MediaWiki API result

This is the HTML representation of the JSON format. HTML is good for debugging, but is unsuitable for application use.

Specify the format parameter to change the output format. To see the non-HTML representation of the JSON format, set format=json.

See the complete documentation, or the API help for more information.

{
    "batchcomplete": "",
    "query": {
        "pages": {
            "-1": {
                "ns": 0,
                "title": "API",
                "missing": ""
            },
            "9": {
                "pageid": 9,
                "ns": 0,
                "title": "Main Page",
                "revisions": [
                    {
                        "user": "David M. Rogers",
                        "timestamp": "2020-01-17T15:11:03Z",
                        "comment": "",
                        "contentformat": "text/x-wiki",
                        "contentmodel": "wikitext",
                        "*": "Predictivestatmech.org shows off predictive models for new physics and chemistry that appear\nwhen moving up from the atomic to the nano and micro-scale.  To support this\ngoal, we are developing the thermodynamics of far-from equilibrium systems,\nbuilding functional data structures for supercomputing and applying Bayesian\ninference to mine simulation data.  Work in these topics builds on recent\nadvances in fundamental computer science, applied statistics, and\nnonequilibrium physics and chemistry.  Together, new developments in these\nfields will allow unprecedented access to electron through device-level\nsimulations and analysis for materials design grounded in fundamental physics.\n\nTwo research areas collectively have the potential to\ngreatly reduce the time and effort building, running, and analyzing\nmolecular and continuum simulations for modern high-performance\ncomputing platforms.\nThe first expands the theory and techniques of statistical\nmechanics for probabilistic simulation of energy conversion\ndevices.  The second applies advances in domain-specific languages\nto eliminate the lag between defining a physical, Hamiltonian model and carrying\nout dynamics and other computations on its potential energy\nlandscape.\n\nFor more details, see the [[Research]], [[Publications]], and [[Predictive_Chemistry:Current_events|Current events]] links."
                    }
                ]
            }
        }
    }
}