Hi, I’m Arturo
I’ve spent most of my life devouring books, scribbling down words, and traveling the globe. But I ain’t just all talk, I’ve published a novel, Zagreb, and also done some real science — quantum chemistry, simulations, and the like.
Over the years, I’ve worked various jobs and roles. I went from being a scientific editor and science communicator to a technology scout and sales & marketing manager. And somewhere in that whirlwind, I co-founded Quantistry.
Today—can you believe it?—I’m Managing Director Markets at botiss biomaterials. I travel the world, put my chemistry background to good use, and help bring innovative regenerative technologies to clinicians around the globe.
I can’t deny it: it’s a lot of fun.
So… I still keep an eye on quantum chemistry, AI, and molecular simulations—but from a distance. The frequency of writing on this blog has definitely taken a hit, but I still love it. I hope you will too.
From Quantum Chemistry To Stories
From Atoms to Words
A collection of my thoughts and musings on science, writing, and the intersection of the two.
Stories by Topic
Latest Stories
- Is Molecular Dynamics the Future of Nanoengineering of Construction Materials?
Molecular dynamics to design roads, bridges, and houses? Yes, through nanoengineering of construction materials. - Graphite to Diamond: Mechanistic Insights from Molecular Dynamics Simulations
Diamonds aren’t forever; they will eventually turn back into graphite. How does the phase transition from graphite to diamond and back unfold? - How Does CRISPR-Cas9 Edit DNA? Under the Computational Microscope
CRISPR-Cas9: the gene editing tool reshaping our era. How does it cleave the DNA? Let’s take a peep through the computational microscope. - Scientific Understanding in the Age of AI Oracles: A Journey Beyond Discovery
How is the concept of scientific understanding evolving in the age of AI? What exactly does this entail, and why does it matter? - Can Quantum Chemistry Simulations Help Trace the Origin of Life?
From cosmic crucibles to Earth’s primordial soups, can quantum chemistry simulations help us understand how lifeless molecules sparked life? - How Can Coarse-Grained Simulations Reveal Geckos’ Wall-Clinging Skills?
What’s actually going on at the molecular level when geckos get their Spider-Man on? Coarse-grained simulations provide an answer. - Quantistry €3 Million Thank You: Let’s Shape the Future of R&D from Quantum to AI
At Quantistry, we are celebrating a significant milestone: €3 million funding to transform chemical and material R&D. From Quantum to AI. - Anion-Pi Interactions: Exploring The Land of Opportunity in Chemistry
Once theoretically predicted, then experimentally confirmed, anion-pi interactions have become central in various fields of chemistry. - Serendipity in Science: What’s its Fate in the Age of AI?
What’s serendipity? Where does AI fit into the picture? And what can we anticipate for the future of scientific discovery? - ReaxFF Molecular Dynamics: Simulating Complexity Beyond Quantum Chemistry
To a quantum chemist, every science problem looks like a quantum chemistry problem. Enter ReaxFF molecular dynamics. - When Will RNA Structure Prediction Get Its AlphaFold Breakthrough?
We’ve mastered predicting protein structures from their sequences. Can we now replicate this success with RNA structure prediction? - Water’s Hydrogen Bonds: What Makes Them Vital for Life As We Know It?
How can water’s hydrogen bonds have such a colossal impact on the existence of life on Earth and, potentially, everywhere else? - All-Atom Molecular Dynamics of SARS-CoV-2: The Computational Microscope’s View of 305 Million Atoms
All-atom molecular dynamics simulations of the SARS-CoV-2 virus, featuring 305 million atoms! Is that even possible? Yes, it is. - Enzymatic Reactions: Quantum Chemistry Modeling of Life’s Catalysts
Can we really investigate enzymatic reactions and estimate their activation energies with quantum chemistry? Let’s talk “cluster approach.” - Machine Learning in Materials Science: A Second Computational Revolution?
The journey of machine learning in materials science is just at the beginning. Yet, its impact is already clear.