UTEP Computational Science

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UTEP Computational Science

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Computational Science is an interdisciplinary program, a synergy of different fields, that yields an integrated knowledge-base for the effective solution of complex systems where computer usage plays a fundamental role.

10/15/2025

Dr. Mitchell on Computing Geometry; 4/14/25, 4 PM:https://www.utep.edu/science/computational-science/seminar/25/mitchell_crlc-seminar250414.pdf

10/02/2024

Dr. Hoyer on Computational Chemistry on Friday, 10/4/24, 3:00 PM
https://www.utep.edu/science/computational-science/seminar/24/hoyer241004.pdf

03/13/2024

Dr. Almgren on Adaptive Mesh Refinement; 3/18/24, 4:00 PMhttps://www.utep.edu/science/computational-science/seminar/24/almgren_crlc-seminar240318.pdf

10/06/2022

Faculty Position Available: Assistant Professor in Computational Science. Click for more information: https://utep.interviewexchange.com/jobofferdetails.jsp?JOBID=154032

02/16/2022

CRLC Seminar by Dr. Halappanavar on Monday, 2/21/2022, 4:00 – 5:30 PM. For more details, please download flyer athttps://www.utep.edu/science/computational-science/_Files/Halappanavar_CRLC-Seminar.pdf

To register for remote access for the seminar, please click this link: https://us06web.zoom.us/meeting/register/tZMvf--gpjsqHdNKzXoX3Yf2cx9MtIACf0z9

12/21/2020

Dr. Carlos Diaz is a PhD graduate supervised by Dr. Rajendra Zope in the Department of Physics. He had previously received an award from the Office of Science Graduate Student Research, US Department of Energy (DOE), providing him with funding to work with DOE scientists at Lawrence Livermore National Laboratory. At the graduation in Fall 2020, he has received the College of Science Academic and Research Excellence Award in CPS.

09/28/2020

This past year, the 25th Joint UTEP/NMSU Workshop was held with students presenting research on Mathematics, Computer Science, and Computational Science.

Learn more:
http://www.cs.utep.edu/vladik/utepnmsu19.html

09/02/2020

Computational Science Fall Semester Information:

07/05/2020

By accepting that projects will be affected by the coronavirus pandemic, students and supervisors can find a healthy way forward, say Paul Ashton and Linamaria Pintor-Escobar.

10/16/2019

https://www.utep.edu/science/computational-science/_Files/docs/Sosa-Fulbright-Lecture191024.PDF

Address

500 W University Avenue
El Paso, TX
79968

Telephone

+19157478484

Website

http://computationalscience.utep.edu/

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