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	1.	f90wrap: an automated tool for constructing deep Python interfaces to modern Fortran codes. [electronic resource] by Kermode, James R Publication details: Journal of physics. Condensed matter : an Institute of Physics journal Jul 2020 In: Journal of physics. Condensed matter : an Institute of Physics journal vol. 32 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	2.	A preconditioning scheme for minimum energy path finding methods. [electronic resource] by Makri, Stela Ortner, Christoph Kermode, James R Producer: 20190313 In: The Journal of chemical physics vol. 150 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	3.	Accelerating multiscale modelling of fluids with on-the-fly Gaussian process regression. [electronic resource] by Stephenson, David Kermode, James R Lockerby, Duncan A Publication details: Microfluidics and nanofluidics 2018 In: Microfluidics and nanofluidics vol. 22 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	4.	Molecular dynamics with on-the-fly machine learning of quantum-mechanical forces. [electronic resource] by Li, Zhenwei Kermode, James R De Vita, Alessandro Producer: 20150514 In: Physical review letters vol. 114 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	5.	Dissociative chemisorption of O2 inducing stress corrosion cracking in silicon crystals. [electronic resource] by Gleizer, Anna Peralta, Giovanni Kermode, James R De Vita, Alessandro Sherman, Dov Producer: 20140618 In: Physical review letters vol. 112 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6.	Multiscale simulations of critical interfacial failure in carbon nanotube-polymer composites. [electronic resource] by Gołębiowski, Jacek R Kermode, James R Mostofi, Arash A Haynes, Peter D Producer: 20181217 In: The Journal of chemical physics vol. 149 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	7.	Accuracy of buffered-force QM/MM simulations of silica. [electronic resource] by Peguiron, Anke Colombi Ciacchi, Lucio De Vita, Alessandro Kermode, James R Moras, Gianpietro Producer: 20150803 In: The Journal of chemical physics vol. 142 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	8.	Machine learning unifies the modeling of materials and molecules. [electronic resource] by Bartók, Albert P De, Sandip Poelking, Carl Bernstein, Noam Kermode, James R Csányi, Gábor Ceriotti, Michele Publication details: Science advances 12 2017 In: Science advances vol. 3 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	9.	A universal preconditioner for simulating condensed phase materials. [electronic resource] by Packwood, David Kermode, James Mones, Letif Bernstein, Noam Woolley, John Gould, Nicholas Ortner, Christoph Csányi, Gábor Producer: 20170110 In: The Journal of chemical physics vol. 144 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	10.	Low Speed Crack Propagation via Kink Formation and Advance on the Silicon (110) Cleavage Plane. [electronic resource] by Kermode, James R Gleizer, Anna Kovel, Guy Pastewka, Lars Csányi, Gábor Sherman, Dov De Vita, Alessandro Producer: 20160111 In: Physical review letters vol. 115 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	11.	In situ stable crack growth at the micron scale. [electronic resource] by Sernicola, Giorgio Giovannini, Tommaso Patel, Punit Kermode, James R Balint, Daniel S Britton, T Ben Giuliani, Finn Producer: 20171102 In: Nature communications vol. 8 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	12.	The atomic simulation environment-a Python library for working with atoms. [electronic resource] by Hjorth Larsen, Ask Jørgen Mortensen, Jens Blomqvist, Jakob Castelli, Ivano E Christensen, Rune Dułak, Marcin Friis, Jesper Groves, Michael N Hammer, Bjørk Hargus, Cory Hermes, Eric D Jennings, Paul C Bjerre Jensen, Peter Kermode, James Kitchin, John R Leonhard Kolsbjerg, Esben Kubal, Joseph Kaasbjerg, Kristen Lysgaard, Steen Bergmann Maronsson, Jón Maxson, Tristan Olsen, Thomas Pastewka, Lars Peterson, Andrew Rostgaard, Carsten Schiøtz, Jakob Schütt, Ole Strange, Mikkel Thygesen, Kristian S Vegge, Tejs Vilhelmsen, Lasse Walter, Michael Zeng, Zhenhua Jacobsen, Karsten W Producer: 20180208 In: Journal of physics. Condensed matter : an Institute of Physics journal vol. 29 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)