activity
20182026
most citedOvercoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning

41 citations · 106 across the 22 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cond-mat.mtrl-sci2026

MASON: Materials Atomistic Structure builder Operated in Natural language

Xinyue Zhang, Jixiang Li, Bin Shao +3

Building reliable atomistic models is a critical and often challenging step in first-principles calculations. Although large language model agents can assist with structure generat…

cs.AI2026

ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search

Jiyan He, Guang Liang, Hao Liu +19

In this work, we present ZGCM-1, a fully open 7B dense foundation model trained from scratch with extreme data, system, and algorithmic efficiency. ZGCM-1 is founded on a core prem…

cond-mat.mtrl-sci2026

Fine-Tuning Small Language Models for Reliable VASP INCAR Generation

Xinyue Zhang, Jixiang Li, Bin Shao +3

Language models can prepare VASP INCAR files from natural-language requests, but so far only large proprietary cloud models come close to handling the tightly coupled, physics-sens…

cond-mat.mtrl-sci2026

INCARBench: A Benchmark for Scientific Configuration in VASP INCAR by Large Language Models

Bin Shao, Jixiang Li, Xinyue Zhang +3

Large language models (LLMs) are increasingly being integrated into first-principles computational workflows, yet their ability to configure scientific calculations remains poorly…

physics.comp-ph2026

Accelerating Locality-Driven Integration in Quantum Chemistry with Block-Structured Matrix Multiplication

Xinran Wei, Yan Pan, Fusong Ju +8

Locality-driven integration is a pervasive computational pattern in quantum chemistry, arising whenever spatially localized basis functions interact through numerical quadrature or…