At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don’t have much data. Conversely, successful machine learning (ML) tends to rely on large, high quality data sets for training. So how can researchers harness AI effectively to support their investigations? Published in Physical Review Research, scientists describe an approach for working with ML to tackle complex questions in condensed matter physics. Their method tackles hard problems which were previously unsolvable by physicist simulations or by ML algorithms alone.

POSTECH, MPK, and Max Planck Institute for Nuclear Physics have revealed the hidden dynamics of electrons during quantum tunneling.

Critically Endangered female angelsharks (Squatina squatina) are changing normal mating routines in warming oceans as they prioritise staying cool over visiting breeding grounds when things get too hot.

These changes are creating a potential mismatch in the mating behaviours between the sexes of angelshark that could have severe consequences for the future of the species, scientists say.

Despite their critical role in turf maintenance and because they aren’t pest management tools, wetting agents do not go through the same federal registration and labeling process as herbicides, fungicides, or insecticides, resulting in less research data about what they are and how they work. In the absence of such data, marketing terminology such as “penetrant” or “retainer,” along with anecdotal evidence, have been used instead. After several years of research, the results are in on the difference in turfgrass soil surfactants that are marketed as “penetrants” and “retainers.” The study titled “Penetrants Versus Retainers: Comparing Soil Surfactant Terminology to Performance in Sand-Based Putting Greens” found that differences between soil surfactants marketed as “penetrants” or “retainers” were inconsistent, if present at all.

The 2025 Innovation Crossroads cohort brings together six entrepreneurs who will collaborate with ORNL to accelerate advancements in energy and emerging technologies that strengthen U.S. competitiveness and regional economic growth. 

University of Göttingen Professors – Lutz Ackermann, Timo Betz and Jörg Enderlein – have each been awarded Proof of Concept (PoC) grants by the European Research Council (ERC). These grants provide top-up funding of €150,000 over 18 months to outstanding researchers, who have already received ERC funding, so that they can build on the innovation potential of their findings. This enables Europe’s top scientists to develop initiatives that boost the economy and society.