🚨 LAST CALL: SPARk in Materials Science is now open, and the best time to join is right now. We have officia…

By Md. Fardous Hasan Bappy

🚨 LAST CALL: SPARk in Materials Science is now open, and the best time to join is right now.

We have officially launched, our first open class is done, and 14 researchers are already active in the lab. 🎉

Over the first 2-3 weeks we are in the topic-selection phase. After that, the research starts in full swing. Members who join now will start from day one with everyone else, instead of catching up later.

📅 What’s happening

✅ Class 1 (done): The lab’s goals, prospects and how we work were introduced, and members began choosing their own topics.

✅ Class 2 (this Wednesday at 8.30 PM): We collect feedback, merge individual topics into small groups of 4-5 members, and plan the coming weeks.

✅ After that: Weekly tasks, feedback and progress tracking begin for every group.

⚡ Why join now?

🔹 You pick your own topic with my guidance, while it is still open

🔹 You join a group and grow together with peers

🔹 You don’t miss the foundations of the lab: the method, the workflow and the first steps

🔹 You learn research with less but effective effort, using AI/ML, simulation and physics-based methods, with no wet lab needed

🛠️ What we work with: SCAPS-1D, MatCalc, Thermo-Calc, HOMER Pro, machine learning, Python-based modelling and AI-assisted coding in the field of materials science, energy materials, renewable energy, etc, all aimed at publication-ready research.

📚 About your supervisor: 6 Elsevier journal papers in 2026 (4 Q1, 2 Q2) and 4 conference papers, total 15+ research articles, built through experimental lab based researches, and both the slow software-first route and the faster ML + AI route, so I can help you skip the pain points.

👥 Who can join: Undergraduate and master’s students, PhD candidates, and PhD students, early-career researchers and curious beginners.

📢 How to join: Find SPARk in Materials Science on Researchbuddy AI and join, or message me your background and the areas that interest you. Join before Tuesday’s class so you can take part in topic grouping.

Simulate. Predict. Publish faster. 🚀

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