A world team including Vrije Universiteit Brussel, VISTEC from Thailand, Universidad de Zaragoza and Universitat de Girona presents a computational framework for the organocatalytic cycloaddition of CO₂ to epoxides to form cyclic carbonates, key for the polymer industry. It identifies the rate-determining step and highlights the buried volume of epoxide oxygen as a key factor. Results align with experiments and support rational catalyst design beyond ascorbic acid, promoting predictive catalysis for efficient CO₂ utilization by machine learning tools. Their work was published in the journal Industrial Chemistry & Materials in May 2025.

On 29 May 2025, the Polarstern research vessel set sail from Bremerhaven for the Arctic. The destination of the 95 expedition participants, led by the Alfred Wegener Institute, is the AWI Hausgarten, a long-term observatory situated between Svalbard and Greenland. There they will investigate how the ecosystems of the Arctic deep sea are reacting to changing environmental conditions as a result of rapid climate change. The month-long expedition, which is scheduled to finish in Tromsø, Norway, at the end of June, will focus on benthic and plankton communities in the open water and physical changes in the ocean.

Haptophytes—the unicellular photosynthetic marine algae—are one of the major contributors to marine biomass. Scientists at Okayama University, Japan, unveil the first high-resolution structure of the photosystem II–FCPII (photosynthetic supercomplex) in a marine haptophyte, Chrysotila roscoffensis. This discovery sheds light on the unique approach of sunlight capture and energy management by the complex, offering new insights into marine biology and potential advances in artificial photosynthesis technology.

Discontinuous Deformation Analysis (DDA), a powerful tool for simulating the mechanical behavior of rock masses and discontinuous systems, has seen remarkable progress in recent 40 years. This article reviews DDA's evolution and explores how its integration with artificial intelligence (AI) could enhance simulation accuracy and computational efficiency.

SMU Assistant Professor Ma Yunshan’s latest research sets out to finetune the way AI predicts stock prices.

Research led by SMU Assistant Professor Shilpa Madan finds that the way we respond to stress is key to learning the norms of social interactions in unfamiliar environments.