Preface to the special issue on 'Disordered serendipity: a glassy path to discovery'

Giorgio Parisi belongs to a rare class of universal scientists. For fifty years, his large breadthof interests and creative intuition has led to new seminal ideas in far-away areas of science. Inhis scientific career he addressed topics as diverse as particle physics, field theory, statisticalmechanics, fluid dynamics, condensed matter, numerical simulations and the constructions ofscientific computers.The trans-disciplinary approach of statistical physics to complex systems has been one ofthe long lasting interests of Parisi, who contributed to the theory of neural networks and theimmune system, surface growth, optimization and computational complexity and the collectivemovement of groups of animals. His work has had a big impact in all the fields he touched.A single work that represents a genuine breakthrough, is the replica symmetry breakingapproach to disordered systems and its twin formulation, the cavity method. These methodsled to a new understanding in the whole field of complex systems and keep generating newknowledge and stimulating multidisciplinary research.In 1979 Parisi found the exact solution of the Sherrington-Kirkpatrick spin glass throughan astonishing analysis of the permutation group of n elements in the limit n -> 0. The effort tointerpret his replica symmetry breaking (RSB) led him and his collaborators M´ezard and Virasoro to predict the existence of a new surprising phase, with broken ergodicity, hierarchicallyorganised pure states and non-trivial fluctuations of intensive thermodynamic quantities.The mathematisation of these pioneering results required 30 years of efforts and mathematicians are now discovering vast extensions of these concepts. The impact in physics and otherareas of science was immediate.The newly gained confidence in the replica method allowed in the 80's to solve Hopfieldmodel of a neural network and a myriad of applications in neural networks and machinelearning appeared.In the same years, the RSB based random first order transition theory (RFOT) for structuralglasses was proposed. From the 90's the deeply innovative extensions of the cavity and replicamethod to models on Bethe lattices, led to spectacular advances in computer science. Parisiwith M´ezard and Zecchina could exactly find the satisfiability threshold in the celebrated random K-Sat model, and, most interestingly, exploited this exact solution to build a new familyof algorithms that improved the state of the art by several orders of magnitude.More recently the RSB approach allowed the exact description of glassy phases of particlesin the limit of high dimension. This is the last step in Parisi's long quest for a first principletheory of structural glasses. This solution provides the microscopic foundation of RFOT theory.At the same time it proposes a picture that goes much beyond, predicting the existence of a newfundamental glass-to-glass transition at low temperature where the glass becomes marginally1751-8121/20/500301+3$33.00 © 2020 IOP Publishing Ltd Printed in the UK 1J. Phys. A: Math. Theor. 53 (2020) 500301 Prefacestable and ungapped excitations appear. Numerical evidence in favour of the presence of thistransition in finite dimension has been found by Parisi and collaborators. The most spectaculartested consequence of the theory is a universal description of jammed states of hard spheres,which accounts for the behaviour found in numerical simulations (also by the group of Parisi) inspatial dimension D spanning from 2 to 8. While the infinite dimensional solution will remaina cornerstone in the theory of the glasses the derivation of all its implication is only at thebeginning.The present special issue celebrates Giorgio Parisi's 70th birthday, and tries to give anoverview of the current state of research in the fields of statistical mechanics and interdisciplinary applications which have been marked by Giorgio Parisi's seminal contributions. Themanuscripts accepted for publication in this special issue do indeed cover a broad range ofsubjects, but they share the same theoretical approach based on the techniques pioneered by Giorgio Parisi