Dongxin Ma

Papers

Total Citations

145

H-Index

About

Dongxin Ma is a leading researcher at the intersection of materials science and artificial intelligence, with a primary focus on accelerating the discovery and optimization of perovskite materials for next-generation optoelectronics. His most influential work, "Machine-Learning-Accelerated Perovskite Crystallization" (2020), has garnered over 145 citations, establishing a paradigm for using computational models to predict and control thin-film crystallization processes. By integrating machine learning with experimental synthesis, Ma has significantly reduced the time and cost traditionally required to identify optimal processing conditions for high-performance perovskite solar cells and light-emitting diodes. His contributions bridge the gap between data-driven design and practical device fabrication, enabling rapid screening of precursor compositions and annealing parameters. Beyond this landmark study, Ma’s research continues to push the boundaries of automated materials discovery, demonstrating how AI can unlock complex structure-property relationships in hybrid semiconductors. His work is widely recognized for its methodological innovation and practical impact, offering a blueprint for researchers seeking to harness machine learning in the development of sustainable energy technologies.