Scientific computing has been a cornerstone of modern science and engineering, enabling the modeling and simulation of complex systems across physics, biology, geosciences, and engineering. Rooted in the study of partial differential equations (PDEs), traditional scientific computing has evolved over the past century, developing robust numerical techniques such as finite difference methods, finite element methods, finite volume methods, and spectral methods. These approaches have provided researchers with powerful tools to gain insights into phenomena in fluid dynamics, material science, and biological processes.

This workshop aims to advance the integration of numerical methods and deep neural networks (DNNs), addressing both theoretical and practical challenges. It will serve as a platform for exploring the synergy between DNNs and numerical methods for PDEs, fostering the development of hybrid approaches that leverage the strengths of both fields.

Plenary Speakers 

Wei Cai, Southern Methodist University

Qiang Du, Columbia University

Xiaobing Feng,  University of Tennessee at Knoxville

George Karniadakis, Brown University

Guang Lin, Purdue University

Chun Liu, Illinois Institute of Technology

Qi Wang, University of South Carolina

Dongbin Xiu, Ohio State University

Haomin Zhou, Georgia Institute of Technology

Invited Speakers 

Constantin Bacuta, University of Delaware

Mingchao Cai, Morgan State University

Shuhao Cao, University of Missouri–Kansas City

Long Chen, University of California, Irvine

Qingguo Hong,  Missouri University of Science and Technology

Xiaozhe Hu, Tufs University

Kaibo Hu, University of Edinburgh  

Jiwei Jia, Jilin University

Young-Ju Lee,  Texas State University

Lu Lu, Yale University

Jonathan Siegel, Texas A&M University

Pengtao Sun, University of Nevada Las Vegas

Shu Wang, Beijing University of Technology

Shuonan Wu, Peking University

Yue Yu, Lehigh University

Shuo Zhang, Chinese Academy of Sciences

Organizing Committee 

Wenrui Hao, Penn State

John Harlim, Penn State

Xiantao Li, Penn State

Paul Milewski, Penn State

Ludmil Zikatanov, Penn State

Registration 

Please register for the workshop here by Oct. 1st 

Talks will be held in room 114 of McAllister Building. Click this link for a campus map.  You may park your car in Hub Parking Deck Garage

Travel and accommodation information 

The local airport in State College is the University Park Airport (SCE). It is approximately five miles from campus. 

You may travel to the following nearby airport and drive to Penn State

• Williamsport Regional Airport (1 hour)

• Harrisburg Airport (1.5 hours)

• Elmira Corning Regional Airport (2.5 hours)

• Pittsburgh International Airport (3.5 hours)

• Philadelphia International Airport (3.5 hours)

• Baltimore/Washington International Airport (3.5 hours)

• Dulles International Airport, Washington, D.C. (4 hours)

• Ronald Reagan Washington National Airport, Washington, D.C. (4 hours)

For accommodation information, please visit the Nittany Lion Inn

We thank the following organizations for supporting this conference: