Results 151 to 160 of about 65,426 (218)

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

open access: yesAdvanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi   +2 more
wiley   +1 more source

Functionalized TiO2 Catalysts: Revolutionary Candidate for Low‐Temperature MgH2 and Prospects for Intelligent Integration

open access: yesAdvanced Intelligent Discovery, EarlyView.
Recent advances in TiO2 modification strategies: structure regulation and composite engineering for improved activity and functionality. TiO2 has emerged as a pivotal catalyst for enhancing MgH2, a high‐capacity solid‐state hydrogen storage material, owing to its structural versatility.
Xiaopeng Chu   +10 more
wiley   +1 more source

An Energy Landscape for Elemental Carbon. [PDF]

open access: yesJ Phys Chem Lett
Neuman V, Park SW, Wilson M, Wales DJ.
europepmc   +1 more source

Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei   +9 more
wiley   +1 more source

Bond Energy Descriptors Enable Machine Learning With Limited Data: Design of Capping Agents for Thermoplastic Polyurethane Recycling

open access: yesAdvanced Intelligent Discovery, EarlyView.
Data scarcity is a critical bottleneck for machine learning in applied chemistry. We show that physics‐informed descriptors enable a simple linear model to predict the deblocking temperatures of capped diisocyanates to within 11 °C from just 19 measurements, demonstrating that embedding physical insight into descriptors, rather than relying on ...
Remsha Rafiq   +9 more
wiley   +1 more source

Molecular Preorganization Unlocks Reversible Solid‐State Photoconversion in Dianthrylnaphthalene‐Based Molecular Solar Thermal Systems

open access: yesAngewandte Chemie, EarlyView.
Three dianthrylnaphthalenes were synthesized and investigated for molecular solar thermal (MOST) energy storage. Naphthyl‐based bridging units preorganize the two anthracene moieties face‐to‐face, leading to improved photoisomerization quantum yield (QY) and unlocked bidirectional photoswitching in the solid state compared to previously reported ortho ...
Nicolò Baggi   +10 more
wiley   +1 more source

Home - About - Disclaimer - Privacy