Comments (1)
hanks for your inquiry and your interest in kmos. The short answer is that whatever you are trying to achieve with kMC/kMOS it will be easier on Linux or a Mac but not Windows. Especially in the mid- to long-term. Most ground breaking computational/theoretical research I am aware of simply doesn't happen on Windows. Even though in theory it is possible to run kMOS on Windows (I have done so before) most of the tutorials will not make sense from within Windows
Having exported your *.xml file sounds great. Can you ensure that it actually compiled the model correctly? If so you should see a folder like Myfrist_kMC or Myfrist_kMC_local_smart in the same directory and inside two files called kmc_settings.py and kmc_model.pyd or something like that. In this directory you should run 'kmos view' from a shell. You are using a shell? Executing 'kmos view' in there should fire one window showing the surface geometry and another plotting window showing coverages and rates in real time. That however is usually just the first step, you should then for instance run 'kmos shell' and start playing with the API which will result in your own scripts that you can use to run an analyze rates and coverages from your model.
If this sounds complicated, frankly the problem is that most Monte Carlo techniques are difficult to do if your intention is to do absolutely zero programming. The frameworks that are emerging are still in a fairly early stage (including kmos). And can usually cover only a core set of model features and sampling techniques. Whenever you are interested in more exotic properties or model types, having some programming experience will be quite useful if not essential. So, if you try to work with the documentation (plus maybe Linux, Python, shell) you might learn a lot in the process. Also here I highly recommend checking out the lectures over at http://software-carpentry.org/.
from kmos.
Related Issues (20)
- my first kMC model-name.offset.lattice HOT 4
- no reasult like expected---firstmodel HOT 1
- Error: 'Meta' object has no attribute 'model_dimension' HOT 4
- run the example of "AB_model.py" HOT 5
- Segmentation fault on import of pygoocanvas module HOT 3
- Lattice Angles and Periodic Boundaries HOT 2
- Problem using model dimension of 1 in lat_int HOT 5
- error while running kmos view
- JANAF
- example model of 'render_Pt_111'
- Monitoring the diffusion path of an adatom HOT 3
- error with kmos view command HOT 2
- Errors on the debug mode
- Newer numpy (f2py?) produces strange errors HOT 3
- No command 'kmos' found HOT 1
- TypeError when running kmos view HOT 2
- Example render_pairwise_interaction_otf does not work!
- Fortran runtime error: Array size of PUT is too small HOT 2
- thin film with surface reactions
- Problem with installation HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from kmos.