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MDTS: automatic complex materials design using Monte Carlo tree search
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Structure prediction of boron-doped graphene by machine learning
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Monte Carlo tree search for materials design and discovery
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Prediction and optimization of epoxy adhesive strength from a small dataset through active learning
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Microbubble flows in superwettable fluidic channels
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SuperMat: Construction of a linked annotated dataset from superconductors-related publications
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Free Analysis and Visualization Programs for Electrochemical Impedance Spectroscopy Coded in Python
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A universal Bayesian inference framework for complicated creep constitutive equations
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Data-based selection of creep constitutive models for high-Cr heat-resistant steel
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Emergent dynamics of neuromorphic nanowire networks
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Environmentally friendly recycling system for epoxy resin with dynamic covalent bonding
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Strengthening epoxy adhesives at elevated temperatures based on dynamic disulfide bonds
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Mechanochromism of dynamic disulfide bonds as a chromophoric indicator of adhesion strength for epoxy adhesive
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オープンサイエンス時代の研究者プロフィールサービス ―研究活動の可視化のためにやるべきことはなにか?―
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Rapid discovery of new Eu2+-activated phosphors with a designed luminescence color using a data-driven approach
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Virtual heat treatment for γ-γ′ two-phase Ni-Al alloy on the materials Integration system, MInt
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First-principles phonon calculations with phonopy and phono3py
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LO-mode phonon of KCl and NaCl at 300 K by inelastic x-ray scattering measurements and first principles calculations
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First-principles study of the reconstruction of MgM2O4 (M = Mn, Fe, Co) spinel surface
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A high voltage aqueous proton battery using an optimized operation of a MoO3 positive electrode
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