Conference Agenda

Session Overview
Location: virtual
 
Date: Wednesday, 11/Aug/2021
9:00am
-
6:30pm
School - Electron: Electron Crystallography School
Location: virtual
Chair: Xiaodong Zou
Chair: Louisa Meshi
Chair: Lukáš Palatinus

Website - virtual

Workshop - Data: When should small molecule crystallographers publish raw diffraction data?
Location: virtual
Chair: Amy Sarjeant
Chair: Simon John Coles

Website - virtual


 
Date: Thursday, 12/Aug/2021
9:00am
-
4:00pm
Workshop CCDC/FIZ: CSD and ICSD workshop
Location: virtual
Chair: Suzanna Ward
Chair: Annett Steudel
9:00am
-
6:30pm
School - Electron 2: Electron Crystallography School
Location: virtual
Chair: Xiaodong Zou
Chair: Louisa Meshi
Chair: Lukáš Palatinus
SEC - Posters: Electron Crystallography School - Poster
Location: virtual
Chair: Xiaodong Zou
Chair: Louisa Meshi
Chair: Lukáš Palatinus
Workshop - Data2: When should small molecule crystallographers publish raw diffraction data?
Location: virtual
Chair: Amy Sarjeant
Chair: Simon John Coles
 

 
Date: Friday, 13/Aug/2021
8:30am
-
4:30pm
Workshop - Olex: Olex2 workshop
Location: virtual
Chair: Horst Puschmann
9:00am
-
5:00pm
School - Electron 3: Electron Crystallography School
Location: virtual
Chair: Xiaodong Zou
Chair: Louisa Meshi
Chair: Lukáš Palatinus
Workshop - ICDD: ICDD workshop
Location: virtual
Chair: Thomas Nelson Blanton
Chair: Jose Miguel Delgado

Virtual workshop 


 
Date: Saturday, 14/Aug/2021
9:00am
-
1:00pm
Workshop - APEX: APEX4 Workshop (Bruker)
Location: virtual

Website - virtual

9:00am
-
3:00pm
Workshop - MX: MX Raw image data and metadata, formats and validation
Location: virtual

 
Date: Sunday, 15/Aug/2021
5:10pm
-
6:10pm
Workshop - High Score: Easy automation and more accurate analysis with High Score Plus (V4)
Location: virtual

Website - virtual


 
Date: Thursday, 19/Aug/2021
1:00pm
-
2:30pm
ECA - SIG-3: ECA - SIG-3 Aperiodic Crystals
Location: virtual
2:00pm
-
2:45pm
ECA - GIG-3: ECA - GIG-3 Education in Crystallography
Location: virtual

 
Date: Friday, 20/Aug/2021
1:00pm
-
2:30pm
ECA - SIG-13: ECA - SIG-13 Molecular Structure and Chemical Properties
Location: virtual
ECA - SIG-9: ECA - SIG-9 Crystallographic Computing
Location: virtual
1:45pm
-
2:45pm
ECA - SIG-7: ECA - SIG-7 Molecular Interaction and Recognition
Location: virtual

 
Date: Wednesday, 25/Aug/2021
2:00pm
-
6:00pm
Workshop - Resolution matters: Resolution Matters:- Discover the pathway from a high resolution 2D scan to the best phase analysis (Panalytical)
Location: virtual

Join us on 25th August 2pm with Alejandro Rodríguez Navarro

Register Here: www.malvernpanalytical.com/IUCr2021

 


 
Date: Wednesday, 01/Sept/2021
2:00pm
-
8:00pm
School - Computing: Crystallographic Computing School
Location: virtual
Chair: Martin Lutz
Chair: Claudia Millán

The Computing School will cover aspects that are relevant to all fields of crystallographic computing. As the main topic we will focus on the determination and the use of eigenvectors and eigenvalues and their applications in the different fields of crystallography. Applications range from the well known principal component analysis and other statistical and machine learning techniques to modelling using Markov processes, or optimization of functions. Fields such as image processing, information theory, and crystallography make use of these in many of its most fundamental methods. It impacts directly macromolecular crystallography in both phasing and refinement aspects. In small molecule crystallography and materials science research, it allows the understanding of very fundamental physical properties of matter. In this school, our aim is to learn and teach about this general topic from the computing aspect of the fundamentals, but also the computing tools and the data.

School - ePDF: School on electron PDF (pair-distribution function)
Location: virtual
Chair: Tatiana Gorelik

virtual meeting


 
Date: Thursday, 02/Sept/2021
2:00pm
-
8:00pm
School - Computing 2: Crystallographic Computing School
Location: virtual
Chair: Martin Lutz
Chair: Claudia Millán

The Computing School will cover aspects that are relevant to all fields of crystallographic computing. As the main topic we will focus on the determination and the use of eigenvectors and eigenvalues and their applications in the different fields of crystallography. Applications range from the well known principal component analysis and other statistical and machine learning techniques to modelling using Markov processes, or optimization of functions. Fields such as image processing, information theory, and crystallography make use of these in many of its most fundamental methods. It impacts directly macromolecular crystallography in both phasing and refinement aspects. In small molecule crystallography and materials science research, it allows the understanding of very fundamental physical properties of matter. In this school, our aim is to learn and teach about this general topic from the computing aspect of the fundamentals, but also the computing tools and the data.


 
Date: Friday, 03/Sept/2021
2:00pm
-
8:00pm
School - Computing 3: Crystallographic Computing School
Location: virtual
Chair: Martin Lutz
Chair: Claudia Millán

The Computing School will cover aspects that are relevant to all fields of crystallographic computing. As the main topic we will focus on the determination and the use of eigenvectors and eigenvalues and their applications in the different fields of crystallography. Applications range from the well known principal component analysis and other statistical and machine learning techniques to modelling using Markov processes, or optimization of functions. Fields such as image processing, information theory, and crystallography make use of these in many of its most fundamental methods. It impacts directly macromolecular crystallography in both phasing and refinement aspects. In small molecule crystallography and materials science research, it allows the understanding of very fundamental physical properties of matter. In this school, our aim is to learn and teach about this general topic from the computing aspect of the fundamentals, but also the computing tools and the data.