Sustainability is increasingly shaping how chemists design, synthesize, analyze, and manufacture molecules and complex mixtures that underpin ...

Translating regenerative medicine from lab research to large-scale clinical and commercial production requires robust, scalable, and tightly controlled ...

The workshop’s third panel, moderated by planning committee member Teresa Clement, Raytheon, dealt with post-additive processes, with a specific focus on dimensional accuracy, part quality, and ...

As rare disease trials face persistent feasibility challenges, Bayesian designs are gaining momentum by enabling more ...

Demonstrating the applicability of αη across a diverse range of systems. These include a canonical dynamical system (Rössler attractor), simulation data for slow earthquakes (spring-slider system), a ...

Synthetic data generation has emerged as a crucial technique for addressing various challenges, including data privacy, scarcity and bias. By creating artificial data that mimics real-world datasets, ...

Researchers tested a strategy for developing single-atom catalysts that may help us develop more efficient methods for water purification. All humans need clean water to live. However, purifying water ...

All humans need clean water to live. However, purifying water can be energy-intensive, so there is great interest in improving this process. Researchers at Tohoku University have reported a strategy ...

Data-driven science represents a transformative paradigm in materials science. Both data-driven materials science and informatics encompass systematic knowledge extraction from materials datasets.

As the demand for faster and more affordable mobile connectivity grows, so does the challenge of ensuring that networks can keep up – both in performance and profitability. A new technical paper ...