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Machine Learning in Materials Science

Machine Learning in Materials Science

148 faculty research Machine Learning in Materials Science on GradNova.

M
Bone Tissue Engineering Materials
Calcium Carbonate Crystallization and Inhibition
Force Microscopy Techniques and Applications
Machine Learning in Materials Science
+1
H
Co2 Reduction Techniques and Catalysts
Electrocatalysts for Energy Conversion
Machine Learning in Materials Science
K
Klavs F. Jensen

Warren K. Lewis Professor in Chemical Engineering, Post-Tenure

Department of Chemical Engineering

Massachusetts Institute of Technology

Catalytic Processes in Materials Science
Computational Drug Discovery Methods
Innovative Microfluidic and Catalytic Techniques Innovation
Machine Learning in Materials Science
+1
S
Catalysis and Hydrodesulfurization Studies
Catalysis and Oxidation Reactions
Catalytic Processes in Materials Science
Electrocatalysts for Energy Conversion
+1
B
Advancements in Solid Oxide Fuel Cells
Machine Learning in Materials Science
Magnetic and Transport Properties of Perovskites and Related Materials
J
Damage and Fracture Mechanisms of Materials in Mechanical Design
Impact Dynamics and Wave Propagation.
Material Degradation in Extreme Environments
Multiscale Materials Modeling
+6
P
Broad Scope of Materials From Semiconductors to Image Processing to Biomimetic Situations.
Development of New Machine Learning Approaches to Advance Materials Discovery and Materials Processing, Including Bayesian Optimization and Active Learning
Specialization on Especially Complex Situations, Such as Solution Processing
Nanoparticles Nucleation Surface Interactions
+4
L
Luke Roling

Associate Professor, Jack R. and Carol A. Johnson Faculty Fellow in Chemical and Biological Engineering

Department of Chemical and Biological Engineering

Iowa State University

Catalysis for Biomass Conversion
Catalytic Processes in Materials Science
Electrocatalysts for Energy Conversion
Machine Learning in Materials Science
+1
J
Advanced Battery Materials and Technologies
Advancements in Battery Materials
Electronic and Structural Properties of Oxides
Ionic Liquids Properties and Applications
+1
A
Ammonia Synthesis and Nitrogen Reduction
Catalytic Processes in Materials Science
Corrosion Behavior and Inhibition
Hydrogen Embrittlement and Corrosion Behaviors in Metals
+1
B
Carbon Dioxide Capture Technologies
Catalysis and Oxidation Reactions
Catalysts for Methane Reforming
Catalytic Processes in Materials Science
+1
M
Martha Grover

Professor; Thomas A. Fanning Chair in Equity Centered Engineering

School of Chemical and Biomolecular Engineering

Georgia Institute of Technology

Crystallization and Solubility Studies
Machine Learning in Materials Science
Organic Electronics and Photovoltaics
Origins and Evolution of Life
+1
D
Catalysis and Oxidation Reactions
Catalysts for Methane Reforming
Machine Learning in Materials Science
B
Blair Brettmann

Associate Professor, Solvay Faculty Fellow, and Raymond and Stephanie Myers Faculty Fellow

School of Chemical and Biomolecular Engineering

Georgia Institute of Technology

Additive Manufacturing and 3D Printing Technologies
Advanced Sensor and Energy Harvesting Materials
Electrospun Nanofibers in Biomedical Applications
Machine Learning in Materials Science
+1
J
Advanced Polymer Synthesis and Characterization
Block Copolymer Self-Assembly
Lipid Membrane Structure and Behavior
Machine Learning in Materials Science
+1
M
Michael Zavlanos, Ph.D.

Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science

Thomas Lord Department of Mechanical Engineering and Materials Science

Duke University

Control Theory, Optimization, and Learning; in Particular, Robotics and Autonomous Systems, Networked and Distributed Control Systems, and Cyber-Physical Systems.
Software-Defined Networks and 5G
Advanced Multi-Objective Optimization Algorithms
Machine Learning in Materials Science
+2
A
Amir Barati Farimani

Russell V. Trader Associate Professor, Mechanical Engineering

Department of Chemical Engineering

Carnegie Mellon University

Additive Manufacturing Materials and Processes
Computational Drug Discovery Methods
Machine Learning in Materials Science
Model Reduction and Neural Networks
+1
J
John Kitchin

John E. Swearingen Professor, Chemical Engineering

Department of Chemical Engineering

Carnegie Mellon University

Catalysis and Oxidation Reactions
Catalytic Processes in Materials Science
Electrocatalysts for Energy Conversion
Machine Learning in Materials Science
+1
O
Composite Material Mechanics
Hydrogen Embrittlement and Corrosion Behaviors in Metals
Machine Learning in Materials Science
Microstructure and Mechanical Properties
+1
E
Hydrogen Embrittlement and Corrosion Behaviors in Metals
Machine Learning in Materials Science
Metallic Glasses and Amorphous Alloys
Microstructure and Mechanical Properties
+1
S
Computational Drug Discovery Methods
Machine Learning in Materials Science
Manufacturing Process and Optimization
Scientific Computing and Data Management
+1
E
3D Printing in Biomedical Research
Cellular Mechanics and Interactions
Elasticity and Material Modeling
Machine Learning in Materials Science
+1
K
Keith Brown, PhD

Division Head, Materials Science & Engineering, Associate Professor (ME, MSE, Physics)

Department of Mechanical Engineering

Boston University

Additive Manufacturing and 3D Printing Technologies
Advanced Biosensing and Bioanalysis Techniques
Force Microscopy Techniques and Applications
Machine Learning in Materials Science
+1
D
Multiscale Multiphysics Modeling and Simulation
Optimization and Uncertainty Quantification
Physics-Informed Machine Learning
Process Monitoring and Control
+5
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