., Zhang, Y., & Guo, W. (2025). “Low Power Textile Integrated Electroosmosis Pump for Active Moisture and Sweat Management.” iScience.

Akanbi, O.S., Shannon, J.P., Delhommelle, J., & Desgranges, C. (2025). “Synergizing Driven Quantum Dynamics, AI, and Quantum Computing for Next-Gen Materials Science.” The Journal of Physical Chemistry Letters.

Hutchins, A., Reens, D., Kharas, D., West, G.N., Sorace-Agaskar, C., Chiaverini, J., McConnell, R., Swint, R., Akanbi, O., Harding, S., et al. (2024). “Fiber-to-Chip Packaging With Robust Fiber Fusion Splicing for Low-Temperature Applications.” IEEE Photonics Technology Letters.

Balogun, S.W., Oyeshola, H.O., Ajani, A.S., James, O.O., Awodele, M.K., Adewumi, H.K., Àlàgbé, G.A., Olabisi, O., Akanbi, O.S., Ojeniyi, F.A., et al. (2024). “Synthesis, characterization, and optoelectronic properties of zinc oxide nanoparticles: A precursor as electron transport layer.” Heliyon.

Akanbi, O.S., Usman, H.A., Abass, G.F., Oni, K.E., Ige, A.S., Odunaro, B.P., Ojo, I.J., Oladejo, J.A., Ajani, H.O., Musa, A., et al. (2023). “The Advent of Wide Bandgap Green-Synthesized Copper Zinc Tin Sulfide Nanoparticles for Applications in Optical and Electronic Devices.” Journal of Materials Science and Chemical Engineering.

Rimamnya, N.D., Akanbi, O.S., Bunmi, D.C., Abass, G.F., Olaniyan, J.A., Ige, A.S., Moyofoluwa, O.O., Kolawole, B.T., et al. (2023). “Evolution of Carbon Nanotubes, Their Methods, and Application as Reinforcements in Polymer Nanocomposites: A Review.” Journal of Advanced Mechanical Engineering Applications.

Akanbi, O., Abass, G., Ige, A., Nyatse, D., Oyeshola, H., Abba, H., Felix, O., Oni, K., Ayotunde, A., Ajao, J., et al. (2023). “Research Advances on 2D Mxenes for Photovoltaic Applications.” Journal of Advanced Mechanical Engineering Applications.

Jinyuan Mao | Molecular Dynamics Simulations | Research Excellence Award

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Dr. Jinyuan Mao | Molecular Dynamics Simulations | Research Excellence Award

BYD Auto Industry Company Ltd | China

Dr. Jinyuan Mao is a Senior Simulation Engineer whose work bridges computational materials science and advanced machine-learning methodologies to accelerate innovation in modern engineering materials. He earned his PhD in Soft Matter Science in 2024 from the South China University of Technology, where he received rigorous training in molecular modeling and multiscale simulation under expert mentorship. After completing his doctoral studies, he joined BYD Auto Industry Company Ltd. in collaboration with Fudan University, contributing to cutting-edge research that integrates atomic-scale simulations with data-driven modeling strategies. His professional experience spans the study of mechanical behavior in metals, composites, and soft matter, with an emphasis on understanding deformation mechanisms, reliability, and performance enhancement. Dr. Mao’s research interests include machine-learning-accelerated materials discovery, molecular dynamics simulations, mesoscale modeling, and the development of predictive frameworks for complex material systems. He has contributed to high-impact publications in computational materials science and has been recognized for scientific excellence through academic awards and research achievements during his doctoral years. Committed to advancing simulation-driven design, he continues to explore innovative computational approaches that bridge theory and application, supporting the development of next-generation materials for industrial and technological advancement.

Profiles: Orcid | Google Scholar

Featured Publications

Liu, J., Mao, J., Wang, B., Wang, Q., Zhang, N., & Pan, S. (2025). Study on the mechanical properties and critical temperature of FeNiCrMn alloy using MD-ML-MA framework. Journal of Molecular Modeling.

Mao, J., Zhou, J., & Liu, H. (2024). One-pot strategy for the preparation of nanoparticles grafted with bimodal polymers: An in-silico insight. Composites Science and Technology.

Mao, J., Jia, X.-M., Zhang, G., & Zhou, J. (2024). Excluded volume of slide rings in single-chain polyrotaxane. Macromolecules.

Li, C.-X., Mao, J.-Y., Li, S.-J., Wang, Y., & Liu, H. (2023). A long chain-induced depletion effect for abnormal grafting in the preparation of bimodal bidisperse polymer-grafted nanoparticles. Physical Chemistry Chemical Physics.

Mao, J., Hu, Z., Hu, J., Zhu, X., & Xiong, H. (2019). A Density Functional Theory (DFT) study of the acyl migration occurring during lipase-catalyzed transesterifications. International Journal of Molecular Sciences.