Results 121 to 130 of about 1,147,666 (317)
A multimaterial approach is introduced to improve upon auxetic structures by combining two different polymers into the same reentrant honeycomb structure via additive manufacturing. The deformation behavior as well as the resulting Poisson's ratio are thereby improved significantly.
Alexander Engel+2 more
wiley +1 more source
AUTOMATIC EXTRACTION OF COMPUTER SCIENCE CONCEPT PHRASES USING A HYBRID MACHINE LEARNING PARADIGM
With the proliferation of computer science in recent years in modern society, the number of computer science-related employment is expanding quickly. Software engineer has been chosen as the best job for 2023 based on pay, stress level, opportunity for professional growth, and balance between work and personal life.
openaire +4 more sources
This review explores wafer bonding technologies, covering wafer preparation, activation methods, and bonding mechanisms. It compares direct and indirect bonding, highlights recent advancements and future trends, and examines applications in 3D integration and packaging.
Abdul Ahad Khan+5 more
wiley +1 more source
The Java Learning Machine: A Learning Management System Dedicated To Computer Science Education
This paper presents the Java Learning Machine (JLM), a platform dedicated to computer programming education. This generic platform offers support to teachers for creating programming microworlds suitable to teaching courses. It features an integrated and graphical environment, providing a short feedback loop to students in order to improve the ...
Quinson, Martin, Oster, Gérald
openaire +1 more source
The utilization of direct energy deposition (DED)‐arc additive manufacturing processes in industrial applications is increasing, and these processes have the potential for multi‐material applications. This work provides a overview of the state of research in DED‐arc made functional graded structures, to establish a link to potential industrial ...
Kai Treutler, Volker Wesling
wiley +1 more source
Scanning transmission electron microscopy imaging techniques are an essential tool to document dynamic developments, such as precipitation in aluminum alloys, during in situ heating experiments using transmission electron microscopy. However, in many cases, chemical information is required to interpret complex nanoscale processes.
Evelin Fisslthaler+4 more
wiley +1 more source
Computer Modeling and Machine Learning in Chemistry and Materials Science: From Properties and Reactions of Small Organic and Inorganic Molecules to the Smart Design of Polymers and Composites [PDF]
Alexander S. Novikov
openalex +1 more source
A machine learning‐driven framework is introduced to optimize 3D‐printable microneedles for enhanced tissue anchoring and reduced insertion damage. The optimized design achieves a 6.0‐fold improvement in pull‐out‐to‐penetration energy ratio over conventional shapes.
Jegyeong Ryu+5 more
wiley +1 more source