COMPRES Pre-Meeting Workshops

2017 COMPRES Annual Meeting

Hyatt Regency Tamaya Resort, Santa Ana Pueblo, New Mexico

July 09, 2017 to July 12, 2017

The COMPRES 2017 Pre-Meeting Workshops will be held on July 9, 2017 from 8am to 4pm at the Hyatt Regency Tamaya Resort, New Mexico, USA.  Breakfast, lunch, AM and PM coffee breaks will be provided.

The Tamaya Resort is located within the Santa Ana Pueblo and is situated on the Rio Grande River at the base of Sandia Mountains. The Tamaya is 50 miles from Santa Fe, 26 miles from Albuquerque International Airport, and 23 miles from Downtown Albuquerque.

Workshop registration deadline: June 26, 2017

Single and double-occupancy lodging at Tamaya Resort is available for the workshops beginning July 8, 2017 at the discounted COMPRES meeting lodging rate of $119 per night + 14.74% tax (resort fees have been waived).  We are increasing the level of support for students and Post docs this year.  Due to the increase in support for students and Post docs, regular attendees are asked to pay for their own lodging.  To make a reservation for a hotel room click here.

COMPRES Workshop: "Ab Initio Tools for Hypothesis Testing", July 9, 2017
Check-in:  July 8, 2017
Registration Fee: $50

Organizers: Wendy Panero (Ohio State) and Razvan Caracas (Ecole Normale Supérieure de Lyon)
Raman vibrational spectroscopy is one of the most used techniques of analysis and characterization of minerals. As an optical method, it has the advantage of being non-destructive and remote. The analysis can be performed in situ, in the field or laboratory; even Mars will have its own Raman spectrometers landed in a 2020.
We invite participants for a one-day school on computational vibrational spectroscopy targeted towards experimentalists. We will introduce the basic concepts of the ab initio simulations with a focus on the calculation of Raman spectra to facilitate analysis of experimentally observed phase transitions.  The workshop will be structured in foundational lectures in the morning, with hands on demonstration exercises in the afternoon.  The focus of the hands on demonstration will be to assess the likelihood of structural transitions from vibrational spectra.
Click here to view the workshop program

To register for COMPRES Workshop: "Ab Initio Tools for Hypothesis Testing" click here 

Bold indicates student/Post-doc attendee

  Last Name First Name Institution Email
1 Arveson Sarah Marie Yale University
2 Caracas Razvan Ecole Normale Superior de Lyon
3 Creasy Neala Yale University
4 Daviau Kierstin Yale University
5 Deng Jie Yale University
6 Dong Tiannong University of Texas at Austin
7 Dorfman Susannah Michigan State University
8 Girard Jennifer Yale University
9 Kavner Abby UC Los Angeles
10 Kim Joonseok University of Texas at Austin
11 Mueller Hans J.  Karlsruhe Institute of Technology
12 O'Bannon Earl UC Santa Cruz
13 Panero Wendy Ohio State University
14 Park Sulgiye Stanford University
15 Qin Tian University of Minnesota
16 Roberts Richard H.  University of Texas at Austin
17 Rowland II Richard L.  University of Nevada, Las Vegas, Jacobs JETS
18 Rucks Melinda Stony Brook University
19 Santos Alison University of New Mexico
20 Shieh Sean University of Western Ontario
21 Tao Renbiao Carnegie Institution
22 Thompson Lily University of Chicago
23 Valencia Juan J. University of Minnesota
24 Vander Kaaden Kathleen Jacobs Technology/NASA Johnson Space Center
25 Vennari Cara UC Santa Cruz
26 Wenz Michelle Northwestern University
27 Weldon Nicholas C UC Davis
28 Zou Qin Carnegie Institution for Science

COMPRES Workshop: "Software Toolkit",  July 9, 2017
Check-in: July 8, 2017
Registration Fee: $50

Organizers: S.-H. Dan Shim, Cayman Unterborn (ASU), Przemyslaw Dera, Bin Chen (Univ. Hawaii), and Christopher McGuire (UCLA)
Invited Speakers: Mark Ghiorso (OFM Research) and Cayman Unterborn (ASU)
Recent developments in the COMPRES user facilities have dramatically improved the quality of the data collected and the efficiency of the measurements. New techniques have enabled us to measure multi-dimensional data, such as 2D mapping and 3D tomography. As a result, data volume has increased significantly and the data structure has become much more complicated. However, existing approaches are not sufficiently adaptive enough for such rapid evolution of data.
In this one-day workshop, we will introduce data science and computational approaches for the analysis, processing, and interpretation of the mineral physics data.  The workshop includes talks on the community software toolkit approach and existing tools (Burnman and Melt).  The workshop will also offer hands-on tutorials on python scripting combined with Jupyter notebook (S.-H. Shim), BurnMan (C. Unterborn), and Melt (M. Ghiorso).  We encourage the participation of graduate students and early-career researchers who are interested in learning basic skills in computational and data-science approaches for large datasets using Python and taking advantage of existing tools.
Click here to view the workshop program

To register for COMPRES Workshop: "Software Toolkit" click here

Bold indicates student/Post-doc attendee

  Last Name First Name Institution Email
1 Chen Bin University of Hawaii
2 Chen Huawei Arizona State University
3 Chen Ting Stony Brook University
4 Davis Anne University of Chicago
5 Dera Przemyslaw University of Hawaii
6 Duncan Megan Carnegie Institution
7 Ghiorso Mark S. OFM Research
8 Kim Taehyun Yonsei University
9 Lai Xiaojing University of Hawaii
10 Lazarz John Northwestern University
11 Leinenweber Kurt Arizona State University
12 Liang Xue CeSMEC, Florida International University
13 Liu  Jin Stanford University
14 Lv Mingda Michigan State University
15 Martin Joshua Ohio State University
16 McGuire Christopher UC Los Angeles
17 Mohiuddin Anwar Yale University
18 Ross Nancy L.  Virginia Tech
19 Shim Sang-Heon Arizona State University
20 Sims Melissa Stony Brook University
21 Tyburczy James Arizona State University
22 Walsh James Northwestern University
23 Wang Fei Northwestern University
24 Whitaker Matthew Mineral Physics Institute, Stony Brook University
25 Wu Ye Wuhan University of Technology
26 Zhang Jin University of New Mexico