Algorithm and Machine learning are fields of study that overlap with his Artificial intelligence research. Peter Sollich incorporates Algorithm and Artificial intelligence in his research. Peter Sollich merges Statistical physics with Ising model in his research. Peter Sollich integrates Quantum mechanics and Scattering in his research. Peter Sollich performs integrative Thermodynamics and Non-equilibrium thermodynamics research in his work. His Composite material study frequently draws connections to other fields, such as Shear (geology). Peter Sollich undertakes multidisciplinary studies into Condensed matter physics and Mesoscopic physics in his work. In his works, he performs multidisciplinary study on Mesoscopic physics and Condensed matter physics. He combines Rheology and Shear rate in his studies.
His Polymer chemistry study in the realm of Dispersity interacts with subjects such as Thermodynamics. His research combines Dispersity and Polymer chemistry. In his works, he undertakes multidisciplinary study on Thermodynamics and Quantum mechanics. He links adjacent fields of study such as Phase (matter) and Ising model in the subject of Quantum mechanics. His Artificial intelligence research covers fields of interest such as Algorithm and Artificial neural network. He incorporates Algorithm and Artificial intelligence in his research. Peter Sollich conducts interdisciplinary study in the fields of Statistical physics and Condensed matter physics through his works. In his study, he carries out multidisciplinary Condensed matter physics and Statistical physics research. He undertakes multidisciplinary studies into Mathematical analysis and Geometry in his work.
His study explores the link between Lattice (music) and topics such as Acoustics that cross with problems in Dynamics (music). His work in the fields of Dynamics (music), such as Acoustics, overlaps with other areas such as Classical mechanics and Mathematical analysis. In his study, Peter Sollich carries out multidisciplinary Classical mechanics and Statistical physics research. Peter Sollich performs multidisciplinary study in Statistical physics and Mathematical physics in his work. His Crystallography research focuses on Amorphous solid and how it relates to Organic chemistry. His research on Organic chemistry frequently connects to adjacent areas such as Amorphous solid. In his articles, Peter Sollich combines various disciplines, including Quantum mechanics and Condensed matter physics. His work blends Condensed matter physics and Quantum mechanics studies together. In his works, he performs multidisciplinary study on Thermodynamics and Non-equilibrium thermodynamics.
Peter Sollich works mostly in the field of Crystallography, limiting it down to concerns involving Amorphous solid and, occasionally, Organic chemistry. His Organic chemistry study frequently involves adjacent topics like Amorphous solid. His Mathematical analysis study typically links adjacent topics like Exponential function and Sublinear function. His research links Mathematical analysis with Exponential function. In his works, Peter Sollich undertakes multidisciplinary study on Condensed matter physics and Statistical physics. Statistical physics and Mean field theory are two areas of study in which Peter Sollich engages in interdisciplinary work. Mean field theory and Condensed matter physics are two areas of study in which he engages in interdisciplinary research. Particle (ecology) is closely attributed to Oceanography in his research. He regularly ties together related areas like Particle (ecology) in his Oceanography studies.
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Rheological constitutive equation for a model of soft glassy materials
Physical Review E (1998)
Glassy dynamics of kinetically constrained models
Felix Ritort;Peter Sollich.
Advances in Physics (2003)
Learning with ensembles: How overfitting can be useful
Peter Sollich;Anders Krogh.
neural information processing systems (1995)
Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
Machine Learning (2002)
Unified study of glass and jamming rheology in soft particle systems.
Atsushi Ikeda;Ludovic Berthier;Peter Sollich.
Physical Review Letters (2012)
Model selection for support vector machine classification
Carl Gold;Peter Sollich.
Predicting phase equilibria in polydisperse systems
Journal of Physics: Condensed Matter (2002)
Large Deviations and Ensembles of Trajectories in Stochastic Models
Robert L. Jack;Peter Sollich.
Progress of Theoretical Physics Supplement (2010)
Accurate interatomic force fields via machine learning with covariant kernels
Aldo Glielmo;Peter Kurt Sollich;Alessandro De Vita;Alessandro De Vita.
Physical Review B (2017)
Theory of Neural Information Processing Systems
A. C. C. Coolen;R. Kuhn;P. Sollich.
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