DOI,IST REx ID,Title of publication
10.1038/s41467-020-19606-y,9671,Liquid water contains the building blocks of diverse ice phases
10.1021/acs.accounts.0c00403,9675,Mapping materials and molecules
10.1038/s41586-020-2677-y,9685,Evidence for supercritical behaviour of high-pressure liquid hydrogen
10.48550/arXiv.2006.13316,9699,Extracting ice phases from liquid water: Why a machine-learning water model generalizes so well
10.17863/cam.50169,9708,Accompanying dataset for 'Hard antinodal gap revealed by quantum oscillations in the pseudogap regime of underdoped high-Tc superconductors'
10.1021/jacs.9b13450.s001,9713,Supporting information
10.1371/journal.pcbi.1007642.s001,9776,Supporting information
10.1371/journal.pcbi.1007642.s002,9777,Maximizing crosstalk
10.1371/journal.pcbi.1007642.s003,9779,Distribution of crosstalk values
10.5517/ccdc.csd.cc24vsrk,9780,CCDC 1991959: Experimental Crystal Structure Determination
10.6084/m9.figshare.7957472.v1,9798,Simulation code for Fig S2 from the distribution of epistasis on simple fitness landscapes
10.6084/m9.figshare.7957469.v1,9799,Simulation code for Fig S1 from the distribution of epistasis on simple fitness landscapes
10.6084/m9.figshare.5973013.v1,9814,Data and mathematica notebooks for plotting figures from language learning with communication between learners from language acquisition with communication between learners
10.1109/TVCG.2018.2883628,5681,Simulating liquids on dynamically warping grids
10.1007/s10955-019-02434-w,6358,"Non-commutative calculus, optimal transport and functional inequalities  in dissipative quantum systems"
10.1214/20-EJP479,6359,On the regularisation of the noise for the Euler-Maruyama scheme with irregular drift
10.1142/S2010326320500069,6488,Fluctuations for differences of linear eigenvalue statistics for sample covariance matrices
10.1007/s10208-019-09419-x,6563,Are two given maps homotopic? An algorithmic viewpoint
10.1007/s11075-019-00758-y,6593,An efficient projection-type method for monotone variational inequalities in Hilbert spaces
10.1214/20-AOS1945,6748,Analysis of a two-layer neural network via displacement convexity