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NagatoBigSeven/README.md

Profile views snapshot: 78 on 2026-10-07 Status GitHub Followers Google Scholar ORCID

Website LinkedIn Twitter OpenReview Email Resume


Typing SVG

Current research: AdsMind, CatDT, and multi-agent laboratory safety

AdsMind · CatDT · Laboratory safety

Approved Nagato icon; jump to the character cabinet

Research milestones · Character cabinet · Developer vignette

01 · Research 02 · Notes 03 · Blog 04 · After hours 05 · Nagato


📑 Table of Contents (Click to expand)

👨‍💻 About Me

Science and AI GIF

I am an undergraduate at The Hong Kong University of Science and Technology (HKUST), majoring in Computer Science with a minor in Chemistry. I was an exchange student at EPFL, Switzerland and took virtual coursework at SJTU. My research lies at the intersection of AI and the physical sciences (AI4Science) — building multi-agent systems that autonomously discover and validate catalytic materials.

As the Co-Founder & Vice President of the HKUST AI for Chemistry Club, I am deeply passionate about bridging the gap between computer science algorithms and wet-lab chemical intuition, fostering a community of interdisciplinary innovators.

  • 🔬 Research: Multi-Agent Systems for autonomous catalyst discovery, LLM-driven scientific workflows, Embodied AI for lab safety.
🏅 Honors, service & languages
  • 🏆 Honors: HKUST SENG Dean's List ×5 · HKSAR Government Scholarship Fund — Scholarship for Outstanding Performance ×3 · Hong Kong, China-APEC Scholarship ×3.
  • 🏅 Competition Awards: Finalist Award (Team Category), HKUST GenAI Hackathon Competition on a Putonghua Web Tool · First Prize (Theory Track), 5th National University Students' Data Analysis Popular Science Knowledge Competition Series.
  • 📝 Service: Reviewer for MLST (IOP), NeurIPS'26 AI4S Workshop, ICML'26 AI4S Workshop.
  • 🌏 Languages: Mandarin (native) · English (professional) · Japanese (approximately JLPT N3 level) · French (CEFR A1) · Cantonese (basic).
  • ⚡ Off-duty: 5 human languages, 7 programming languages, and occasionally building games in Godot & Unity.
  • 💬 Let’s connect: AI for Science, AI for Chemistry, AutoResearch, and open-source collaboration — email me.

⌨️ Research terminal · animated navigation

Animated profile navigation, not a recorded experiment

AdsMind · CatDT · Study notes


🗓️ Recent research updates (click to expand)

Five verified milestones: merged PR, community report, CatDT v1, AdsMind v1, CatDT v2

2026-01-28 · Merged Planner–Critic PR · 2026-05-04 · Community report · 2026-06-03 · CatDT v1 · 2026-06-17 · AdsMind v1 · 2026-07-09 · CatDT v2

Public code: AdsMind · CatDT

Project releases: AdsMind · CatDT

📄 All publications · 🌐 Personal website


Chapter 01

✨ Featured Work & Open Source

AdsMind 🚀

adsmind · reported results, public structure or schematic, and personal contribution

Paper Code Quick start

AdsMind: adsorption proposals, force-field relaxation, and self-correcting physical feedback

🎞️ Animated research loop · workflow schematic · click to toggle

Conceptual AdsMind loop: candidates, MLFF relaxation, constraint check, revision; not a recorded run

A conceptual loop illustration; it does not depict a recorded run or measured timing.

Finding stable adsorption configurations on heterogeneous catalyst surfaces has long been a laborious trial-and-error process. AdsMind automates this with a multi-agent closed loop: LLM agents propose candidate structures, a machine-learning force field relaxes them, and a physics-grounded verifier self-corrects errors — autonomous correction within the configured workflow.

Python Streamlit

AdsMind sample structures AdsMind GitHub stars

AdsMind: AA20 100%; OCD-GMAE62 98.8%; approximately 14x fewer MLFF relaxations than heuristic enumeration

Reported preprint results and benchmark scope.

My contribution: Led the closed-loop architecture development, built the benchmark framework, and conducted cross-backend evaluation. Code history.

Try it: Start with the supplied catalyst slabs and an adsorbate SMILES; inspect the run report, structure files, and rendered configuration (when available).

CatDT 🧪

catdt · reported results, public structure or schematic, and personal contribution

Paper Code Quick start

CatDT hub-and-spoke multi-agent digital-twin architecture

A self-evolving multi-agent digital twin for autonomous heterogeneous catalyst discovery, coordinating surface reconstruction, reaction-pathway analysis, and microkinetics from a bulk crystal and a natural-language reaction description.

catdt-gs GitHub stars

CatDT: memory-augmented reinforcement loop improves barrier-calculation success from 41% to 84% across 600 catalytic surfaces

Reported preprint results and benchmark scope.

My contribution: Co-author and research contributor to CatDT — paper authorship · system implementation.

🤝 Selected Open-Source Contributions

Merged Planner-Critic prototype PR in schwallergroup/llm_adsorbate, January 28, 2026

EPFL CS-477 team project: eBPF-LLM NetSentinel; contributor with public commit evidence

Merged upstream PR · NetSentinel contribution record.


📄 Publications & Preprints

# Paper Status
1 AdsMind: A Physics-Grounded Multi-Agent System for Self-Correcting Discovery of Adsorption Configurations on Heterogeneous Catalyst Surfaces Under review · arXiv:2606.19152
2 Autonomous Heterogeneous Catalyst Discovery with a Self-Evolving Multi-Agent Digital Twin Under review · arXiv:2606.05050
3 From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry arXiv:2605.03205

🗂️ Research entry points · papers, code & public examples

Project Paper Code Data / examples My work
AdsMind arXiv GitHub Public directory Project overview
CatDT arXiv GitHub Public directory Project overview
From Knowledge to Action arXiv — — Paper authors
🔬 Public repository examples · click to open

54 Pt atoms · repository coordinate projection

AdsMind: a projection of 54 committed Pt coordinates, showing a public input structure rather than a new optimization result. Source · XYZ

AdsorbDiff Cu111_CO · initial structure AdsorbDiff Cu111_CO · diffused structure

CatDT: committed AdsorbDiff module example images, showing the initial and diffused structures. These are not a new run or an end-to-end validation of CatDT. Source

💬 Ask a public research question · ✉️ Private collaboration


🖼️ Research visual gallery · papers & code

AdsMind · preprint v1

CatDT · preprint v2

AdsMind PDF · Code · CatDT PDF · Code

Visual summaries of existing preprints; these are not conference posters or published book covers. Public talks, models and posters can be added when available.

🔭 Research Experience

Final Year Project — HKUST (2026 – 2027 expected)

Embodied Multi-Agent System for High-Stakes Environment Safety Advisors: Prof. Chaojian Li & Prof. Lixue Cheng

The project aims to transfer autonomous driving architectures to edge-deployed labs, combining multi-agent reasoning, multimodal sensor fusion, and hardware-in-the-loop (HIL) control for laboratory safety.

UGRA — AI4PhysSci Lab, HKUST (02/2026 – present)

Supervisor: Prof. Lixue Cheng

  • Led the development of AdsMind: closed-loop architecture integrating generative agent proposals with machine-learning force-field (MLFF) relaxation feedback and self-correction, with DFT validation on representative systems.
  • Built a systematic multi-agent benchmark for adsorption structure prediction across diverse catalyst surfaces.
  • Contributed to CatDT: self-evolving multi-agent digital-twin framework for autonomous heterogeneous catalyst discovery.
Project Student — LIAC, ISIC, EPFL (09/2025 – 01/2026)

Supervisors: Prof. Philippe Schwaller & Dr. Edvin Fako

Developed agentic simulation methods combining language-model reasoning with atomistic simulation backends. This semester project established the EPFL–HKUST collaboration that produced AdsMind.

UROP — HKUST, Prof. Xiaojuan Ma (02 – 05/2025)

User Experience & Visual Representation in Virtual Reality

UROP — HKUST, Prof. Raymond Chi-Wing Wong (06 – 12/2024)

Knowledge Discovery Over Database


🎓 Education

Institution Program Period
HKUST BEng Computer Science · Minor in Chemistry · CGA 3.999/4.3 09/2023 – present
EPFL, Switzerland Exchange, School of Computer and Communication Science 09/2025 – 02/2026
SJTU (APRU Virtual) MSE2602 Materials Chemistry 02 – 06/2025

💼 Industry & Community Leadership

Role Organization Period
Computer Vision Algorithm Intern Sansen Well (Shanghai) Robotics Co., Ltd. 06 – 08/2025
UGTA: COMP2011, CSE Programming Commons HKUST 2024 – 2026
Co-Founder & Vice President HKUST AI for Chemistry Club 09/2026 – present
Student Representative, SENG Mainland UG Recruitment HKUST, Guangzhou 06 – 07/2026

🛠️ Technical Skills

In use: Python · PyTorch · NumPy · LangChain / LangGraph · RDKit / ASE.

Exploring: Fine-tuning · Embodied AI · Laboratory safety.

python pytorch numpy opencv rust javascript godot unity

Research workflows Development & other experience

AI / ML / LLM

PyTorch NumPy TensorRT LangChain LangGraph MCP RAG

Scientific Computing

RDKit ASE VTK

Languages, vision & platforms · click to toggle

Languages

Python C/C++ Java Scala C# JavaScript Rust

Computer Vision & 3D

YOLO SAM OpenCV 3D Reconstruction

Tools & Platforms

Linux Unity Godot Streamlit Meta XR


🧭 Open Source Shelf & Activity

Public starred repositories

Public starred repositories

Public pull requests and stable releases

Public pull requests and stable releases

🤝 Browse bookmarks, activity and repository contributors

Bookmarks are grouped by repository language. Contributor attribution comes from public commits and does not imply paper authorship or endorsement. Activity covers the latest 100 public events.

Chapter 02

📚 Study Notes

Latest verified study-note changes: one note per repository, three most recently updated repositories

📖 Open the latest notes · direct file links

Course & theory notes Hands-on tool notes
GenAI · Hung-yi Lee RDKit
NLP Fine-tuning
Quantum Information Chinese-language personal study notes; see each repository for setup.

Chapter 03

📖 Chemistry blog bookshelf

元素周期律 + 元素周期表 · 2021-09-02 酸碱理论 · 2021-09-01 氮族元素——磷 · 2021-08-28

Selected Chinese study notes from 2021; the decorative covers are original artwork, not article thumbnails.

Browse the blog archive

Chapter 04

🎮 Geek After Hours

Ooyodo, Agent-and-Wolf and Ibuki: public personal side projects

Ooyodo · Agent-and-Wolf · Ibuki pet

Chapter 05

🌸 Character cabinet

🌸 Character cabinet · click to open

Nagato approved icon, Ibuki source sprite, and Holo wolf-and-wheat emblem

Nagato · Ibuki · Holo

Nagato uses the approved icon; Ibuki uses a frame from the project spritesheet; Holo is represented by a wolf-and-wheat emblem.

Character Original work Connection here
Nagato Azur Lane GitHub avatar and profile visual identity
Ibuki Azur Lane Animated desktop companion
Holo Spice and Wolf ReAct role-playing agent

☁️ Community Research Cloud

Community science topics: real votes from open issues; placeholder words are explicitly marked

✏️ Add a topic · 🔀 Shuffle · 🤖 Update status

Sign in to submit a short scientific topic. Your newest valid submission replaces earlier ones; close it to withdraw, or reopen it to vote again. Updates run after submissions; GitHub image caching may delay display.

🖼️ Quarterly cloud gallery · click to open

Quarterly research cloud history; only real submissions, never example words

Each quarter retains its latest real-vote snapshot; example words are excluded. Closing all current votes clears this quarter’s snapshot. Older snapshots show historical counts.

View full-size snapshots

Calendar year progress with UTC update time; not research completion


📈 GitHub Analytics

Daily public GitHub metrics: public repositories, non-fork repository stars, and followers; animated constellation

Repositories · Followers · Update status


⌛ Weekly coding activity · public data

Weekly coding time from public WakaTime statistics; no estimated or invented hours

Only public WakaTime records are used. Until connected, no hours are shown; the language chart above describes repository contents.


README update workflow status

“探索未知,步履不停。”


Approved Nagato icon with gentle floating motion

☕ Weekly easter egg

Original developer vignette: propose a candidate, check constraints, save provenance; illustrative dialogue

Original developer humor, rotated weekly

NagatoBigSeven — AI for Science | AI for Chemistry | AutoResearch | Multi-Agent Systems | Large Language Models
🔍 View full-size artwork

Pinned Loading

  1. AI4QC/AdsMind AI4QC/AdsMind Public

    A Physics-Grounded Agent for Self-Correcting Adsorption Configuration Discovery on Heterogeneous Catalyst Surfaces

    Jupyter Notebook 7

  2. eBPF-LLM-NetSentinel eBPF-LLM-NetSentinel Public

    This is the official Github repo of eBPF-LLM NetSentinel, a research project of EPFL CS-477 Advanced Operating Systems (2025-26 Fall Term). An intelligent network threat detection system combining …

    Python 4

  3. Nine-Three-Cattery/PSC-Copilot Nine-Three-Cattery/PSC-Copilot Public

    GenAI Examiner for Cantonese-Speaking PSC Examinees

    JavaScript 1

  4. Agent-and-Wolf Agent-and-Wolf Public

    An ReAct agent that role-plays as the heroine "Wise Wolf" Holo of Isuna Hasekura‘s light novel Spice and Wolf

    Python 5

  5. Nagato-no-Quantum-Information-Notes Nagato-no-Quantum-Information-Notes Public

    Nagato's Markdown notes of HKUST course PHYS1007 - Quantum Information for Everyone taught by Prof. Shilin Huang in Spring Semester 2024-25, with formulas rendered in LaTex. Simplified Chinese vers…

    6

  6. NagatoBigSeven.github.io NagatoBigSeven.github.io Public

    My academic homepage.

    JavaScript 3