Julio Chagas | Computational Chemistry | Best Scholar Award

Dr. Julio Chagas | Computational Chemistry | Best Scholar Award 

Postdoctoral Scholar | Northwestern University | United States

Dr. Julio Cesar Verli Chagas is an emerging scholar in theoretical and computational chemistry whose research advances the understanding of molecular electronic structure, excited-state dynamics, and frontier spectroscopic phenomena. His academic influence continues to grow, with 8 peer-reviewed journal publications, 7 completed or ongoing research projects, and a citation impact reflected by 26 citations, an h-index of 3, and additional Scopus metrics indicating 19 citations across 14 documents. His work centers on multireference quantum chemistry methods, enabling accurate modeling of electronically complex systems and contributing to improved predictive capabilities in chemical physics. Chagas has notably elucidated excited-state manifolds in conjugated and photoactive molecules, providing insights that support the development of advanced optical materials and next-generation photonic applications. His research portfolio integrates high-level theory with cutting-edge experimentation, particularly through investigations of molecular optical responses and entangled-photon spectroscopy—an emerging direction that strengthens the interface between quantum chemistry and quantum optics. International collaborations have been central to his scientific contributions, including work with Prof. Hans Lischka on excited-state computational methodologies and Prof. George Schatz on optical and nonlinear spectroscopic modeling, enhancing the interdisciplinary reach and global relevance of his research. He has presented at over 25 scientific conferences and actively contributes to collaborative scientific initiatives in the United States, Brazil, and Europe. Through rigorous modeling, innovative methodological development, and cross-disciplinary research, Chagas’ work provides foundational insights with potential societal impact in areas such as photonic materials, spectroscopy-driven chemical sensing, and quantum-enhanced measurement technologies. His growing scholarly footprint reflects a trajectory of continued excellence and expanding international recognition.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Milanez, B. D., Chagas, J. C. V., Pinheiro Jr, M., Aquino, A. J. A., & Lischka, H. (2020). Effects on the aromaticity and on the biradicaloid nature of acenes by the inclusion of a cyclobutadiene linkage. Theoretical Chemistry Accounts, 139(7), 113. Citations: 7

  2. Dos Santos, L. G. F., Chagas, J. C. V., Ferrão, L. F. A., Aquino, A. J. A., Nieman, R., & Lischka, H. (2025). Tuning aromaticity, stability and radicaloid character of periacenes by chemical BN doping. Journal of Computational Chemistry, 46(3), e70039. Citations: 5

  3. Chagas, J. C. V., Milanez, B. D., Oliveira, V. P., Pinheiro Jr, M., Ferrão, L. F. A., & Aquino, A. J. A. (2024). A multi-descriptor analysis of substituent effects on the structure and aromaticity of benzene derivatives: π-conjugation versus charge effects. Journal of Computational Chemistry, 45(12), 863–877. Citations: 4

  4. Plasser, F., Lischka, H., Shepard, R., Szalay, P. G., Pitzer, R. M., Alves, R. L. R., Chagas, J. C. V., … (2025). COLUMBUS─An efficient and general program package for ground and excited state computations including spin–orbit couplings and dynamics. The Journal of Physical Chemistry A, 129(28), 6482–6517. Citations: 2

  5. Pimentel, J. V. M., Chagas, J. C. V., Pinheiro Jr, M., Aquino, A. J. A., & Lischka, H. (2025). Thermally activated delayed fluorescence in B, N-substituted tetracene derivatives: A theoretical pathway to enhanced OLED materials. The Journal of Physical Chemistry A, 129(2), 470–480. Citations: 2

zihan gao | Chemical Engineering | Best Researcher Award

Dr. zihan gao | Chemical Engineering | Best Researcher Award

Phd | China University of Petroleum (East China) | China

Dr. Zihan Gao is an emerging researcher in the field of Safety Engineering at the China University of Petroleum (East China), Qingdao, China. His academic foundation lies in industrial risk management, process safety, and occupational health, with a specialized focus on Process Safety Management (PSM) systems for accident prevention and operational reliability. Holding a Ph.D. in Safety Engineering, Dr. Gao has conducted significant research aimed at developing quantifiable Key Performance Indicators (KPIs) that bridge the gap between theoretical safety models and real-world industrial applications. His professional experience includes contributing to the Shandong Province Process Safety Management Assessment Project, and publishing influential works in reputable international journals such as the Journal of Intelligent & Fuzzy Systems and Process Safety Progress. Dr. Gao’s research interests span chemical process safety, hazard analysis, safety data analytics, and risk assessment modeling, with a commitment to integrating AI-based systems into industrial safety frameworks. His research skills encompass quantitative risk modeling, system reliability assessment, simulation analysis, and data-driven safety benchmarking, all directed toward enhancing performance metrics in high-risk industries. Recognized for his scholarly rigor and practical innovation, he has contributed to national efforts to improve China’s chemical safety framework through the 2024 PSM development initiative, which integrated education, standardization, and localized implementation of international safety practices. Dr. Gao’s growing citation record and Scopus-indexed publications reflect his dedication to advancing the frontiers of safety engineering. His goal is to strengthen global collaborations, increase Q1 journal publications, and contribute to international safety management discourse through keynote engagements and editorial participation. In recognition of his achievements and continued promise, Dr. Gao represents a new generation of researchers committed to elevating industrial safety standards and fostering sustainable, risk-free operations. Zihan Gao, China University of Petroleum (East China), Qingdao, China. Scopus ID: 57224466238. 2 Citations. 3 Documents. h-index: 1.

Featured Publications

1. Gao, Z., & Zhao, D. (2025, September 26). A hybrid DEMATEL–ISM–CN–BN framework for explosive risk analysis in hydrogenation processes. Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology. https://doi.org/10.1177/18758967251374191

2. Gao, Z., Meng, Y., Chen, Q., Hu, Y., & Zhao, D. (2025, September 3). Key advances in chemical process safety management in China: A 2024 perspective. Process Safety Progress, 44(5), Article e70020. https://doi.org/10.1002/prs.70020