The field of exercise science has increasingly recognized the multifaceted benefits of physical activity as both a preventive and therapeutic tool across ...
Abstract: Planning smooth trajectories through a sequence of waypoints under nonconvex constraints is challenging due to the coupling between coefficient optimization and time allocation. Existing ...
At Pittcon 2026 in San Antonio, Texas, USA, LCGC International spoke with 2026 LCGC International Emerging Leader Award ...
The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...
Researchers have developed a hybrid surrogate model for iso-octanol oxidation to iso-octanal that integrates data-driven ...
Research shows that sex differences play a substantial role in health and disease progression. To improve basic and translational science and address the existing gap for women’s health research, ...
Abstract: In this article, we explore the use of gradient-based optimization algorithms for automated bias control in Mach–Zehnder modulators (MZMs). We present and demonstrate, experimentally, five ...
As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...
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