Human ages are named after materials - stone, bronze, iron, nuclear, silicon
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- Jemimah Gregory
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2 MATERIALS ARE KEY TO SOCIETAL WELL BEING Human ages are named after materials - stone, bronze, iron, nuclear, silicon
3 MATERIALS ARE KEY TO SOCIETAL WELL BEING We need novel materials for: Energy harvesting, conversion, storage, efficiency Environmental protection and reparation High-tech and high-value industries Health care and biomedical engineering Pharmaceuticals (crystallization, stability, polytypes) Monitoring, provenance, and safety of foods Information and communication technologies Fundamental science (graphene and 2D materials, topological insulators, entangled spins for quantum computing, high-t c ) Experimental science (detectors, sensors, magnets)
4 DISCOVERY TO APPLICATION IN THE 20 th CENTURY!#$%"!#&%"!#'%"!#(%"!#)%"!##%" *%%%" *%!%" Teflon Velcro Titanium production Polycarbonate Lithium-ion batteries Catalysts for olefin metathesis Diamond-like thin films Core-shell electro-catalysts for fuel cells Nobel Prize in Chemistry, 2005 GaAs Amorphous soft magnets We need to do better! After Gerd Ceder (MIT); materials information from T. W. Eagar and M. King, Technology Review 98 (2), 42 (1995). Catalysis information from R. Schrock et al. and R. Adzic et al.!"
5 MATERIALS DEVELOPMENT: INTUITION, SEARCHES, AND SERENDIPITY Edison tested 3000 materials for his filament settling on burned sewing thread.
6 MATERIALS DEVELOPMENT: INTUITION, SEARCHES, AND SERENDIPITY Edison tested 3000 materials for his filament settling on burned sewing thread. Haber Bosch ammonia synthesis used osmium as catalyst. Mittasch (BASF) tested more than 22,000 materials to identify the iron-based catalyst which is still used today.
7 MATERIALS DEVELOPMENT: INTUITION, SEARCHES, AND SERENDIPITY Edison tested 3000 materials for his filament settling on burned sewing thread. Haber Bosch ammonia synthesis used osmium as catalyst. Mittasch (BASF) tested more than 22,000 materials to identify the iron-based catalyst which is still used today. Norskov showed in 2009 that CoMo is a more efficient inexpensive catalyst.
8 ACCELERATING TECHNOLOGY TRANSFER 2001: first-principles calculations show tunnelling magnetoresistance (TMR) in Fe/MgO/Fe junctions 2004: IBM and others show experimental TMR of 200% 2007: all hard drives shipped are based on TMR
![accurate and efficient way [ ].](/docs-images/90/101996573/images/9-1.jpg "The Car Parrinello approach is the leading strategy along")
9 THE RISE OF SIMULATION SCIENCE The prize focuses on how to evaluate the variation in the energy of the real system in a accurate and efficient way [ ]. The Car Parrinello approach is the leading strategy along this line. Simulations are so realistic that they predict the outcome of traditional experiments. From
10 THE RISE OF SIMULATION SCIENCE
11 MOST CITED PAPERS IN APS (FROM 1893) Journal # cites Title Author(s) 1 PRB (1988) Development of the Colle-Salvetti Correlation-Energy Lee, Yang, Parr 2 PRL (1996) Generalized Gradient Approximation Made Simple Perdew, Burke, Ernzerhof 3 PRA (1988) Density-Functional Exchange-Energy Approximation... Becke 4 PR (1965) Self-Consistent Equations Including Exchange and Correlation Kohn and Sham 5 PRB (1996) Efficient Iterative Schemes for Ab Initio Total-Energy Kresse and Furthmuller 6 PRB (1976) Special Points for Brillouin-Zone Integrations Monkhorst and Pack 7 PRB (1992) Accurate and Simple Analytic Representation of the Electron Perdew and Wang 8 PRB (1999) From Ultrasoft Pseudopotentials to the Projector Augmented Kresse and Joubert 9 PRB (1990) 9840 Soft Self-Consistent Pseudopotentials in a Generalized Vanderbilt 10 PR (1964) 9789 Inhomogeneous Electron Gas Hohenberg and Kohn 11 PRB (1981) 9787 Self-Interaction Correction to Density-Functional Approx. Perdew and Zunger 12 PRB (1992) 9786 Atoms, Molecules, Solids, and Surfaces - Applications of the Perdew, Chevary, 13 PRB (1986) 9313 Density-Functional Approx. for the Correlation-Energy Perdew 14 PR (1934) 9271 Note on an Approximation Treatment for Many-Electron Systems Moller and Plesset 15 PRB (1994) 9100 Projector Augmented-Wave Method Blochl 16 PRL (1980) 7751 Ground-State of the Electron-Gas by a Stochastic Method Ceperley and Alder 17 PRL (1987) 7663 Inhibited Spontaneous Emission in Solid-State Physics Yablonovitch 18 PRL (1986) 7589 Atomic Force Microscope Binnig, Quate, Gerber 19 PRB (1991) 7425 Efficient Pseudopotentials for Plane-Wave Calculations Troullier and Martins 20 PRB (1993) 6925 Ab initio Molecular Dynamics for Liquid Metals Kresse and Hafner 21 PR (1961) 6467 Effects of Configuration Interaction on Intensities and Phase Shifts Fano 22 PR (1957) 6260 Theory of Superconductivity Bardeen, Cooper, Schrieffer
12 NATURE, October 2014 THE TOP 100 PAPERS: 12 papers on quantum simulations in the top-100 most cited papers in the entire scientific literature, ever.
13 THROUGHPUT CAPACITY DOUBLES EVERY 14 MONTHS Computing power Sum of the top 500 supercomputers Number 1 Number 500 If brick-and-mortar laboratories were to follow this pace, an experiment that took one year in 1986 would take one second in 2015 (30-million-fold increase)
14 REVOLUTION, NOT EVOLUTION So, what would happen if the accuracy and speed of our experiments were to increase at the speed of informationand-communication technologies? A revolution in scientific discovery and technological development
15 WORLDWIDE DRIVE: THE MATERIALS GENOME INITIATIVE To help businesses discover, develop, and deploy new materials twice as fast, we re launching what we call the Materials Genome Initiative. The invention of silicon circuits and lithium ion batteries made computers and ipods and ipads possible, but it took years to get those technologies from the drawing board to the market place. We can do it faster. -President Obama (6/11)
16 CONCLUSIONS We plan to transform and accelerate invention and discovery in science and technology, and especially to transform and accelerate the design and discovery of novel materials. We will achieve this objec0ve by exploi0ng: the predic0ve accuracy of quantum simula0ons Moore s law for resources (doubling every 14 months) the powerful synergy of modeling and simula0on with the ideas and tools of computer science
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