Results 171 to 180 of about 854,725 (353)

Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth

Advanced Functional Materials, EarlyView.
Compared to labor‐intensive trial‐and‐error experimentation, a machine learning (ML)‐guided workflow, incorporating cell viability assays, data augmentation, ensemble modeling, and model interpretation, is developed to accelerate nerve‐on‐a‐chip optimization and uncover data‐driven design principles.
Tsai‐Chun Chung, Chu‐Chun Liang, Min‐Wei Huang, Tianle Chen, Joshua M. Little, Snehi Shrestha, Yi‐Chen Ethan Li, I‐Chi Lee, Po‐Yen Chen   +8 more
wiley   +1 more source

PDB file parser and structure class implemented in Python [PDF]

, 2003
Thomas Hamelryck, Bernard Manderick
openalex   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source

Using Unmanned Aircraft Systems to Investigate the Detectability of Burmese Pythons in South Florida

, 1990
Joseph M. Cerreta, William J. Austin, David Thirtyacre, Scott Burgess, P. R. Miller   +4 more
openalex   +2 more sources

Experimentally Validated Design Principles of D‐Block Transition Metal Single‐Atom Non‐Dissociative Chemisorption Solid‐State Hydrogen Storage Materials

Advanced Functional Materials, EarlyView.
A novel descriptor and a bottom‐up design principle are established to enable the rational design of hydrogen storage materials based on d‐block transition metal single‐atom COFs. By modulating H₂ adsorption through d‐orbital tuning, this approach achieves both high storage capacity and fast kinetics, while revealing a volcano‐type relationship between
Qiuyan Yue, Chao Li, Yong Gao, Zhenglong Li, Wen‐Gang Cui, Xinqiang Wang, Guoquan Na, Xiaowei Wang, Yiyang Wan, Mingchang Zhang, Yanxia Liu, Fulai Qi, Chenchen Li, Xu Xue, Jian Miao, Jing Zhang, Xiao Han, Pan Wang, Chang Guo, Xiacui Liu, Mingxia Gao, Wenping Sun, Jian Chen, Zhenhai Xia, Hongge Pan   +24 more
wiley   +1 more source

Physiological and behavioral effects of handling and restraint in the ball python (Python regius) and the blue-tongued skink (Tiliqua scincoides)

, 1993
Michael D. Kreger, Joy A. Mench
openalex   +2 more sources

Gastric function and its contribution to the postprandial metabolic response of the Burmese pythonPython molurus [PDF]

, 2003
Stephen M. Secor
openalex   +1 more source

PsychoPy—Psychophysics software in Python

Journal of Neuroscience Methods, 2007
J. Peirce
semanticscholar   +1 more source

Thermal Expansion Behavior of PM6 Studied Using In Situ Wide‐Angle X‐Ray Scattering

Advanced Functional Materials, EarlyView.
In organic photovoltaics, small morphological changes can significantly impact performance. This study examines the thermal expansion of PM6 using in situ WAXS and GIWAXS from 30 to 300 °C. By analyzing samples of increasing complexity, factors like initial anisotropic nanoscale arrangements and substrate mismatches are quantified, revealing systematic
Meike Kuhn, Xu Huang, Matthew Gebert, Lars Thomsen, Christopher R. McNeill, Eva M. Herzig   +5 more
wiley   +1 more source

Ventricular haemodynamics inPython molurus: separation of pulmonary and systemic pressures [PDF]

, 2003
Tobias Wang, Jordi Altimiras, Wilfried Klein, Michael Axelsson   +3 more
openalex   +1 more source