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Research Interests
The development of improved catalysts and materials has never been more needed than today. The world is facing a growing population, mass consumerism, and rising greenhouse gas levels, all the while people strive to increase their standard of living. Computational modeling of catalysts and materials aids the process to design new systems because it provides a valuable way to test hypotheses and understand design criteria. The Goldsmith lab focuses on understanding catalytic systems and advanced materials for use in sustainable chemical production, pollution abatement, and energy storage & generation. They use atomistic modeling (e.g., density-functional theory), molecular simulation, and data science tools to extract key insights of catalysts and materials, with the goal to help create a platform for their design. Current lab research thrusts include: (i) Thermo, electro, and plasma catalysis for air and water pollution reduction and sustainable chemical conversion; (ii) Machine learning to accelerate catalyst and materials design; and (iii) Transition metal ion redox chemistry for renewable energy storage.
The development of improved catalysts and materials has never been more needed than today. The world is facing a growing population, mass consumerism, and rising greenhouse gas levels, all the while people strive to increase their standard of living. Computational modeling of catalysts and materials aids the process to design new systems because it provides a valuable way to test hypotheses and understand design criteria. The Goldsmith lab focuses on understanding catalytic systems and advanced materials for use in sustainable chemical production, pollution abatement, and energy storage & generation. They use atomistic modeling (e.g., density-functional theory), molecular simulation, and data science tools to extract key insights of catalysts and materials, with the goal to help create a platform for their design. Current lab research thrusts include: (i) Thermo, electro, and plasma catalysis for air and water pollution reduction and sustainable chemical conversion; (ii) Machine learning to accelerate catalyst and materials design; and (iii) Transition metal ion redox chemistry for renewable energy storage.
研究兴趣
论文共 82 篇作者统计合作学者相似作者
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JOURNAL OF THE AMERICAN CHEMICAL SOCIETYno. 8 (2024): 5511-5522
JOURNAL OF CATALYSIS (2024): 115331
Abdulrahman Adamu Isah, Oluwatosin Ohiro,Li Li, Yahaya Nasiru,Kai C. Szeto,Pierre-Yves Dugas,Anass Benayad,Aimery De Mallmann,Susannah L. Scott,Bryan R. Goldsmith,Mostafa Taoufik
Meeting abstractsno. 39 (2023): 2297-2297
Plasma Sources Science and Technologyno. 3 (2023): 034004-034004
CoRRno. 2 (2023): 025019-025019
Meeting abstractsno. 3 (2023): 760-760
Current Opinion in Electrochemistry (2023): 101347-101347
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