AIMC Topic: Quantum Theory
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Radical scavenging activity of natural antioxidants and drugs: Development of a combined machine learning and quantum chemistry protocol.
The Journal of chemical physics
Sep 21, 2020
Many natural substances and drugs are radical scavengers that prevent the oxidative damage to fundamental cell components. This process may occur via different mechanisms, among which, one of the most important, is hydrogen atom transfer. The feasibi...
The Potential of Quantum Computing and Machine Learning to Advance Clinical Research and Change the Practice of Medicine.
Missouri medicine
Jan 1, 2018
The importance of imagination (or lack thereof) in artificial, human and quantum decision making.
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Jan 13, 2016
Enlarging upon experiments and analysis that I did jointly some years ago, in which artificial (symbolic, neural-net and pattern) learning and generalization were compared with that of humans, I will emphasize the role of imagination (or lack thereof...
New fundamental evidence of non-classical structure in the combination of natural concepts.
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Jan 13, 2016
We recently performed cognitive experiments on conjunctions and negations of two concepts with the aim of investigating the combination problem of concepts. Our experiments confirmed the deviations (conceptual vagueness, underextension, overextension...
Machine Learning Predictions of Molecular Properties: Accurate Many-Body Potentials and Nonlocality in Chemical Space.
The journal of physical chemistry letters
Jun 18, 2015
Simultaneously accurate and efficient prediction of molecular properties throughout chemical compound space is a critical ingredient toward rational compound design in chemical and pharmaceutical industries. Aiming toward this goal, we develop and ap...
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