Professors in Machine Learning in Materials Science

Computational Drug Discovery Methods, Chemical Synthesis and Analysis, Machine Learning in Materials Science, Microbial Natural Products and Biosynthesis, Protein Structure and Dynamics

Advanced Chemical Physics Studies, Spectroscopy and Quantum Chemical Studies, X-ray Diffraction in Crystallography, Crystallization and Solubility Studies, Machine Learning in Materials Science

Advanced Chemical Physics Studies, Machine Learning in Materials Science, Boron and Carbon Nanomaterials Research, High-pressure geophysics and materials, Force Microscopy Techniques and Applications

Chemical Synthesis and Analysis, Computational Drug Discovery Methods, Antimicrobial Peptides and Activities, Dendrimers and Hyperbranched Polymers, Machine Learning in Materials Science

Machine Learning in Materials Science, Advanced Chemical Physics Studies, Synthesis and Properties of Aromatic Compounds, Crystallization and Solubility Studies, X-ray Diffraction in Crystallography

Machine Learning in Materials Science, Computational Drug Discovery Methods, Spectroscopy and Quantum Chemical Studies, X-ray Diffraction in Crystallography, Quantum, superfluid, helium dynamics

Machine Learning in Materials Science, Advancements in Battery Materials, Advanced Battery Materials and Technologies, X-ray Diffraction in Crystallography, Advanced Battery Technologies Research

Machine Learning in Materials Science, Electrocatalysts for Energy Conversion, Electronic and Structural Properties of Oxides, X-ray Diffraction in Crystallography, Fuel Cells and Related Materials

Machine Learning in Materials Science, Computational Drug Discovery Methods, Gene expression and cancer classification, Bioinformatics and Genomic Networks, Data Mining Algorithms and Applications

Catalytic Processes in Materials Science, Catalysis and Oxidation Reactions, Catalysts for Methane Reforming, Electrocatalysts for Energy Conversion, Machine Learning in Materials Science

Machine Learning in Materials Science, Computational Drug Discovery Methods, Advanced Text Analysis Techniques, Topic Modeling, Machine Learning in Bioinformatics

Advanced Chemical Physics Studies, Spectroscopy and Quantum Chemical Studies, Protein Structure and Dynamics, Hemoglobin structure and function, Machine Learning in Materials Science

Spectroscopy and Quantum Chemical Studies, Advanced Chemical Physics Studies, RNA and protein synthesis mechanisms, Machine Learning in Materials Science, Quantum, superfluid, helium dynamics

Protein Structure and Dynamics, Computational Drug Discovery Methods, Machine Learning in Materials Science, Spectroscopy and Quantum Chemical Studies, Chemical Synthesis and Analysis

Machine Learning in Materials Science, Scientific Computing and Data Management, Electronic and Structural Properties of Oxides, Catalysis and Oxidation Reactions, Research Data Management Practices

Computational Drug Discovery Methods, Machine Learning in Materials Science, Inorganic Chemistry and Materials, Rare-earth and actinide compounds, Analytical Chemistry and Chromatography

Protein Structure and Dynamics, Computational Drug Discovery Methods, Machine Learning in Materials Science, Enzyme Structure and Function, Mass Spectrometry Techniques and Applications

Advancements in Battery Materials, Advanced Battery Materials and Technologies, Electrocatalysts for Energy Conversion, Fuel Cells and Related Materials, Machine Learning in Materials Science

Supramolecular Self-Assembly in Materials, Dendrimers and Hyperbranched Polymers, Supramolecular Chemistry and Complexes, RNA Interference and Gene Delivery, Machine Learning in Materials Science

Computational Drug Discovery Methods, Machine Learning in Materials Science, Protein Structure and Dynamics, Influenza Virus Research Studies, RNA and protein synthesis mechanisms

Crystallization and Solubility Studies, X-ray Diffraction in Crystallography, Asymmetric Hydrogenation and Catalysis, Machine Learning in Materials Science, Organometallic Complex Synthesis and Catalysis

Crystallization and Solubility Studies, X-ray Diffraction in Crystallography, Catalytic C–H Functionalization Methods, Machine Learning in Materials Science, Asymmetric Hydrogenation and Catalysis

Machine Learning in Materials Science, X-ray Diffraction in Crystallography, Metal-Organic Frameworks: Synthesis and Applications, Crystallization and Solubility Studies, Computational Drug Discovery Methods