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Arturo Robertazzi

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Tag: Machine_Learning

29 November 20231 December 2023By Arturo Robertazzi

AI in Drug Discovery: Chasing Dreams, Facing Realities

is AI the real deal in drug discovery? And if it is, how exactly is it going to disrupt the drug discovery process?

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19 November 202328 November 2023By Arturo Robertazzi

Is Machine Learning Going to Replace Computational Chemists?

Machine learning is all over: drug discovery, material design, protein structure prediction. As computational chemists, should we be worried?

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9 November 202317 November 2023By Arturo Robertazzi

Chemical Space to Material Discovery: Simulations and Machine Learning Leading the Way

How astronomical is chemical space? Immensely so. How do we then discover & design the materials of tomorrow? Computation can give us a hand.

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10 October 202326 November 2023By Arturo Robertazzi

Do We Live in a Simulation? Yes, No, Maybe: Insights from 12 Leading Experts

Dive into the age-old debate: “Do we live in a simulation?” Explore experts’ views and join me as we weigh the arguments for and against.

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30 September 202328 November 2023By Arturo Robertazzi

Bridging Theory and Experiment: 14 Reasons Chemical Simulations Stand as the Third Pillar of R&D

Chemical simulations as the third pillar of research and development? From atomistic insights to sustainability, explore 14 reasons why.

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20 September 202314 November 2023By Arturo Robertazzi

60 Years in the Making: AlphaFold’s Historical Breakthrough in Protein Structure Prediction

After decades of scientific pursuit, machine-learning based AlphaFold has revolutionized protein structure prediction.

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1 September 202328 November 2023By Arturo Robertazzi

Digital Alchemy: Computers in Chemistry and the Future of Scientific Discovery

From today’s computers in chemistry to 4 future scenarios of scientific discovery: A post-vacation musing.

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26 June 202328 November 2023By Arturo Robertazzi

7 Noncovalent Interactions in Proteins: The Hidden Architects of Structures and Functions

Noncovalent interactions in proteins: the flexible wonders that bestow proteins the magic of three-dimensionality.

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15 June 202327 November 2023By Arturo Robertazzi

Large Language Models for Chemistry: Is the Beginning of a New Era?

If I swap the metal in my metal-organic framework, will it be moisture-stable? Soon, we could ask our personal language models for chemistry.

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5 June 202327 November 2023By Arturo Robertazzi

Computer-aided Next-Generation Battery Design: From Edisonian trial-and-error to Atomistic Simulations

How can we search through the 10^100 permutations of battery materials? The answer lies in computer-aided next-generation battery design.

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21 April 202327 November 2023By Arturo Robertazzi

Let’s Fight Climate Change With The Computational Design of Metal-Organic Frameworks (MOF’s)

The computational design of MOFs to improve stability, mechanical properties, and catalytic capabilities can help save the planet.

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ARTURO ROBERTAZZI

Arturo is an accomplished scientist, with a Ph.D. in quantum chemistry from the University of Cardiff (UK) and the prestigious Alexander von Humboldt Fellowship to his credit. During his scientific career, which has taken him to three European countries and five academic institutions, Arturo has co-authored 30+ peer-reviewed publications and books. He currently leads the Sales & Marketing team at Quantistry. Arturo is the published author of the novel Zagreb.

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