---
title: "Physical and Theoretical Chemistry — papers — Elamur Research"
description: "Physical and Theoretical Chemistry: 3 papers of the Elamur Research library, the most cited first — our summary of each, its ideas…"
canonical: "https://research.elamur.ai/free/en/shelves/chemistry/physical-and-theoretical-chemistry/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/chemistry/physical-and-theoretical-chemistry/)

[home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Chemistry](https://md.research.elamur.ai/free/en/shelves/chemistry/) / Physical and Theoretical Chemistry

# 🧪 Physical and Theoretical Chemistry

3 papers · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Physical and Theoretical Chemistry is a subfield of Chemistry in the OpenAlex classification of science. The topics most of its papers here are on: «History and advancements in chemistry», «Advanced Physical and Chemical Molecular Interactions».

## Papers (3)

1. [**EvoMD-LLM: Learning the Language of Species Evolution in Reactive Molecular Dynamics**Zhichen Tang, Zhengzheng Dang, Yulin Chen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tang-2026-evomd-llm-learning-language-species/)
2. [**FACT: Functional Group Alignment and Consistency in Token Space for Structure-aware Molecular Representation Learning**Hyeonyeong Nam, Woojae Choi, Deok-Joong Lee, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nam-2026-fact-functional-group-alignment-consistency/)
3. [**MCLE-Mol: Empowering LLM with Molecular Comprehension and Low-Cost Continual Evolution for Interpretable Property Prediction**Zhili Pu, Lantian Zhang, Hao Duan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pu-2026-mcle-mol-empowering-llm-molecular/)

Updated 1 November 2026

- [↑ back to Chemistry](https://md.research.elamur.ai/free/en/shelves/chemistry/)
