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20232026
most citedBootstrapping AdS S hypermultiplets: hidden four-dimensional conformal symmetry

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

physics.chem-ph2026

DeepHartree: A Poisson-Coupled Neural Field for One-Shot Density Functional Theory

Jiankun Wu, Jinming Fan, Chao Qian +1

Density functional theory (DFT) with linear combinations of atomic orbitals (LCAO) is costly because of Coulomb-matrix construction and self-consistent-field (SCF) iterations. We i…

physics.chem-ph2026

ChemFlow:A Hierarchical Neural Network for Multiscale Representation Learning in Chemical Mixtures

Jinming Fan, Chao Qian, Wilhelm T. S. Huck +2

Accurate prediction of the physicochemical properties of molecular mixtures using graph neural networks remains a significant challenge, as it requires simultaneous embedding of in…

physics.chem-ph2025

MesoNet: A Fundamental Principle for Multi-Representation Learning in Complex Chemical Systems

Jinming Fan, Chao Qian, Shaodong Zhou

Accurate prediction of molecular properties in complex chemical systems is crucial for accelerating material discovery and chemical innovation. However, current computational metho…

hep-th2024★ 5 cited

Bootstrapping AdS S hypermultiplets: hidden four-dimensional conformal symmetry

Konstantinos C. Rigatos, Shaodong Zhou

We bootstrap the -point amplitude of hypermultiplets in at tree-level and for arbitrary external weights. We hereby explicitly d…

stat.ML2023

Neural Network Driven, Interactive Design for Nonlinear Optical Molecules Based on Group Contribution Method

Jinming Fan, Chao Qian, Shaodong Zhou

A Lewis-mode group contribution method (LGC) -- multi-stage Bayesian neural network (msBNN) -- evolutionary algorithm (EA) framework is reported for rational design of D-Pi-A type…