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.

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.

Researchers at Binghamton University, State University of New York have developed a process to turn food waste into biodegradable plastic.

In a step forward for soft robotics and biomedical devices, Rice University engineers have uncovered a powerful new way to boost the strength and durability of silicone-based soft devices without changing the materials themselves. Their study, published in a special issue of Science Advances, focuses on printed and musculoskeletal robotics and offers a predictive framework that connects silicone curing conditions with adhesion strength, enabling dramatic improvements in performance for both molded and 3D-printed elastomer components.

Probiotics are emerging tools used by neonatal intensive care units to promote healthy outcomes and prevent intestinal diseases such as necrotizing enterocolitis. Probiotic treatment often includes the administration of bacterial strains that belong to the Bifidobacterium genus. Bifidobacterium strains are especially abundant in the guts of children — particularly children who are breastfed — and are considered beneficial to human health.

Scientists have sought to use probiotics to deliver the benefits of Bifidobacterium to infants suffering from malnutrition. Researchers at Sanford Burnham Prebys and and colleagues at Washington University School of Medicine, Sabanci University and the University of California San Diego published findings July 16, 2025, in Nature Microbiology demonstrating the ability to predict the nutritional adaptations of Bifidobacterium strains by analyzing the distribution of hundreds of metabolic genes in thousands of Bifidobacterium genomes.