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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
Pranay Anchuri: DataX Information Technology… duration 3 minutes 35 seconds Pranay Anchuri: DataX Information Technology… Pranay Anchuri: DataX Information Technology Policy Data Scientist	Pranay Anchuri: DataX Information Technology Policy Data Scientist outcomes machine princeton blockchain networks science sociology optimization chemists platform projects trajectories scientists predictability researchers topics domains models tech scale From Broadcast Broadcast Center Staff 0 likes 88 plays

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…