Chemical and Biomolecular Engineering

Computational Sciences & Machine Learning

Students in a CBE class at Penn Engineering

This category includes the use of computational methods, simulations, and machine learning to solve complex problems in chemical and biomolecular engineering. It involves modeling chemical processes, predicting material behaviors, and analyzing large datasets.

Computational tools and machine learning techniques are increasingly used to accelerate research, optimize processes, and design new materials by providing insights that are difficult to obtain through experimental methods alone.

Course Title Semester
CBE 5060 Introduction to High-Performance Scientific Computing Fall or Spring
CBE 5140 Data Science and Machine Learning in Chemical Engineering Spring
CBE 5440 Computational Science of Energy and Chemical Transformations Fall or Spring
CBE 5590 Multiscale Modeling of Chemical and Biological Systems Not offered every year
CBE 6010 Deep Learning for Scientists and Engineers Spring

Affiliated Researchers

Primary Faculty

Scott Diamond

Scott L. Diamond

Professor

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Amish Patel

Professor

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Ravi Radhakrishnan

Ravi Radhakrishnan

Professor

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Robert Riggleman

Professor, Undergraduate Curriculum Chair

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Talid Sinno

Talid Sinno

Professor

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Aleksandra Vojvodic

Professor

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Secondary Faculty

Andrea Liu

Andrea Liu

Professor

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