Professors in Machine Learning in Materials Science

Advanced Chemical Physics Studies, Spectroscopy and Quantum Chemical Studies, Machine Learning in Materials Science, nanoparticles nucleation surface interactions, Quantum and electron transport phenomena

X-ray Diffraction in Crystallography, Nuclear Physics and Applications, X-ray Spectroscopy and Fluorescence Analysis, High-pressure geophysics and materials, Machine Learning in Materials Science

Computational Drug Discovery Methods, Analytical Chemistry and Chromatography, Free Radicals and Antioxidants, Machine Learning in Materials Science, Chemical Thermodynamics and Molecular Structure

Computational Drug Discovery Methods, Analytical Chemistry and Chromatography, Machine Learning in Materials Science, Free Radicals and Antioxidants, Chemical Thermodynamics and Molecular Structure

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, Chemical Synthesis and Analysis, Microbial Natural Products and Biosynthesis, Metabolomics and Mass Spectrometry Studies

Advanced Chemical Physics Studies, Spectroscopy and Quantum Chemical Studies, Molecular Junctions and Nanostructures, Machine Learning in Materials Science, Photochemistry and Electron Transfer Studies

Computational Drug Discovery Methods, Machine Learning in Materials Science, Chemical Synthesis and Analysis, Analytical Chemistry and Chromatography, Protein Structure and Dynamics

Topological Materials and Phenomena, Graphene research and applications, Quantum and electron transport phenomena, Machine Learning in Materials Science, Quantum many-body systems

Computational Drug Discovery Methods, Robot Manipulation and Learning, Analytical Chemistry and Chromatography, Muscle activation and electromyography studies, Machine Learning in Materials Science

Molecular Junctions and Nanostructures, Graphene research and applications, Advanced Chemical Physics Studies, Quantum and electron transport phenomena, Machine Learning in Materials Science

Advanced Chemical Physics Studies, Spectroscopy and Quantum Chemical Studies, Protein Structure and Dynamics, Supramolecular Chemistry and Complexes, Machine Learning in Materials Science

X-ray Diffraction in Crystallography, Crystallography and molecular interactions, Crystallization and Solubility Studies, Computational Drug Discovery Methods, Machine Learning in Materials Science

Computational Drug Discovery Methods, SARS-CoV-2 and COVID-19 Research, Protein Structure and Dynamics, COVID-19 Clinical Research Studies, Machine Learning in Materials Science

Asthma and respiratory diseases, Protein Structure and Dynamics, Computational Drug Discovery Methods, Chronic Obstructive Pulmonary Disease (COPD) Research, Machine Learning in Materials Science

Computational Drug Discovery Methods, Protein Structure and Dynamics, Machine Learning in Materials Science, Free Radicals and Antioxidants, Synthesis and Biological Evaluation

Cardiovascular Function and Risk Factors, Cardiac Imaging and Diagnostics, Amyloidosis: Diagnosis, Treatment, Outcomes, Machine Learning in Materials Science, Cardiac Valve Diseases and Treatments

Advanced Chemical Physics Studies, Spectroscopy and Quantum Chemical Studies, Machine Learning in Materials Science, Spectroscopy and Laser Applications, Quantum, superfluid, helium dynamics

Supramolecular Self-Assembly in Materials, Supramolecular Chemistry and Complexes, Surface Chemistry and Catalysis, Machine Learning in Materials Science, Protein Structure and Dynamics

Cold Atom Physics and Bose-Einstein Condensates, Quantum, superfluid, helium dynamics, Physics of Superconductivity and Magnetism, Quantum many-body systems, Machine Learning in Materials Science

Quantum, superfluid, helium dynamics, High-pressure geophysics and materials, Cold Atom Physics and Bose-Einstein Condensates, 2D Materials and Applications, Machine Learning in Materials Science

Machine Learning in Materials Science, Protein Structure and Dynamics, Ammonia Synthesis and Nitrogen Reduction, Catalytic Processes in Materials Science, Spectroscopy and Quantum Chemical Studies

Force Microscopy Techniques and Applications, Protein Structure and Dynamics, Diamond and Carbon-based Materials Research, Machine Learning in Materials Science, Graphene research and applications