PRESENTATIONS AND RESEARCH

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Sustainability and Innovation

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Strategic Adviser Robert Burgelman on corporate innovation strategy during the financial crisis

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Strategic Adviser Robert Langer on Failure, Resilience and Making an Impact​

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TED  (2013):

• Designing materials one atom at a time

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Science  (2015):

• Financing Experiments
   

World Economic Forum  (2018):

• How the United States can win back its manufacturing mojo

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Science  (2012):

• Material Scientists look to data intensive future

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Supercomputing (2016):

• Co-design 3.0 – Configurable Extreme Computing, Leveraging Moore’s Law for Real Applications”

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The Changing Frontier: Rethinking Science and Innovation Policy  (2015):

• Innovation and Entrepreneurship in Renewable Energy
   

University of California-Los Angeles, Institute of Pure and Applied Mathematics Public Lecture (2015):

• Missing in Translation – Where are the Innovations?

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Argonne National Laboratory (2022):

• Future of Computing

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Solutions to specific "Last Mile" Translation Challenges

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Materials Analysis of Transistors

• The ultimate CMOS device and beyond

• Single-Walled Carbon Nanotube and Silicon Nanowire Junctionless Transistors

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System Analysis of Microarchitecture

• Die Stacking (3D) Microarchitecture

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Manufacturing and Sustainability

• Virtual Integrated Processing for IC Manufacturing

• Electroplating process for Cu chip metallization

• Elimination of Lead From Microprocessors

• Control software seen as 300-mm production hurdle

• Revolutionizing Manufacturing through Mathematics 

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Nanomaterials

• Nanomaterials and the Next Revolution in Materials

• Electron Scattering the presence of Divacancies in Carbon Nanotubes

• Phase stability in nanoscale material systems

Measurement and Modeling

• Thermal Stress in Realistic Multilevel Metal Interconnect Structures

• Simulations and experimental measurements in patterned interconnect structure

• Effects of passivation layer on stress relaxation in Copper line structures

• Materials Characterization in Nanodomains and Interfaces

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Machine Learning and Artificial Intelligence

• A fast hybrid methodology for evaluating material properties

• A Few Guiding Principles for Practical Applications of Machine Learning to Chemistry and Materials

• The perils of machine learning in designing new chemicals and materials

• A Novel Computational Artificial Intelligence Framework for Complex Physical, Chemical and Biological Networks

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Material Interfaces and Grain Boundaries

• Band offsets and dielectric properties of the amorphous Si3N4/Si(100) interface

• Effect of structure on electronic properties of the iron-carbon nanotube interface

• A fast method for predicting the formation of crystal interfaces and heterocrystals

• Fundamentals of Cu/Barrier-Layer Adhesion in Microelectronic Processing

• Simulation of grain boundary effects on electronic transport in metals

• Characterization of Phases and Orientations of Micro-structured Materials Using Computational Crystallography 

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Material Synthesis, Chemistry, and Processing

• Atomic Layer Deposition

• Electrochemistry

• Non-equilibrium Chemistry in Weakly Ionized Plasmas

• Chemistry, Mass Transport, and Fluid Flow in Chemical Mechanical Planarization

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Material Design and Engineering

• Nanowire structures having wrap-around contacts 

• Transistor channel mobility using alternate gate dielectric materials

• Porous ceramic materials as low-k films in semiconductor devices

• Metal interconnect structures for semiconductor devices

• Reducing resistivity in metal interconnects using interface control

• Composite materials for use in semiconductor components

• Polymer dielectric and passivation materials for a microelectronic device

 

​Theory, Modeling and Computational Methods

• Electromigration induced void nucleation, growth and evolution in interconnects

• Computational Materials, Chemistry, and Biochemistry: From Bold Initiatives to the Last Mile 

• A 3D Model of Electromigration and Stress-induced Void Nucleation

• Microscopic modeling of the dielectric properties of silicon nitride

• Electronic Materials Process Modeling

• Parallel Extended temperature-accelerated dynamics

• Concurrent Direct Simulation Monte Carlo 

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Advanced Process Control and Computational Techniques

• Revolutionizing Manufacturing through Mathematics: Illustrating the Impact of the Mathematical Sciences

• Control software seen as 300-mm production hurdle

• Parallel Extended temperature-accelerated dynamics

• Concurrent Direct Simulation Monte Carlo

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