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Quasiclassical Trajectory Calculations of Rate… duration 3 minutes 0 seconds Quasiclassical Trajectory Calculations of Rate… Quasiclassical Trajectory Calculations of Rate Constants Using an Ab-initio Trained Machine Learning Force Field (aML-MD), Zhiyu Shi, GS (7ACD870A)	Quasiclassical Trajectory Calculations of Rate Constants Using an Ab-initio Trained Machine Learning Force Field (aML-MD), Zhiyu Shi, GS (7ACD870A) Machine learning (ML) provides a great opportunity for the construction of models with improved accuracy for classical molecular dynamics (MD). However, the accuracy of a machine learning trained… prd24 machine network constants model energies risk technique accuracy field motion table trajectories forces configurations methodology chemical cost figure fields force From Research Princeton Research Day 1 likes 28 plays Date May 3rd, 2024 Speaker Zhiyu Shi, GS (7ACD870A) Department Mechanical and Aerospace Engineering
cos326-2020-06-02-simple-evaluation duration 23 minutes 36 seconds cos326-2020-06-02-simple-evaluation cos326-2020-06-02-simple-evaluation	cos326-2020-06-02-simple-evaluation Implementing Ocaml in Ocaml: Part 2: Substitution and Evaluation cos326 expression values function evaluation exception e2 variable ocaml operation expressions variables v1 integer step language substitution constants execution e1 option From Daniel Macleod 0 likes 273 plays Date August 12th, 2020 Speaker David Walker Department COS Location Princeton NJ

Quasiclassical Trajectory Calculations of Rate…

duration 3 minutes 0 seconds

Quasiclassical Trajectory Calculations of Rate…

Quasiclassical Trajectory Calculations of Rate Constants Using an Ab-initio Trained Machine Learning Force Field (aML-MD), Zhiyu Shi, GS (7ACD870A)

Machine learning (ML) provides a great opportunity for the construction of models with improved accuracy for classical molecular dynamics (MD). However, the accuracy of a machine learning trained…