D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Mathematics D-index 44 Citations 8,079 220 World Ranking 1084 National Ranking 83


What is he best known for?

The fields of study Peter Sollich is best known for:

  • Rheology
  • Polymer
  • Shear stress

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 most cited work include:

  • Rheology of Soft Glassy Materials (958 citations)
  • Rheological constitutive equation for a model of soft glassy materials (643 citations)
  • Glassy dynamics of kinetically constrained models (576 citations)

What are the main themes of his work throughout his whole career to date

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.

Peter Sollich most often published in these fields:

  • Statistical physics (61.72%)
  • Quantum mechanics (55.47%)
  • Thermodynamics (37.50%)

What were the highlights of his more recent work (between 2018-2022)?

  • Statistical physics (68.75%)
  • Quantum mechanics (50.00%)
  • Condensed matter physics (37.50%)

In recent works Peter Sollich was focusing on the following fields of study:

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.

Between 2018 and 2022, his most popular works were:

  • Precision of tissue patterning is controlled by dynamical properties of gene regulatory networks (26 citations)
  • Multiple Types of Aging in Active Glasses (21 citations)
  • Aging in a mean field elastoplastic model of amorphous solids (16 citations)

In his most recent research, the most cited works focused on:

  • Quantum mechanics
  • Gene
  • Polymer

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Rheological constitutive equation for a model of soft glassy materials

Peter Sollich.
Physical Review E (1998)

875 Citations

Glassy dynamics of kinetically constrained models

Felix Ritort;Peter Sollich.
Advances in Physics (2003)

793 Citations

Learning with ensembles: How overfitting can be useful

Peter Sollich;Anders Krogh.
neural information processing systems (1995)

431 Citations

Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities

Peter Sollich.
Machine Learning (2002)

283 Citations

Unified study of glass and jamming rheology in soft particle systems.

Atsushi Ikeda;Ludovic Berthier;Peter Sollich.
Physical Review Letters (2012)

251 Citations

Model selection for support vector machine classification

Carl Gold;Peter Sollich.
Neurocomputing (2003)

250 Citations

Predicting phase equilibria in polydisperse systems

Peter Sollich.
Journal of Physics: Condensed Matter (2002)

235 Citations

Large Deviations and Ensembles of Trajectories in Stochastic Models

Robert L. Jack;Peter Sollich.
Progress of Theoretical Physics Supplement (2010)

219 Citations

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)

198 Citations

Theory of Neural Information Processing Systems

A. C. C. Coolen;R. Kuhn;P. Sollich.

196 Citations

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Best Scientists Citing Peter Sollich

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Foundation for Research and Technology Hellas

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Michael E. Cates

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A. K. Sood

A. K. Sood

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Kenneth S. Schweizer

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Ben Fabry

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Sauro Succi

Italian Institute of Technology

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Alexandre Tkatchenko

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