SS
Sukriti Singh
Research areas: Materials Science · Materials Chemistry · Polyoxometalates: Synthesis and Applications · Chemical Synthesis and Reactions · Computational Drug Discovery Methods
0000-0003-2286-2974
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Publications (17)
- Machine learning for burning rate prediction of solid propellants Save
- A meta-learning approach for selectivity prediction in asymmetric catalysis Save
- Data-Driven Insights into the Transition-Metal-Catalyzed Asymmetric Hydrogenation of Olefins Save
- Deep Kernel learning for reaction outcome prediction and optimization Save
- Molecular Machine Learning for Chemical Catalysis: Prospects and Challenges Save
- Tanimoto Random Features for Scalable Molecular Machine Learning Save
- Tanimoto Random Features for Scalable Molecular Machine Learning Save
- A transfer learning approach for reaction discovery in small data situations using generative model Save
- A transfer learning protocol for chemical catalysis using a recurrent neural network adapted from natural language processing Save
- Ir-Catalyzed Ligand-Free Directed C-H Borylation of Arenes and Pharmaceuticals: Detailed Mechanistic Understanding Save
- Pd-Catalyzed γ-C(sp3)–H Fluorination of Free Amines Save
- A unified machine-learning protocol for asymmetric catalysis as a proof of concept demonstration using asymmetric hydrogenation Save
- Is silver a mere terminal oxidant in palladium catalyzed C–H bond activation reactions? Save
- Mechanism and Origin of Enantioselectivity in Nickel-Catalyzed Alkyl–Alkyl Suzuki Coupling Reaction Save
- Computational asymmetric catalysis: On the origin of stereoselectivity in catalytic reactions Save
- Experimental and Computational Studies on Remote γ-C(sp3)–H Silylation and Germanylation of Aliphatic Carboxamides Save
- Aliphatic C(sp3)–H Bond Activation Using Nickel Catalysis: Mechanistic Insights on Regioselective Arylation Save