Sergei Manzhos
Tokyo Institute of Technology(JP)
Publications by Year
Research Areas
Machine Learning in Materials Science, Advancements in Battery Materials, Organic Electronics and Photovoltaics, Conducting polymers and applications, Advanced Chemical Physics Studies
Most-Cited Works
- → Neural Network Potential Energy Surfaces for Small Molecules and Reactions(2020)347 cited
- → A random-sampling high dimensional model representation neural network for building potential energy surfaces(2006)255 cited
- → Neural networks vs Gaussian process regression for representing potential energy surfaces: A comparative study of fit quality and vibrational spectrum accuracy(2018)239 cited
- → Organic interfacial materials for perovskite-based optoelectronic devices(2019)223 cited
- → Neural network‐based approaches for building high dimensional and quantum dynamics‐friendly potential energy surfaces(2014)219 cited
- → A Nested Molecule-Independent Neural Network Approach for High-Quality Potential Fits(2005)195 cited
- → Using neural networks to represent potential surfaces as sums of products(2006)187 cited
- → Molecular Engineering Using an Anthanthrone Dye for Low‐Cost Hole Transport Materials: A Strategy for Dopant‐Free, High‐Efficiency, and Stable Perovskite Solar Cells(2018)184 cited
- → Roadmap on Machine learning in electronic structure(2022)176 cited
- → Phenothiazine and carbazole substituted pyrene based electroluminescent organic semiconductors for OLED devices(2015)126 cited