297 results on '"Ghiringhelli, Luca M."'
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52. Trends in the Adsorption and Dissociation of Water Clusters on Flat and Stepped Metallic Surfaces
53. Autocatalytic and cooperatively-stabilized dissociation of water on a stepped platinum surface
54. Electronic Energy Functionals: Levy-Lieb principle within the Ground State Path Integral Quantum Monte Carlo
55. NOMAD: A distributed web-based platform for managing materials science research data
56. Automatic identification of crystal structures and interfaces via artificial-intelligence-based electron microscopy
57. Recent advances in the SISSO method and their implementation in the SISSO++ code
58. State-of-the-art models for the phase diagram of carbon and diamond nucleation
59. The design of Kinetic Functionals for Many-Body Electron Systems : Combining analytical theory with Monte Carlo sampling of electronic configurations
60. Water on Pt(111): the importance of proton disorder
61. High pressure diamond-like liquid carbon
62. Correction to: Identifying Outstanding Transition-Metal-Alloy Heterogeneous Catalysts for the Oxygen Reduction and Evolution Reactions via Subgroup Discovery
63. Identifying domains of applicability of machine learning models for materials science
64. An AI-toolkit to develop and share research into new materials
65. Data-driven equation for drug–membrane permeability across drugs and membranes.
66. Application of (Kohn–Sham) Density-Functional Theory to Real Materials
67. Crowd-sourcing materials-science challenges with the NOMAD 2018 Kaggle competition
68. Insightful classification of crystal structures using deep learning
69. The NOMAD Artificial-Intelligence Toolkit: turning materials-science data into knowledge and understanding
70. Accelerating Materials-Space Exploration for Thermal Insulators by Mapping Materials Properties via Artificial Intelligence
71. Liquid Carbon: Freezing Line and Structure Near Freezing
72. Terminology Services - Working Group Charter (NFDI section-metadata)
73. Towards efficient data exchange and sharing for big-data driven materials science: metadata and data formats
74. Hierarchical Symbolic Regression for Identifying Key Physical Parameters Correlated with Bulk Properties of Perovskites
75. Ab Initio Approach for Thermodynamic Surface Phases with Full Consideration of Anharmonic Effects: The Example of Hydrogen at Si(100)
76. FAIR research data with NOMAD: FAIRmat's distributed, schema-based research-data infrastructure to harmonize RDM in materials science.
77. Roadmap on Machine learning in electronic structure
78. SISSO++: A C++ Implementation of the Sure-Independence Screening and Sparsifying Operator Approach
79. Learning Design Rules for Selective Oxidation Catalysts from High-Throughput Experimentation and Artificial Intelligence
80. Correction to: Identifying Outstanding Transition-Metal-Alloy Heterogeneous Catalysts for the Oxygen Reduction and Evolution Reactions via Subgroup Discovery
81. Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning
82. Trends in atomistic simulation software usage [Article v1.0]
83. Learning design rules for selective oxidation catalysts from high-throughput experimentation and artificial intelligence
84. Materials genes of heterogeneous catalysis from clean experiments and artificial intelligence
85. Identifying Outstanding Transition-Metal-Alloy Heterogeneous Catalysts for the Oxygen Reduction and Evolution Reactions via Subgroup Discovery
86. Application of (Kohn–Sham) Density-Functional Theory to Real Materials
87. Publisher’s Note: “Data-driven equation for drug–membrane permeability across drugs and membranes” [J. Chem. Phys. 154, 244114 (2021)]
88. Information-theoretic approach to kinetic-energy functionals: the nearly uniform electron gas
89. Phenylalanine near inorganic surfaces: conformational statistics vs specific chemistry
90. Analytic Approach and Monte Carlo Sampling for Electron Correlations
91. Liquid Carbon: Freezing Line and Structure Near Freezing
92. Artificial intelligence for high-throughput discovery of topological insulators: The example of alloyed tetradymites
93. Identifying Domains of Applicability of Machine Learning Models for Materials Science
94. Artificial-intelligence-driven discovery of catalyst genes with application to CO2 activation on semiconductor oxides.
95. Viewpoint
96. Viewpoint: Atomic-Scale Design Protocols toward Energy, Electronic, Catalysis, and Sensing Applications
97. Determining surface phase diagrams including anharmonic effects
98. Viewpoint: Atomic-Scale Design Protocols toward Energy, Electronic, Catalysis, and Sensing Applications
99. Simultaneous learning of several materials properties from incomplete databases with multi-task SISSO
100. New tolerance factor to predict the stability of perovskite oxides and halides
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