Report on AI Workshop V: Revising & Proofreading with AI (7 Aug 2024)
I attended the "AI Workshop V: Revising & Proofreading with AI" at another campus. This workshop was part of a series on using AI in writing and was presented in English. We compared the quality of apps like Grammarly, DeepL, Padlet, and ChatGPT.
One key takeaway is the importance of reading terms and conditions before using any AI tools. These platforms often get permission to use your data for their training processes. Also, your project data might not be allowed to be shared on these platforms, so make sure to check this beforehand with your supervisor.
Another point is that while DeepL might just correct your sentences, ChatGPT can write new text from scratch. We need to think about whether the new text is really our work or the machine's. Relying too much on AI might stop us from improving our writing skills.
As the German saying goes, "Until no one finds the problem, everything is safe."
Report on Schrödinger Workshop (6 June 2024)
I attended a workshop held by Schrödinger and wanted to share some insights with you.
The workshop introduced the Molecular Dynamics method and showcased the capabilities of Schrödinger software. We learned how to set up simulations, provide molecular structures, and define simulation boxes. The software allows us to handle almost all molecular tasks, from simulation setup to post-processing, with just a few clicks. They also demonstrated how to use machine learning algorithms to simulate polymers, such as polymer melts.
They provided printed troubleshooting guides. If anyone is interested, please let me know.
As researchers, it's beneficial to understand what commercial software like Schrödinger offers. One limitation I noticed is its capability to report thermophysical properties in different scenarios. For instance, it includes the Green-Kubo method, but it needs more flexibility to work in various situations, given its commercial use by people from different backgrounds.
Interestingly, Schrödinger itself can't perform hybrid modeling (combining with macro-scale simulations), but it has recently collaborated with Ansys to achieve this. It's quite impressive!
The workshop featured attendees from various backgrounds, including professors, industry professionals, and even participants from Turkey. It was great to learn about ongoing research in both academia and industry.
Schrödinger is a large company that posts job openings on LinkedIn and their website. They offer internships and summer schools. Relevant job roles include:
Developers: Those who code.
Simulation Experts: Those strong in simulation and coding, responsible for supporting customer projects.
Customer Support: Those who know simulation well and can assist customers in understanding and using Schrödinger’s tools efficiently.
Feel free to reach out if you have any questions or want more details.
I started a new position at TU Darmstadt (May 2024)
Engaging in a project on optimizing compatibilizer architecture and managing contaminants in polymer blends.
Conduct an interview with a distinguished Mechanical Engineering professor at Akita Prefectural University (November 2023)
Learning more helps us navigate life better! Experience teachs us things we wouldn't know otherwise. Reading about successful people and understanding their journeys can make our own paths smoother.
When I was a Ph.D. student, I studied a book (Introduction to Practice of Molecular Simulation: Molecular Dynamics, Monte Carlo, Brownian Dynamics, Lattice Boltzmann and Dissipative Particle Dynamics) by Prof. Akira Satoh. He's a cool mechanical engineer who knows a lot about using computer methods for real-life problems.
Years later, I had the chance to interview Prof. Satoh in Japan. Even though he's actively contributing, he shared some awesome insights. You can read our chat here.
In 2023 I will attend in below conferences
What I am presently engaged in is...(September 2023)