About
This cluster uses and develops statistical physics and machine learning to design materials that can undergo dramatic and controllable changes in their properties, develop new methodologies to accurately compute long range intermolecular forces, understand collective behaviors in interacting living systems, design efficient and reliable quantum and classical computing schemes.
Research groups
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Complex systems and statistical mechanics
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Integrative Biophysics
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Experimental Soft Matter Physics
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Multifunctional ferroic materials
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Physics of active matter
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Physics of Living Matter
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Quantum Information Theory
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Theoretical Chemical Physics
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Theory of mesoscopic quantum systems