2021
DOI: 10.26434/chemrxiv.14710815.v1
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General Many-Body Framework for Data-Driven Potentials with Arbitrary Quantum Mechanical Accuracy: Water as a Case Study

Abstract: <div> <div> <div> <p> </p><div> <div> <div> <p>We present a general framework for the development of data-driven many-body (MB) potential energy functions (MB-QM PEFs) that represent the interactions between small molecules at an arbitrary quantum-mechanical (QM) level of theory. As a demonstration, a family of MB-QM PEFs for water are rigorously derived from density functionals belonging to differ- ent rungs across Jacob’s … Show more

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“…Briefly, the MB-nrg PEFs use a combination of short-range permutationally invariant polynomials (PIPs) 58 trained on electronic structure data and physicsbased functions to represent the 1B, 2B, and 3B terms of the MBE in Eq. 1, 57,59 while all other nB terms with n > 3 are represented by an implicit many-body term derived from the Thole model of classical polarization. 60 Within the MB-nrg theoretical/computational framework, Eq.…”
Section: Mb-nrg Pefsmentioning
confidence: 99%
“…Briefly, the MB-nrg PEFs use a combination of short-range permutationally invariant polynomials (PIPs) 58 trained on electronic structure data and physicsbased functions to represent the 1B, 2B, and 3B terms of the MBE in Eq. 1, 57,59 while all other nB terms with n > 3 are represented by an implicit many-body term derived from the Thole model of classical polarization. 60 Within the MB-nrg theoretical/computational framework, Eq.…”
Section: Mb-nrg Pefsmentioning
confidence: 99%