{"id":24030018,"url":"https://github.com/haakonvt/ann-md","last_synced_at":"2025-04-18T23:36:05.519Z","repository":{"id":85111569,"uuid":"68832827","full_name":"haakonvt/ANN-MD","owner":"haakonvt","description":"My master thesis: Using neural networks as hyper-potential surfaces in MD","archived":false,"fork":false,"pushed_at":"2021-01-06T15:55:27.000Z","size":221,"stargazers_count":5,"open_issues_count":0,"forks_count":2,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-03-29T06:42:14.988Z","etag":null,"topics":["master-thesis","neural-network","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/haakonvt.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2016-09-21T15:47:24.000Z","updated_at":"2020-05-11T10:05:22.000Z","dependencies_parsed_at":null,"dependency_job_id":"431c93a2-0271-409e-966c-9ccf8545d877","html_url":"https://github.com/haakonvt/ANN-MD","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/haakonvt%2FANN-MD","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/haakonvt%2FANN-MD/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/haakonvt%2FANN-MD/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/haakonvt%2FANN-MD/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/haakonvt","download_url":"https://codeload.github.com/haakonvt/ANN-MD/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":249565252,"owners_count":21292427,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["master-thesis","neural-network","tensorflow"],"created_at":"2025-01-08T17:05:22.243Z","updated_at":"2025-04-18T23:36:05.506Z","avatar_url":"https://github.com/haakonvt.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Neural Network Potential\n\n### What is this?\nThis code is part of my master thesis where I look into the use of neural networks as (hyper) potential energy surface (PES) in molecular dynamics (MD). Some simple examples, like approximating a \"completely\" arbitrary function of 1 or 2 variables is included and was used for training my own neural network i.e. my brain to work with TensorFlow.\n\nSome examples of how the neural network approximates a function of two variables can be seen in the videos below:\n\n1. https://www.youtube.com/watch?v=jxhNaDR5hlE\n2. https://www.youtube.com/watch?v=X3RO9oHPD-A\n\n\n## Warning/FYI: This repo is severely outdated!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhaakonvt%2Fann-md","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhaakonvt%2Fann-md","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhaakonvt%2Fann-md/lists"}