Results 231 to 240 of about 8,980,708 (398)

Programs for attracting under-represented minority students to graduate school and research careers in computational science. Final report for period October 1, 1995 - September 30, 1997

, 1997
James C. Jr. Turner, Thomas Mason, Bruno Guerrieri   +2 more
openalex   +2 more sources

Numerical Studies of Influencing Factors on the Homogeneity of the Powder Mixture during the Powder Spreading Process of Powder Bed Fusion–Laser Beam/Metal

Advanced Engineering Materials, EarlyView.
AISI 304L stainless steel powder is mixed with silicon nitride (Si3N4) powder and processed by PBF‐LB/M, allowing partial retention of Si3N4. The numerical approach effectively predicts the Si3N4 powder homogeneity and N content distribution on the powder bed. Recent studies have focused on the alloying of nitrogen (N) in high‐alloy stainless steels by
Yuanbin Deng, Ziping Sang, Jiali Zhang, Felix Radtke, Louis Becker, Simone Herzog, Sebastian Weber, Christoph Broeckmann   +7 more
wiley   +1 more source

Cross Over Research of Computational Science for Nuclear Engineering

, 1997
矢川 元基, 笠原 直人, 荒井 長利, 牧野内 昭武, 白石 春樹, 高橋 亮一, 山口 彰, 蕪木 英雄, 渡辺 正, 関口 智嗣, 佐藤 三久, 中田 秀基   +11 more
openalex   +2 more sources

Computational Earthquake Science Part II [PDF]

, 2002
Andrea Donnellan, Péter Móra, Mitsuhiro Matsu’ura, Xiang-Chu Yin   +3 more
openalex   +1 more source

Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture

Advanced Engineering Materials, EarlyView.
Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee, Mahdi Askari‐sedeh, Ali Zolfagharian, Mostafa Baghani   +3 more
wiley   +1 more source

Computationally Mediated Experimental Science [PDF]

, 2003
Nestor J. Zaluzec
openalex   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Editorial: Computational science and STEM education

Frontiers in Education, 2023
Jorge Rodríguez-Becerra, Jorge Rodríguez-Becerra, Johannes Pernaa   +2 more
doaj   +1 more source

Dynamics of Regenerative Heat Transfer. Series in Computational and Physical Processes in Mechanics and Thermal Sciences [PDF]

, 2003
AJ Willmott, H. Perez-Blanco
openalex   +1 more source