Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Please note that all times are shown in the time zone of the conference. The current conference time is: 31st Oct 2024, 11:46:01pm CET

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

Website - virtual

9:00am - 6:30pmWorkshop - Data: When should small molecule crystallographers publish raw diffraction data?
Location: virtual
Session Chair: Amy Sarjeant
Session Chair: Simon John Coles

Website - virtual

Date: Thursday, 12/Aug/2021
9:00am - 4:00pmWorkshop CCDC/FIZ: CSD and ICSD workshop
Location: virtual
Session Chair: Suzanna Ward
Session Chair: Annett Steudel
9:00am - 6:30pmSchool - Electron 2: Electron Crystallography School
Location: virtual
Session Chair: Xiaodong Zou
Session Chair: Louisa Meshi
Session Chair: Lukáš Palatinus
9:00am - 6:30pmSEC - Posters: Electron Crystallography School - Poster
Location: virtual
Session Chair: Xiaodong Zou
Session Chair: Louisa Meshi
Session Chair: Lukáš Palatinus
9:00am - 6:30pmWorkshop - Data2: When should small molecule crystallographers publish raw diffraction data?
Location: virtual
Session Chair: Amy Sarjeant
Session Chair: Simon John Coles
Date: Friday, 13/Aug/2021
8:30am - 4:30pmWorkshop - Olex: Olex2 workshop
Location: virtual
Session Chair: Horst Puschmann
9:00am - 5:00pmSchool - Electron 3: Electron Crystallography School
Location: virtual
Session Chair: Xiaodong Zou
Session Chair: Louisa Meshi
Session Chair: Lukáš Palatinus
9:00am - 5:00pmWorkshop - ICDD: ICDD workshop
Location: virtual
Session Chair: Thomas Nelson Blanton
Session Chair: Jose Miguel Delgado

Virtual workshop 

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

Website - virtual

9:00am - 3:00pmWorkshop - MX: MX Raw image data and metadata, formats and validation
Location: virtual
Date: Sunday, 15/Aug/2021
5:10pm - 6:10pmWorkshop - High Score: Easy automation and more accurate analysis with High Score Plus (V4)
Location: virtual

Website - virtual

Date: Thursday, 19/Aug/2021
1:00pm - 2:30pmECA - SIG-3: ECA - SIG-3 Aperiodic Crystals
Location: virtual
2:00pm - 2:45pmECA - GIG-3: ECA - GIG-3 Education in Crystallography
Location: virtual
Date: Friday, 20/Aug/2021
1:00pm - 2:30pmECA - SIG-13: ECA - SIG-13 Molecular Structure and Chemical Properties
Location: virtual
1:00pm - 2:30pmECA - SIG-9: ECA - SIG-9 Crystallographic Computing
Location: virtual
1:45pm - 2:45pmECA - SIG-7: ECA - SIG-7 Molecular Interaction and Recognition
Location: virtual
Date: Wednesday, 25/Aug/2021
2:00pm - 6:00pmWorkshop - 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 - 8:00pmSchool - Computing: Crystallographic Computing School
Location: virtual
Session Chair: Martin Lutz
Session 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.

2:00pm - 8:00pmSchool - ePDF: School on electron PDF (pair-distribution function)
Location: virtual
Session Chair: Tatiana Gorelik

virtual meeting

Date: Thursday, 02/Sept/2021
2:00pm - 8:00pmSchool - Computing 2: Crystallographic Computing School
Location: virtual
Session Chair: Martin Lutz
Session 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 - 8:00pmSchool - Computing 3: Crystallographic Computing School
Location: virtual
Session Chair: Martin Lutz
Session 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.


 
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