Ji Feng on Muck Rack

Ji Feng

As seen in: Wiley Online Library, Color Research & Application, Nature, Frontiers, MDPI, ACS Publications, Royal Society of Chemistry, Canadian Journal of Infectious Diseases & Medical Microbiology, Physical Review B, Chemistry World
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Articles

Neural network self-consistent fields for density functional theory

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By Ji Feng, Feitong Song
| Nature Verified
Abstract Kohn-Sham density functional theory (KS-DFT) has found widespread application in accurate electronic structure calculations. However, it can be computationally demanding especially for large-scale simulations, motivating recent efforts toward its machine-learning (ML) acceleration. We propose a neural network self-consistent fields (NeuralSCF) framework that establishes the Kohn-Sham density map as a deep learning objective, which encodes the mechanics of the Kohn-Sham equations.
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Strategic Molecular Engineering of Next Generation Photoinitiation Systems with Enhanced Safety and Migration Stability for Long-Wavelength Photopolymerization Click to copy article link Article link copied!

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By Ji Feng, Michael Schmitt Verified, Hongwei Ma
| dx.doi.org
1. Introduction Click to copy section linkSection link copied! Photopolymerization is a green and evolving technology that utilizes a light source to initiate the polymerization of resin monomers without the need for solvents. It is characterized by high efficiency, safety, environmental friendliness, and precise temporal and spatial control, thereby revolutionizing material processing.
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A Blood-Triggered Adhesive Hydrogel Loaded with Reactive Oxygen Species-Responsive Liposomes for the Treatment of Acute Kidney Injury Click to copy article link Article link copied!

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By Jichen Wang, Ji Feng, Huaikang Li
| dx.doi.org
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