Max Solar assists the firm in patent prosecution in the areas of mechanical arts and materials science.

Prior to joining Wolf Greenfield, Max conducted doctoral research at MIT in the Department of Civil & Environmental Engineering. His research involved using computational modeling and simulation techniques to gain new insights into the mechanical properties of biological and materials systems from the molecular- to macro-scale. Specifically, his research included developing and training mathematical models of the behavior of materials, and implementing those models in C and C++ based simulation packages, with which simulations of systems of hundreds of thousands of individual particles were performed using distributed and GPU accelerated computing.  His research also involved processing and analyzing large data sets using various scripting languages including MATLAB, Python, and TCL.  In particular, his research focused on understanding the structure-property relationships in functional amyloid protein based materials and polymer adhesives.

In addition, he worked as a researcher in the Department of Materials Science & Engineering, where he investigated electrochemical techniques for creating aluminum alloys for high strength applications. During his undergraduate studies at the University of Pennsylvania, Max conducted research on hydrogen storage materials and thin metallic films for flexible electronics applications. Max was also a teaching assistant in the Departments of Materials Science & Engineering at MIT and Penn.

  • MIT Energy Fellow
  • Member of the Tau Beta Pi Engineering Honor Society 

Max's interests include cooking and skiing.

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Max Solar assists the firm in patent prosecution in the areas of mechanical arts and materials science.

Prior to joining Wolf Greenfield, Max conducted doctoral research at MIT in the Department of Civil & Environmental Engineering. His research involved using computational modeling and simulation techniques to gain new insights into the mechanical properties of biological and materials systems from the molecular- to macro-scale. Specifically, his research included developing and training mathematical models of the behavior of materials, and implementing those models in C and C++ based simulation packages, with which simulations of systems of hundreds of thousands of individual particles were performed using distributed and GPU accelerated computing.  His research also involved processing and analyzing large data sets using various scripting languages including MATLAB, Python, and TCL.  In particular, his research focused on understanding the structure-property relationships in functional amyloid protein based materials and polymer adhesives.

In addition, he worked as a researcher in the Department of Materials Science & Engineering, where he investigated electrochemical techniques for creating aluminum alloys for high strength applications. During his undergraduate studies at the University of Pennsylvania, Max conducted research on hydrogen storage materials and thin metallic films for flexible electronics applications. Max was also a teaching assistant in the Departments of Materials Science & Engineering at MIT and Penn.

  • MIT Energy Fellow
  • Member of the Tau Beta Pi Engineering Honor Society 


Max's interests include cooking and skiing.