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New research dynamics are unfolding-II: Development cycles are reducing from 20 years to 1 year
Jan 29:
The use of silicon to make solar cells was the end result of 60 years of R&D
8But this traditional, human researcher-centric methods, however, are now insufficient for providing the materials innovations needed to deliver ubiquitous clean energy.
8The world has reached the limits of the human mind to assimilate the level of detail and magnitude of data that are now produced by experiments and computational simulations.
8Computer simulations with current computer power are approaching the limit to predict the properties of matter at the relevant length and time scales.
8Groups of scientists are now working hard reducing new materials development cycle from 20 years to 1 or 2 years.
8They are building on recent scientific breakthroughs and the ability to program machines to assist the design of materials, moving away from the drudgery of Edisonian discovery methods. Such breakthroughs allow scientists to order whole families of new materials based on desired properties without tedious hours of trial and experiments in the lab.
8The development of new AI-assisted theoretical methods has just begun speeding up the simulation and design and material synthesis capabilities beyond the scale of any human team.
8And the impact of these new sets of discoveries will be felt in the world of energy in lesser time than was thought earlier.
8The new approach uses artificial intelligence, machine learning, next generation computing, robotics, nano technology and inverse designing.
8The attempts are to evolve a Moore's law for research where the rate of research doubles every two years
Click on Reports for more.
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8But this traditional, human researcher-centric methods, however, are now insufficient for providing the materials innovations needed to deliver ubiquitous clean energy.
8The world has reached the limits of the human mind to assimilate the level of detail and magnitude of data that are now produced by experiments and computational simulations.
8Computer simulations with current computer power are approaching the limit to predict the properties of matter at the relevant length and time scales.
8Groups of scientists are now working hard reducing new materials development cycle from 20 years to 1 or 2 years.
8They are building on recent scientific breakthroughs and the ability to program machines to assist the design of materials, moving away from the drudgery of Edisonian discovery methods. Such breakthroughs allow scientists to order whole families of new materials based on desired properties without tedious hours of trial and experiments in the lab.
8The development of new AI-assisted theoretical methods has just begun speeding up the simulation and design and material synthesis capabilities beyond the scale of any human team.
8And the impact of these new sets of discoveries will be felt in the world of energy in lesser time than was thought earlier.
8The new approach uses artificial intelligence, machine learning, next generation computing, robotics, nano technology and inverse designing.
8The attempts are to evolve a Moore's law for research where the rate of research doubles every two years
Click on Reports for more.
