Influence of Environmental Exposures on the Mechanical Performance and Durability of 3D-Printed Cementitious and Alkali-Activated Composites. [PDF]
Rudziewicz M +3 more
europepmc +1 more source
PARSEC.py is a Python‐based real‐space Kohn–Sham DFT framework that leverages the Python scientific ecosystem for transparent, modular integration of machine‐learned densities and GPU acceleration. This unified design enables more efficient and scalable first‐principles simulations of large chemical and materials systems. ABSTRACT PARSEC.py is a Python‐
Zeyi Zhang +4 more
wiley +1 more source
Lecture, model, or both? Optimizing fracture education with 3D printing: a longitudinal interventional study. [PDF]
Cramer C +4 more
europepmc +1 more source
We introduce an additively manufactured bioreactor with a perfusion flow system and integrated temperature and pH sensors for skeletal muscle tissue biofabrication. The bioreactor's performance was evaluated by assessing the viability, spreading of the myoblast cells in a printed scaffold, and contraction of the isolated murine musculi interossei ...
Lys Sprenger +9 more
wiley +1 more source
Paraborg: Paramedic Cyborg Insects for In Situ Emergency Drug‐Delivery
This work introduces Paraborg, a human‐supervised paramedic cyborg‐insect platform that combines controllable locomotion, onboard imaging, and an auto‐injection mechanism for in situ drug‐delivery. By demonstrating reliable navigation, target stabilization, injector launch, and multi‐insect teamwork, the study extends cyborg insects from survivor ...
H. Nhan Le +5 more
wiley +1 more source
The Next Phase of 3D Bioprinting: AI-Native Systems-A Narrative Review. [PDF]
Zdravković N +2 more
europepmc +1 more source
Defects Induced Instability of Perovskite Solar Cells
Defect passivation and grain‐size engineering in perovskite films are achieved through precursor additives, antisolvent additives, interfacial modification, light treatment, surface polishing, and temperature treatment. The synergistic effects suppress defect states and enhance film quality, providing insights into effective strategies for improving ...
Davoud Dastan +13 more
wiley +1 more source
A Prediction Model of Interlayer Bond Strength for 3D-Printed Concrete Considering Printing Interval and Environmental Effects. [PDF]
Xu W +6 more
europepmc +1 more source
Machine Learning for Synthetic Organic Chemistry: Methods, Applications, and Best Practices
Artificial intelligence (AI) and machine learning (ML) are increasingly reshaping experimental chemistry. This review maps the challenges of synthetic organic chemistry to modern digital tools that can help address them. While focusing on the practical application of ML tools in real‐world laboratory settings, we outline prerequisites, emerging ...
Niklas Hölter +3 more
wiley +1 more source
Evaluating the printability and buildability of earth-based fiber-biopolymer composites for 3D printing applications. [PDF]
Dhakal S, Tiwari N.
europepmc +1 more source

