SimTech EXC 2075 Project Network 3 "Data-integrated model reduction for particles and continua"
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PN 3-8(Universität Stuttgart)
Jul 5, 2022
Use of physically-based surrogate models to accelerate the optimization of classical force fields and development of new reduced order models for transport properties based on entropy scaling. Machine-learned models for transport properties will be developed with an increasing data-base of simulated force field parameters and substances.
Adobe PDF - 313.9 KB - MD5: 847b17bd3bd4b303e5d37faf6e5ab4b7
documentation of buildHybrid.py
Python Source Code - 105.6 KB - MD5: 5765a6709bd73ed2ea1b7755c18db7ac
Python tool to prepare perturbation topologies for GROMOS
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