In a study published in the Journal of the American Chemical Society, scientists revealed how pH controls hydration and Rb+ adsorption at alumina–water interfaces, advancing understanding of ion transport at oxide surfaces.
In a study published in ACS Catalysis, researchers discovered that Ti, Zr, and Hf catalysts on silicon nitride enable low-temperature propane dehydrogenation, improving selectivity and energy efficiency over traditional supports.
In a study published in Chemical Science, scientists showed that Jahn-Teller distortion in excited-state Cu(I) complexes controls electron transfer, offering new design principles for optimizing copper-based photosensitizers.
In studies published in Combustion and Flame and Progress in Energy and Combustion Science, scientists introduced a predictive combustion kinetics framework, enabling accurate simulations of complex chemical systems and advancing combustion science.
In a study published in Energy and Fuels, researchers used operando X-ray transient absorption to reveal how light and electrochemical bias affect cobalt centers in water-splitting catalysts.
In a study published in the Journal of Physical Chemistry Letters, scientists used time-resolved X-ray scattering to track atomic motions in platinum dimers, revealing how vibrational wavepackets evolve during ultrafast intersystem crossing.
In a study published in the Journal of Physical Chemistry Letters, researchers showed how spin-vibronic effects guide ultrafast electron transfer in platinum complexes, advancing understanding of dynamics in photoactivated processes.
In a study published in ACS Catalysis, scientists showed how tuning the microenvironment of cobalt catalysts enables selective and efficient CO2 reduction, revealing new strategies for designing advanced electrocatalysts for fuel production.
In a study published in the 2025 IEEE International Conference on eScience, researchers developed an active learning algorithm that doubles the rate of high-quality materials discovery, accelerating the search for advanced materials with generative AI.
In a study published in Communications Materials, scientists showed that calcite dissolves fastest in strained regions, revealing how defects and strain drive mineral reactivity and enabling more accurate models of mineral behavior.
