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94 materials found

Python Workshop (IKON21)

If you have self enrolled onto the course please wait 5 minutes before launching the JupyterHub Access the course by clicking on the JupyterHub link. Click Start My Server > Start and your container will launch. In the folder called Notebooks you will find the following: ...

Keywords: data analysis library pandas

Resource type: Moodle course, e-learning

Python Workshop (IKON21) https://pan-training.hzdr.de/materials/python-workshop-ikon21 If you have self enrolled onto the course please wait 5 minutes before launching the JupyterHub Access the course by clicking on the JupyterHub link. Click Start My Server > Start and your container will launch. In the folder called Notebooks you will find the following: Jupyter basics: Jupyter notebook introduction. Python basics:  Basic language principles,  Sequence data types,  Control structures,  Working with functions,  Using modules,  Input and output,  Python 2 vs 3,  Python classes. Using external Libraries:  Scientific libraries numpy,  Plotting with matplotlib,  Ipywidgets,  Fitting scipy,  Data analysis library pandas,  Testing. Molecular visualization:  Visualization tutorial,  Atomistic simulation environment. McStas script SCIPP You can find a copy of the notebooks at https://github.com/ess-dmsc-dram/python-course-ikon/tree/master/notebooks This course was created by the Data Reduction, Analysis and Modelling group of the ESS.This version of the course was specifically created for IKON21 in September 2021. data analysis library pandas
Introduction to Neutron Reflectometry Fitting

This course was originally developed by Andrew McCluskey from the European Spallation Source for the ISIS Virtual Reflectometry Training Course. The full course can be read as a online book at: https://www.reflectometry.org/isis_school/intro.html The files can found on GitHub at...

Keywords: isis virtual reflectometry training

Resource type: Moodle course, e-learning

Introduction to Neutron Reflectometry Fitting https://pan-training.hzdr.de/materials/introduction-to-neutron-reflectometry-fitting This course was originally developed by Andrew McCluskey from the European Spallation Source for the ISIS Virtual Reflectometry Training Course. The full course can be read as a online book at: https://www.reflectometry.org/isis_school/intro.html The files can found on GitHub at https://github.com/reflectivity/isis_school To run the course as Jupyter notebooks here, click on the JupyterHub link and then Start My Server If you have self enrolled onto the course please wait 5 minutes before launching the JupyterHub. isis virtual reflectometry training
Creating your own course

If you only wish to create one course please email admin@pan-learning.org and we will create a blank course for you. We will assign you as teacher so you can have full control from there on. If you would like to be able to create your own blank courses you need to have 'Course Creator'...

Resource type: Moodle course, e-learning

Creating your own course https://pan-training.hzdr.de/materials/creating-your-own-course If you only wish to create one course please email admin@pan-learning.org and we will create a blank course for you. We will assign you as teacher so you can have full control from there on. If you would like to be able to create your own blank courses you need to have 'Course Creator' privelages on pan-learning.org. Please email admin@pan-learning.org and we will upgrade your account.
Introduction to Neutron Reflectometry

An introductory course to Neutrons and their properties, as a foundational pre-requisite for Neutron Scattering and Reflectometry experimentation and theory. 

Resource type: Moodle course, e-learning

Introduction to Neutron Reflectometry https://pan-training.hzdr.de/materials/introduction-to-neutron-reflectometry An introductory course to Neutrons and their properties, as a foundational pre-requisite for Neutron Scattering and Reflectometry experimentation and theory. 
SasView: Analysis of SAS Data

Teachers:  Adrian Sanchez-Fernandez, Judith Houston and Wojciech Potrzebowski This course will demonstrate how to approach small-angle scattering (SAS) data analysis. In Section 1 you will familiarise yourself with:  - The format of reduced data  - How to use standard plots to extract...

Keywords: small-angle scattering, reduced data, experimental data, scattering length densities, polydispersity

Resource type: Moodle course, e-learning

SasView: Analysis of SAS Data https://pan-training.hzdr.de/materials/sasview-analysis-of-sas-data Teachers:  Adrian Sanchez-Fernandez, Judith Houston and Wojciech Potrzebowski This course will demonstrate how to approach small-angle scattering (SAS) data analysis. In Section 1 you will familiarise yourself with:  - The format of reduced data  - How to use standard plots to extract information from experimental data  - How to calculate scattering length densities (SLD). In Section 2 you will familiarise yourself with the basic use of SasView. In Section 3, you will  analyse SAS test data with SasView software and see the effects of:  - Polydispersity  - Resolution  - Interparticle interaction. Section 4 and 5 are optional and will lead you through simultaneous fitting and \[ P(r) \] analysis. Software for this session: SasView 5.0.4. General introduction to SasView from Linxs webinar: Video - Small Angle Scattering Data Analysis with SasView. Agenda: 9:00 – 9:10 Introduction to Lab Session 9:10 – 9:20 Introduction to Section 1 9:20 – 11:30 Work on Sections 1, 2 and 3  - break-out rooms 11:30 – 13:30 Lunch break/catch up 13:30 – 15:30: Sections 4 and 5/Own data/AtSAS/Other problems - break-out rooms if needed 15:30 – Wrap-up small-angle scattering, reduced data, experimental data, scattering length densities, polydispersity
Muons in Superconductivity

We will learn with Pabitra Biswas what a superconductor is, how we measure magnetic fields, extract key length scales (vortex lattice), see how the measurement works, what kind of data you get, and gain an overview of how to understand the new physics.

Keywords: muons, superconductor, magnetic fields

Resource type: Moodle course, e-learning

Muons in Superconductivity https://pan-training.hzdr.de/materials/muons-in-superconductivity We will learn with Pabitra Biswas what a superconductor is, how we measure magnetic fields, extract key length scales (vortex lattice), see how the measurement works, what kind of data you get, and gain an overview of how to understand the new physics. muons, superconductor, magnetic fields
Introduction to SANS

This course is split into two sections: Theoretical background to SANS Case study of nanodisks using the LOKI instrument Useful links: SasView course Wiki page on SANS Wiki problems (exercises with solutions) on SANS Wiki simulation project (based on SANS-2 at PSI) McStas Simulation...

Keywords: sans case study, sans wiki simulation project, mcstas simulation tool

Resource type: Moodle course, e-learning

Introduction to SANS https://pan-training.hzdr.de/materials/introduction-to-sans This course is split into two sections: Theoretical background to SANS Case study of nanodisks using the LOKI instrument Useful links: SasView course Wiki page on SANS Wiki problems (exercises with solutions) on SANS Wiki simulation project (based on SANS-2 at PSI) McStas Simulation Tool: Use the same login details as for pan-learning.org. There are currently two instruments: SANSsimple and SANSsimpleSpheres sans case study, sans wiki simulation project, mcstas simulation tool
Illumidesk: Python Course

This course has the notebooks from the first four chapters of the IKON python course: Jupyter basics: Jupyter notebook introduction. Python basics:  Basic language principles,  Sequence data types,  Control structures,  Working with functions,  Using modules,  Input and output,  Python 2 vs...

Keywords: sequence data types, data analysis library pandas

Resource type: Moodle course, e-learning

Illumidesk: Python Course https://pan-training.hzdr.de/materials/illumidesk-python-course This course has the notebooks from the first four chapters of the IKON python course: Jupyter basics: Jupyter notebook introduction. Python basics:  Basic language principles,  Sequence data types,  Control structures,  Working with functions,  Using modules,  Input and output,  Python 2 vs 3,  Python classes. Using external Libraries:  Scientific libraries numpy,  Plotting with matplotlib,  Ipywidgets,  Fitting scipy,  Data analysis library pandas,  Testing. Molecular visualization:  Visualization tutorial,  Atomistic simulation environment. To access click on Illumidesk →Start My Server → Assignments →pythoncourse (drop down menu) → fetchAny notebooks you fetch will be visible on your illumidesk files tab.Do not submit the notebooks for feedback. sequence data types, data analysis library pandas
TestingJupyterhub

This course is invisible to students.

Resource type: Moodle course, e-learning

TestingJupyterhub https://pan-training.hzdr.de/materials/testingjupyterhub This course is invisible to students.
Erik Knudsen's Course

Course on X-ray scattering at the DanMAX beamline of MAX IV.

Resource type: Moodle course, e-learning

Erik Knudsen's Course https://pan-training.hzdr.de/materials/erik-knudsen-s-course Course on X-ray scattering at the DanMAX beamline of MAX IV.
Including Jupyter Notebooks in your Course

As a teacher you can have a JupyterHub container created that will be hosted remotely, linked to your course on PaN-learning. The container will clone your chosen github repository where you can edit and store Jupyter notebooks. Students will be able to open Jupyter notebooks (running on a...

Keywords: analyse experimental data, virtually explore large scale facility instruments, data modelling

Resource type: Moodle course, e-learning

Including Jupyter Notebooks in your Course https://pan-training.hzdr.de/materials/including-jupyter-notebooks-in-your-course As a teacher you can have a JupyterHub container created that will be hosted remotely, linked to your course on PaN-learning. The container will clone your chosen github repository where you can edit and store Jupyter notebooks. Students will be able to open Jupyter notebooks (running on a PaN-learning server) from your course. Examples where this might be useful: - Show students how to reduce and analyse experimental data themselves using python. - Introduce students to python modules or software used in data reduction and analysis. - Allow students to virtually explore large scale facility instruments. For example by using McStas (neutron instrument simulator). - Teach students data modelling and simulation techniques that use python. Requirements: What the student will interact with must be in the form of a Jupyter notebook. Your notebooks must be on a github repository. Currently you can ask for a JupyterHub container to have McStas or Scipp already installed. Note that the entire repository you provide will be cloned not just selected notebooks. However it does not have to be the master branch. If you require a container with other software to be installed it is possible to have a custom container created. However this container will need to be provided by yourselves and also be available on github. Useful Links: - Jupyter notebooks - What is a docker container? (and the wiki page) - Docker and Jupyterhub If you wish to include a link to a Jupyterhub container for your course. Please fill the form: Information to set up your container Once you have filled in the form you will receive an email to let you know the JupyterHub link is being set up and any further instructions that are required. Please note it may take a few days to be up and running. analyse experimental data, virtually explore large scale facility instruments, data modelling
Creating a Video Mini-Lecture

We recommend Open Broadcasting Software (OBS) as a great way to record yourself giving a presentation or lecture. It has more flexibility and results in a higher quality video than simply recording your screen on zoom/skype. It is easy to install and much easier to use than any video editing...

Keywords: open broadcasting software, video editing software

Resource type: Moodle course, e-learning

Creating a Video Mini-Lecture https://pan-training.hzdr.de/materials/creating-a-video-mini-lecture We recommend Open Broadcasting Software (OBS) as a great way to record yourself giving a presentation or lecture. It has more flexibility and results in a higher quality video than simply recording your screen on zoom/skype. It is easy to install and much easier to use than any video editing software. This course has four sections: Introduction to OBS and how it can be used. Tips for good video layout (this is useful regardless of whether you chose to use OBS). Links to OBS download instructions for Mac, Windows & Linux. How you could include live annotations or a blackboard style presentation with OBS open broadcasting software, video editing software
Introduction to small angle scattering

Currently an amalgamation of SANS and SAXS material.

Resource type: Moodle course, e-learning

Introduction to small angle scattering https://pan-training.hzdr.de/materials/introduction-to-small-angle-scattering Currently an amalgamation of SANS and SAXS material.
Python Workshop (IKON20)

THIS IS THE PREVIOUS IKON PYTHON COURSE FROM MARCH 2021 - The new one can be found hereAS OF 16/09/2021 THERE IS AN ISSUE WITH THE LINK - THIS WILL BE FIXED SOON This course has something for all levels of python and is split into 7 sections. The first four contain a set of jupyter notebooks...

Keywords: python based mcstas script, data analysis library pandas

Resource type: Moodle course, e-learning

Python Workshop (IKON20) https://pan-training.hzdr.de/materials/python-workshop-ikon20 THIS IS THE PREVIOUS IKON PYTHON COURSE FROM MARCH 2021 - The new one can be found hereAS OF 16/09/2021 THERE IS AN ISSUE WITH THE LINK - THIS WILL BE FIXED SOON This course has something for all levels of python and is split into 7 sections. The first four contain a set of jupyter notebooks that are designed to be worked through individually. You are encouraged to pick and choose which sections you are interested in. The other three contain notebooks to help you learn how to use python based McStas script and SCIPP along with an extra module with an example of Covid data anlysis.  Jupyter basics: Jupyter notebook introduction. Python basics:  Basic language principles,  Sequence data types,  Control structures,  Working with functions,  Using modules,  Input and output,  Python 2 vs 3,  Python classes. Using external Libraries:  Scientific libraries numpy,  Plotting with matplotlib,  Ipywidgets,  Fitting scipy,  Data analysis library pandas,  Testing. Molecular visualization:  Visualization tutorial,  Atomistic simulation environment. McStas script Extras SCIPP The notebooks can accessed and run via the Jupyter hub link. A new window will open, which will ask you to Start My Server.You can then chose which environment you would like to use (Basic Jupyter with McStas or Jupyter with SCIPP). Note that both include all the notebooks.To access the notebooks please navigate to python-course-ikon > notebooks. This course was created by the Data Reduction, Analysis and Modelling Group of the ESSThis version of the course was specifically created for IKON20 in March 2021. Course image by Chris Ried on Unsplash python based mcstas script, data analysis library pandas
Introduction to NMR analysis

Introduction to NMR analysis is a short introductory course intended for Bachelor's and Master's students of chemistry. It has been designed and is curated by Primož Šket (National Institute of Chemistry, Slovenia) and Aljoša Hafner (CERIC-ERIC, Italy). Course duration is approximately 45...

Keywords: liquid nmr analysis, liquid nmr sample preparation

Resource type: Moodle course, e-learning

Introduction to NMR analysis https://pan-training.hzdr.de/materials/introduction-to-nmr-analysis Introduction to NMR analysis is a short introductory course intended for Bachelor's and Master's students of chemistry. It has been designed and is curated by Primož Šket (National Institute of Chemistry, Slovenia) and Aljoša Hafner (CERIC-ERIC, Italy). Course duration is approximately 45 min. The main goal of the course is to gain knowledge on how to perform small molecule liquid NMR analysis (1H and 13C), going from the experiment to the empirical chemical formula. The following competences will be achieved: -Basic theoretical background is presented -Key components to liquid NMR sample preparation (isotopic labeling, solvent exchange, size) -Interactive work on 1D spectra of various compounds (e. g. CH3COOH, C2H4O2) -Determining the empirical chemical formula from measured spectra Key resources: https://www.nmrdb.org/new_predictor/index.shtml?v=v2.121.0 liquid nmr analysis, liquid nmr sample preparation
Introduction to X-ray Spectroscopy Calculations

In this module, you will learn about calculations of X-ray spectra using various flavours of multiplet theory.

Resource type: Moodle course, e-learning

Introduction to X-ray Spectroscopy Calculations https://pan-training.hzdr.de/materials/introduction-to-x-ray-spectroscopy-calculations In this module, you will learn about calculations of X-ray spectra using various flavours of multiplet theory.
Introduction to Muon Spin Spectroscopy

Welcome to the course on muon spin spectroscopy. This course is made up of ten modules: ‘Cosmic Ray Muons’, ‘Different Types of μSR’, ‘Analysis Methods of μSR’, 'Studying Diffusion with Muon Spin Relaxation', ‘Muon Data Analysis using Mantid Workbench’, ‘Muon Data Analysis Using MantidPlot’,...

Keywords: muon spin spectroscopy, cosmic ray muons, muon spin relaxation, muon data analysis, learn basic data analysis

Resource type: Moodle course, e-learning

Introduction to Muon Spin Spectroscopy https://pan-training.hzdr.de/materials/introduction-to-muon-spin-spectroscopy Welcome to the course on muon spin spectroscopy. This course is made up of ten modules: ‘Cosmic Ray Muons’, ‘Different Types of μSR’, ‘Analysis Methods of μSR’, 'Studying Diffusion with Muon Spin Relaxation', ‘Muon Data Analysis using Mantid Workbench’, ‘Muon Data Analysis Using MantidPlot’, ‘Muesr’, ‘Using Maximum Entropy Analysis in Mantid’, ‘Analysing ALC Data in Mantid’ and ‘Muon Data Analysis Using WiMDA’. Within the Cosmic Ray Muons module you will learn the fundamentals of muons and their applications within a simple experiment. The Different Types of μSR module covers the principles and applications of the six variations of μSR, and Analysis Methods of μSR goes through the various ways the data from these experiments can be analysed. Within the Muon Data Analysis modules, you will learn basic data analysis of real experimental data using either the MantidPlot or WiMDA software. muon spin spectroscopy, cosmic ray muons, muon spin relaxation, muon data analysis, learn basic data analysis
Neutrons, X-rays and Positrons for studying microscopic structures and dynamics

In this course you will learn about the basic techniques used to perfrom experiments in neutron scattering. Neutron scattering requires large scale facilities, and beam time is expensive. The overall aim of this introductory course is to put you in a better position to work with and make...

Keywords: neutron scattering

Resource type: Moodle course, e-learning

Neutrons, X-rays and Positrons for studying microscopic structures and dynamics https://pan-training.hzdr.de/materials/neutrons-x-rays-and-positrons-for-studying-microscopic-structures-and-dynamics In this course you will learn about the basic techniques used to perfrom experiments in neutron scattering. Neutron scattering requires large scale facilities, and beam time is expensive. The overall aim of this introductory course is to put you in a better position to work with and make decisions pertaining to experiments at large scale facilities. The contents of this course is targeted for master level physics students and can be used as a fully online self-study course. neutron scattering
Materials science in the virtual neutron facility

This short course allows you to investigate the properties of a rehargeable battery by neutron experiments at a virtual neutron faclity. Specifically you will investigate the various component of the battery by imaging, diffraction and quasi-elastic neutron scattering through  a learning...

Resource type: Moodle course, e-learning

Materials science in the virtual neutron facility https://pan-training.hzdr.de/materials/materials-science-in-the-virtual-neutron-facility This short course allows you to investigate the properties of a rehargeable battery by neutron experiments at a virtual neutron faclity. Specifically you will investigate the various component of the battery by imaging, diffraction and quasi-elastic neutron scattering through  a learning game. The game was developed as a collaboration between Labster and  the group of Linda Udby at Niels Bohr Institite, University of Copenhagen.  The development of the game was made possible by a grant in the Education 2016 project of University of Copenhagen.
Quiz Taster

This quiz has 5 questions on the basics of neutron science.

Resource type: Moodle course, e-learning

Quiz Taster https://pan-training.hzdr.de/materials/quiz-taster This quiz has 5 questions on the basics of neutron science.
Quasi-Elastic Neutron Scattering

Course created by Sanghamitra Mukhopadhyay. This module is divided into 10 sections. First nine will teach you about QENS instruments and theory. A case study is presented in the last section. Estimated Completion Time: 1 Hour

Resource type: Moodle course, e-learning

Quasi-Elastic Neutron Scattering https://pan-training.hzdr.de/materials/quasi-elastic-neutron-scattering Course created by Sanghamitra Mukhopadhyay. This module is divided into 10 sections. First nine will teach you about QENS instruments and theory. A case study is presented in the last section. Estimated Completion Time: 1 Hour
Jupyterhub

Welcome to the pan-learning.org Jupyter bridge! To access Jupyter, please click on "Jupyter access" below... NB. This is the previous method of having jupyterhub that is not course specific

Resource type: Moodle course, e-learning

Jupyterhub https://pan-training.hzdr.de/materials/jupyterhub Welcome to the pan-learning.org Jupyter bridge! To access Jupyter, please click on "Jupyter access" below... NB. This is the previous method of having jupyterhub that is not course specific
e-neutrons for teachers

This set of manuals is intended to help developers/teachers on the e-neutrons portal make and improve online material that can be used for learning about neutron scattering. In sum, they represent both some of the experiences we have had with making online learning material for the e-neutrons...

Keywords: improve online material, making online learning material, conducting massive open online courses, providing high quality feedback

Resource type: Moodle course, e-learning

e-neutrons for teachers https://pan-training.hzdr.de/materials/e-neutrons-for-teachers This set of manuals is intended to help developers/teachers on the e-neutrons portal make and improve online material that can be used for learning about neutron scattering. In sum, they represent both some of the experiences we have had with making online learning material for the e-neutrons portal and the choices we have made regarding how to make an e-learning portal. Many of these choices differ from choices made when conducting massive open online courses (MOOCs).   Our design choices are based on educational research, and we pay a lot of attention to what the goals for the portal and for each learning activity are. In particular, we have used research literature on digital learning, on assessment for learning, and on intended learning outcomes. We seek to align our online activities and the way we assess them with intended learning outcomes. Since the goal for the portal is not to provide users with a formal set of papers on how well they have performed, we have chosen not to provide students with traditional summative assessment such as grading or other performance evaluators. Rather, we have chosen to focus on providing high quality feedback to facilitate that students engage as much as possible with the learning material. The e-neutrons portal itself is an object of ongoing e-learning. Thus, we actively use student interactions with the portal to investigate more broadly how this type of e-learning works. improve online material, making online learning material, conducting massive open online courses, providing high quality feedback
Swedness Online 2021

The school is aimed as an introduction for starting Ph.D. students and covers an introduction to neutron scattering. This e-learning course is meant to be carried out in combination with classroom lectures in a blended learning setting.

Resource type: Moodle course, e-learning

Swedness Online 2021 https://pan-training.hzdr.de/materials/swedness-online-2021 The school is aimed as an introduction for starting Ph.D. students and covers an introduction to neutron scattering. This e-learning course is meant to be carried out in combination with classroom lectures in a blended learning setting.
Neutron Scattering Library

Neutron Scattering Library

Resource type: Moodle course, e-learning

Neutron Scattering Library https://pan-training.hzdr.de/materials/neutron-scattering-library Neutron Scattering Library
Neutron Scattering - KU 2020

In this course you will learn about the basic techniques used to perfrom experiments in neutron scattering. Neutron scattering requires large scale facilities, and beam time is expensive. The overall aim of this introductory course is to put you in a better position to work with and make...

Keywords: neutron scattering

Resource type: Moodle course, e-learning

Neutron Scattering - KU 2020 https://pan-training.hzdr.de/materials/neutron-scattering-ku-2020 In this course you will learn about the basic techniques used to perfrom experiments in neutron scattering. Neutron scattering requires large scale facilities, and beam time is expensive. The overall aim of this introductory course is to put you in a better position to work with and make decisions pertaining to experiments at large scale facilities. The contents of this course is targeted for master level physics students and can be used as a fully online self-study course. neutron scattering
Small Angle Scattering Data Analysis using SasView

Teachers: Paul Butler & Wojciech Potrzebowski

Resource type: Moodle course, e-learning

Small Angle Scattering Data Analysis using SasView https://pan-training.hzdr.de/materials/small-angle-scattering-data-analysis-using-sasview Teachers: Paul Butler & Wojciech Potrzebowski
Advanced Topics in Neutron Scattering

This course covers "Advanced Topics in Neutron Scattering".  The modules are stand-alone so you can take one or all and in any order you choose. Self-enrolment in this course is allowed. We recommend that you complete the introductory course on neutron scattering before attempting to follow this...

Resource type: Moodle course, e-learning

Advanced Topics in Neutron Scattering https://pan-training.hzdr.de/materials/advanced-topics-in-neutron-scattering This course covers "Advanced Topics in Neutron Scattering".  The modules are stand-alone so you can take one or all and in any order you choose. Self-enrolment in this course is allowed. We recommend that you complete the introductory course on neutron scattering before attempting to follow this modules in this course.
PaN-Training e-Learning

Welcome to the Photon and Neutron e-Learning platform This e-Learning platform hosts free education and training for scientists and students.Below you will find courses on both the theory of photon and neutron scattering and how to use python code or software for data reduction and modelling.

Resource type: Moodle course, e-learning

PaN-Training e-Learning https://pan-training.hzdr.de/materials/pan-training-e-learning Welcome to the Photon and Neutron e-Learning platform This e-Learning platform hosts free education and training for scientists and students.Below you will find courses on both the theory of photon and neutron scattering and how to use python code or software for data reduction and modelling.
Practical session: Liquid-State NMR (Nuclear Magnetic Resonance)

Liquid-State NMR (Nuclear Magnetic Resonance) practical session by Dr. Primož Šket from CERIC’s Slovenian Partner Facility, NMR at the National Institute of Chemistry

Keywords: Liquid-state NMR, NMR, Nuclear Magnetic Resonance

Resource type: video

Practical session: Liquid-State NMR (Nuclear Magnetic Resonance) https://pan-training.hzdr.de/materials/practical-session-liquid-state-nmr-nuclear-magnetic-resonance Liquid-State NMR (Nuclear Magnetic Resonance) practical session by Dr. Primož Šket from CERIC’s Slovenian Partner Facility, NMR at the National Institute of Chemistry Liquid-state NMR, NMR, Nuclear Magnetic Resonance PaN Community PaN users PhD students